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COG-205 IBM Cognos 8 Controller Technical Specialist

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COG-205 exam Dumps Source : IBM Cognos 8 Controller Technical Specialist

Test Code : COG-205
Test title : IBM Cognos 8 Controller Technical Specialist
Vendor title : IBM
: 47 true Questions

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IBM IBM Cognos 8 Controller

The influence On IBM i Of huge Blue’s Acquisition Of crimson Hat | killexams.com true Questions and Pass4sure dumps

October 31, 2018 Timothy Prickett Morgan

neatly, they will honestly roar that they didn't espy that coming when IBM and pink Hat announced late final Sunday afternoon that mountainous Blue would subsist shelling out $34 billion to acquire the world’s most a success company that peddles assist for open supply infrastructure software.

satirically, on the time I happened to subsist writing about how IBM and crimson Hat had just introduced that they had brought the OpenShift Container Platform, a mashup of Docker and Kubernetes, to energy programs machines operating Linux, and i become lamenting that it turned into no longer trivial to determine a course to integrate this application with the IBM i platform. I had some ideas, as I often do. IBM had a greater direct one, and that's to purchase crimson Hat outright for this sort of extreme premium – 62.8 p.c above the $20.fifty three billion market value that Wall street had valued red Hat at on the Friday earlier than the information broke – that it probably will now not espy competitive bidders try to swoop in and purloin its recent hat.

here is an incredible amount of money for IBM to blow on an acquisition – virtually 10 instances what it paid for Lotus pile Corp in 1995 to ensnare the Domino platform, forty six times what it paid for Tivoli system’s Netfinity device management equipment, and 7 instances that it paid for Cognos for its information analytics tackle returned in 2008. Pricewaterhouse Coopers Consulting, the first massive deal that Ginni Rometty, IBM’s present president, chief government officer, and chairman, took down in 2002, charge $three.5 billion and significantly added to what IBM world features might do. Rational utility in 2003 can charge IBM one more $2.1 billion. if you add the entire huge offers that IBM has performed considering 2000 and possibly the diminutive ones, too, it likely does not exceed $34 billion. So if IBM is blowing its money and borrowing towards its credit score strains and stopping its participate buybacks in 2020 and 2021 to pay for purple Hat, you must determine it's relatively critical.

lethal serious, really. Rometty should carry out some thing that is coherent to the IT sector at massive and that offers her a long-lasting legacy on pointing IBM towards a future that provide sit an break to subsist a much bigger participant in IT, no longer one that is steadily enshrinkening itself by course of divestitures and modern profits declines. The acquisition also gives IBM a comparatively finished infrastructure platform that can flee by itself energy systems and gadget z servers as well as the X86 servers which are sold with the aid of its many competitors.

red Hat’s trade Linux is standard to more than a yoke of IBM i retail outlets, and is via a ways the paramount Linux distribution in the enterprise. it's doubtless probably the most generic Linux on earth, if you involve the hundreds of thousands of shoppers the usage of RHEL as well as its CentOS clone, which the enterprise got just a few years returned. Their guess is that there are around 2 million machines on this planet working RHEL and perhaps another 2 million working CentOS. in case you count number up every the homegrown Linux cases in consume through seven of the tremendous Eight hyperscalers and cloud builders – Google, Amazon, no longer Microsoft very much, and facebook in the u.s. and Alibaba, Baidu, Tencent, and China cell in China – there's doubtless effectively a different 10 million to 12 million Linux servers in that combine, and including the entire supercomputing and technical computing that runs on Linux other than RHEL and CentOS plus the factor of company datacenters it really is additionally not controlled by red Hat doubtless provide you with whatever around 1 million machines. That gives Linux about a third of the installed ground of 45 million servers on earth, with the residue primarily operating home windows Server. if you add up every of the servers on this planet running IBM i, AIX, and z/OS plus some other working system you can feel of (there aren’t many options left), that's doubtless somewhere round 1 million machines. Tops.

there is a explanation why Microsoft is noiseless rich. And this is it.

Now, IBM has reclaim itself lower back into rivalry with Microsoft, and that's doubtless a superb issue for its long-time age monetary health. whereas we're obsessed with IBM’s efforts to promote greater Linux on power systems for modern workloads – the entire recent and animated simulation, modeling, machine discovering, and analytics application is at every times developed on Linux systems, and so are container systems for microservices vogue purposes – there is no approach that IBM may ever relish constructed up the sort of company purple Hat has done by pushing the Linuxes of others on its iron. I did an in depth analysis of the financials of the deal over at the subsequent Platform, so if you are looking to espy that, just hit the link. What you requisite to examine here in IBM i Land is what the acquisition capability for vitality systems in universal and IBM i in particular, and as I spoke of ultimate week, how IBM will carry out a far better job integrating red Hat’s stacks with IBM – without disrupting issues.

despite what Rometty and Jim Whitehurst, pink Hat’s chief government officer, stated throughout their conference convoke on Wall road going over the deal, where they each proclaimed there is not any overlap in products from the two agencies, here's strictly not actual and notwithstanding there isn't overlap, there definitely is competitors. If even IBM doesn’t knock out its personal items with those from red Hat, it might suggest that construction on the aboriginal IBM items slows or even stalls out.

Let’s retract a few circumstances confiscate here and now so you espy my aspect:

  • red Hat has its own OpenStack distribution, referred to as OpenStack Platform; and IBM has its personal called PowerVC.
  • pink Hat has a Docker container orchestration platform known as OpenShift; and IBM has IBM Cloud inner most, as they discussed closing week.
  • purple Hat has a multicloud administration stack that works at the digital laptop level and can subsist extended to containers with OpenShift on revise of it referred to as Cloud forms; IBM has its recent IBM Multicloud manager for containers and has a slew of virtualization management tackle that it has offered over the years.
  • IBM sells AIX and IBM i on power systems and z/OS and different operating methods on its tackle z mainframes; Linux money owed for the majority of potential bought on mainframes at the second and has for years, and Linux is turning out to subsist on energy systems as a percentage of capacity offered. this is oblique competition, intellect you, but there you've got it.
  • red Hat sells JBoss Java utility middleware, and it makes a lot of dough; IBM has WebSphere Java utility middleware and it makes a lot of dough.
  • pink Hat has the Gluster parallel file gadget and the Ceph remonstrate and obscure storage device; IBM has Spectrum Scale (previously the conventional Parallel File tackle or GPFS) and Cloud remonstrate Storage out on the IBM Cloud.
  • purple Hat does not relish plenty within the manner of relational database administration programs; IBM has Db2 in its a number of guises. both peddle open supply databases and datastores from the open source neighborhood.
  • IBM sells SUSE Linux commercial enterprise Server and Canonical Ubuntu Server on power systems and tackle z mainframes.
  • crimson Hat sells JBoss Developer Studio; IBM sells Rational Developer.
  • I don’t pretense that here's an exhaustive record, but it surely hits the great conflicts and overlaps and it most actually is a non-zero number. IBM has committed to leaving pink Hat extra or less alone, in a “diverse” division the station Whitehurst studies directly to Rometty, and constituents of purple Hat’s may subsist suggested in its Hybrid Cloud division and different ingredients in international capabilities, curiously. So there goes any visibility into what purple Hat is really doing once this deal closes. but the actual hardship isn't so a lot that IBM should subsist tempted to movement companies from its personal types of infrastructure application to the red Hat versions, or even wholesale off IBM i and AIX to Linux on power with Db2 behind it. They don’t deem IBM will carry out that, at least no longer for just a few years after purple Hat’s trade has been built-in and maybe great chunks of its infrastructure utility. Their hardship is extra that IBM will now not fund development in its own wares, and that AIX and IBM i retail outlets will espy software tools that they consume whither from forget.

    this is no longer the repose any of us deserve to subsist anxious about for now, mainly with the deal probably now not closing for the stronger a participate of a yr. but it is critical to preserve a watch on what IBM does with crimson Hat and what it doesn’t carry out with its own tools. and that is what they can do. it's why you maintain us around, in spite of everything.

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    IBM launches Cognos 8 V4 – recent enterprise-driven PM utility | killexams.com true Questions and Pass4sure dumps

    October 6, 2008 • commercial enterprise

    Cognos, an IBM enterprise that grants enterprise intelligence and performance administration options, has unveiled IBM Cognos eight v4 which extends IBM’s recommendation on claim strategy to embolden consumers better their capacity to engage the enterprise consumer via a more dynamic and interactive experience, inform their resolution making with improved context and relevance and align their approach and operations via comprehensive visibility to pursuits, plans, forecasts and metrics throughout finance and operations.

    IBM Cognos 8 v4 lets organisations readily and securely extend entry to trusted information to entirely interact a various group of personnel, consumers and partners across monetary and operational divisions and tactics.Richer BI and performance management user capabilities akin to enterprise planning, dashboards, analytics and reporting combine with an enhanced business-type platform, springy enterprise modeling, and customer-oriented interfaces to embolden enterprise clients gain access and engage with the revise information necessary for determination making to optimise company efficiency.

    informal enterprise clients, enterprise managers, and executives in every sizes of organizations are grappling with tips overload and the speedy tempo of change in today’s globally linked economic climate. These types of enterprise users signify eighty% of worker's in ordinary corporations, in line with Wayne Eckerson, director of TDWI research on the records Warehousing Institute.* They want quick access to valuable information, even if they are in the office or on the road, to get suggested selections that better monetary and operational visibility and compel overall performance.

    New self-serve flash-based mostly dashboard, mobile and search capabilities in IBM Cognos 8 v4 assist enterprise clients straight away compel selections through flexible, purchaser-oriented interfaces that let them access and engage with valuable efficiency counsel using widespread functions or gadgets. These consist of BlackBerry, Symbian or home windows mobile instruments, enterprise search engines devotion google and yahoo or desktop productivity purposes.

    The debut of IBM Cognos eight enterprise perspective introduces recent move-practical trade modelling capabilities to advocate trade users and IT collaborate.enterprise users outline a shared illustration of how their trade information should noiseless subsist structured and seen to power selections in a workflow atmosphere without disruption to the downstream methods which might subsist governed by course of IT. These capabilities let economic analysts, line and company managers, or data stewards retain, govern and participate hierarchies and trade views based on their personal organisational preferences whereas the IT department retains manage over how accredited alterations are posted and used.

    consumers can further align enterprise operations, advanced analytics and strategic plans throughout the supplier through the consume of IBM Cognos Now! and IBM Cognos TM1 as trusted facts sources for IBM Cognos eight BI and Planning. Key metrics from the constant trade monitoring of operational metrics can effectively subsist brought to a personalised company dashboard along with key constituents of company reports which are pertinent to a selected line of business. Newly up to date enterprise planning capabilities blend both planning and analysis elements to assist increase the productiveness and accuracy of planners in the planning process. Planners can also construct persistent views of the company to provide multiplied context for forecast facts entry.

    These stronger person capabilities are supported by recent options and up to date knowledgeable functions, training, and aid choices to further accelerate customer success. today, Cognos has also delivered IBM Cognos eight monetary efficiency Analytics which is the newest addition to the Cognos’household of Analytic applications. it is designed to give companies with quick, actionable insights into monetary efficiency the consume of utterly-configurable reports for typical ledger, receivables and payables analysis.

    New enhancements to the Cognos eight business-classification platform assist enterprise clients gain advantageous context from the suggestions they obtain, and gives the IT arm with streamlined construction and management capabilities:

    entry to the capabilities of trade glossary, participate of the IBM InfoSphere portfolio, which offers trade users with access from each record to an enterprise dictionary for consistent interpretation of described terms reminiscent of “gross margin” or “consumer” and stewardship suggestions it is used to aid govern the statistics they are taking a stare at.

    aid for annotations lets clients add ideas, choices and comments to stories and charts to give additional perception into the counsel for reviewers.

    document authors or statistics modelers can now view trade lineage of where the data become sourced for reviews, or view the all facts supply chain by course of linking to third party metadata providers or by course of pre-constructed integration with InfoSphere counsel Server for conclusion-to-end information lineage. This helps these users preserve in reason where the facts got here from, and provides report authors and facts modelers with streamlined document design and troubleshooting.

    a recent gadget management methodology gives technical whitepapers, pattern reviews, fashions and tackle to assist gadget administrators continuously increase how deployments are managed via accelerating the implementation of confirmed practices.

    greater advocate of IBM InfoSphere Warehouse through addition of InfoSphere cubing services as a data source expands the electricity of the IBM Cognos OLAP portfolio by using giving consumers a complete. spectrum of OLAP expertise to address their breadth of needs

    New metadata integration with Rational records Architect allows those purchasers who model their facts during this routine to effortlessly integrate that drudgery devoid of duplication of effort.supporting charges

    “personnel and government administration inside every sizes of enterprises are challenged to enhance company efficiency in the course of the strategic consume of tips, but they don’t relish time or supplies to sift via mountains of information to pinpoint what's critical,” says David McWilliam, MD at Cognos South Africa, an IBM business. “Cognos 8 v4 empowers the trade by means of connecting agile, optimised monetary and operational enterprise processes and aligning, enticing and informing personnel with mission-important tips that drives helpful decision-making for pervasive performance administration throughout the supplier.”

    AvailabilityThe consumer capabilities, enterprise platform and linked proven rehearse solutions surrounding IBM Cognos 8 v4 should subsist obtainable in this autumn, 2008 direct from Cognos, an IBM company or its network of resellers.

    IBM Cognos eight v4 is a key component of IBM’s tips Agenda, a recent strategy which includes trade-particular application and consulting features geared to assisting shoppers consume suggestions on claim as a strategic asset across their corporations.

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    splendid Clips Selects IBM Cognos 8 trade Intelligence utility | killexams.com true Questions and Pass4sure dumps

    Cognos, an IBM company, a provider in enterprise intelligence and performance management options, recently introduced that extremely helpful Clips has selected IBM Cognos 8 enterprise Intelligence (BI) as its universal to streamline operational reporting and analysis. 

    With over 2600 areas, extremely helpful Clips is the greatest franchised salon brand in North the usa. The trade desired to enhanced assist salon operations by automating its reporting and analysis tactics and providing company users with multiplied access to performance assistance via self-provider capabilities. this will provide the chain more desirable visibility into salon performance, franchise operations, station openings, promoting effectiveness, trade trends and its client base.

    With over 2600 places, high-quality Clips is the greatest franchised salon company in North america. The enterprise desired to more advantageous embolden salon operations through automating its reporting and analysis strategies and proposing trade clients with improved access to efficiency assistance through self-service capabilities. this may provide the chain greater visibility into salon efficiency, franchise operations, region openings, promotion effectiveness, enterprise traits and its client base.

    To streamline these efforts, remarkable Clips conducted a complete aggressive evaluation to find a BI reply with mighty trade reporting capabilities that relish been convenient to get consume of and retain. IBM Cognos 8 BI turned into selected to combine with exceptional Clips’ Microsoft environment and seamlessly pull information from a number of disparate sources including the company’s monetary, human supplies, franchise, legal, and aspect of Sale (PoS) methods.

    “Our strategy is to buy flexible, best-in-type functions that require minimal upkeep install at once and provides managers effortless-to-use ‘self-serve’ capabilities,” spoke of Kathy Wetzel, Vice-President, IT, awesome Clips. “With Cognos they will crop back reporting and analysis efforts and enrich facts consistency and accuracy, which will provide their operations and franchising managers the insight obligatory to get better selections. They call to espy a quick payback on their investment readily from freeing their company clients from usher evaluation.”

    This BeyeNETWORK tidings merchandise incorporates information from a recent press unencumber by means of the trade mentioned.


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    COG-205 exam Dumps Source : IBM Cognos 8 Controller Technical Specialist

    Test Code : COG-205
    Test title : IBM Cognos 8 Controller Technical Specialist
    Vendor title : IBM
    : 47 true Questions

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    Outliers and coexistence are the recent mediocre for mountainous data | killexams.com true questions and Pass4sure dumps

    Letting data talk for itself through analysis of entire data sets is eclipsing modeling from subsets. In the past, every too often what were once disregarded as “outliers” on the far edges of a data model turned out to subsist the telltale signs of a micro-trend that became a major event. To enable this advanced analytics and integrate in real-time with operational processes, companies and public sector organizations are evolving their enterprise architectures to incorporate recent tools and approaches.

    Whether you prefer “big,” “very large,” “extremely large,” “extreme,” “total,” or another adjective for the “X” in the “X Data” umbrella term, what’s critical is accelerated growth in three dimensions: volume, complexity and speed.

    Big data is not without its limitations. Many organizations requisite to revisit trade processes, decipher data silo challenges, and invest in visualization and collaboration tools to get mountainous data understandable and actionable across an extended organization.

    “Sampling is dead”

    When complete huge data volumes can subsist processed and analyzed at scale, “sampling is dead,” says Abhishek Mehta, former Bank of America (BofA) managing director and Tresata co-founder, and speaker at final year’s Hadoop World. Potential applications involve risk default analysis of every loan in a bank’s portfolio and analysis of granular data for targeted advertising.

    The BofA corporate investments group adopted a SAS high performance risk management solution together with IBM BladeCenter grid and XIV storage to power credit-risk modeling, scoring and loss forecasting. As explained in a recent convoke with the SAS high-performance computing team, this recent enterprise risk management system reduced calculation times at BofA for forecasting the probability of loan defaults from 96 hours to four hours. In addition to speeding up loan processing and hedging decisions, Bank of America can aggregate bottom-up data from individual loans for perhaps a more accurate picture of total risk than what was possible previously by testing models on just subsets of data.

    nPario holds an exclusive license from Yahoo for technology based on columnar storage that within Yahoo’s internal infrastructure handles over eight petabytes of data for advertising and promotion, per a February 2011 discussion with nPario President and CEO Bassel Y. Ojjeh. nPario has basically forked the code, so that Yahoo can continue their internal consume while nPario goes to market with a commercial offering for external customers. The nPario technology enables analysis at the granular level, not just at aggregate or sampled data. In addition to supporting a achieve of other data sources, nPario offers complete integration with Adobe Omniture, including APIs that can pull data from Omniture (although Omniture charges a fee for this download).

    Electronic Arts uses nPario for an “insight’s suite” that details how gamers engage with advertising. The nPario-powered EA analytics suite tracks clicks, impressions, demographic profiles, companionable media buzz and other data across EA’s online, console game, mobile and companionable channels. The result is a much more precise understanding of consumer intent and competence to micro-target ads, over what was previously possible either with sampled data or with data limited to just online or shrink-wrapped and not across the complete achieve of EA’s customer engagement.

    Multiple mountainous data technologies coexist in many enterprise architectures

    CoexistenceIn many cases, organizations will consume a mix-and-match combination of relational database management systems (RDBMS), Hadoop/MapReduce, R, columnar databases such as HP Vertica or ParAccel, or document-oriented databases. Also, there is growing adoption this year beyond just the monetary services industry and government for tangled event processing (CEP) and related real-time or near-real-time technologies to retract action from web, IT, sensor and other streaming data.

    At the identical time that cost-effective, quickly tools to dissect huge data sets are making data sampling a thing of the past, coexistence is quickly becoming the recent mediocre for mountainous data infrastructure and service architectures. For many enterprises and public sector organizations, the focus is “the perquisite implement for the job” to manage structured, unstructured and semi-relational data from disparate sources. While infrastructure coexistence is hardly recent — one could bicker that it’s as dilapidated as the technology industry itself — what is becoming significantly more commonplace, and hence a “new normal”, is the integration of Hadoop/MapReduce, CEP, “NoSQL”, and other database and data streaming variants as extensions of existing relational-based enterprise data warehouses (EDWs). A few examples:

    The Strata Online Conference, being held April 6, will stare at how information — and the competence to reclaim it to drudgery — will shape tomorrow’s markets. Scheduled speakers include: Gavin Starks from AMEE, Jeff Jonas from IBM, Chris Thorpe from Artfinder, and Ian White from Urban Mapping.

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  • AOL Advertising integrated two data management systems: one optimized for high-throughput data analysis (the “analytics” system), the other for low-latency random access (the “transactional” system). After evaluating alternatives, AOL Advertising combined Cloudera Distribution for Apache Hadoop (CDH) with Membase (now Couchbase). This pairs Hadoop’s capability for handling large, tangled data volumes with Membase’s capability for precipitate for sub-millisecond latency in making optimized decisions for real-time ad placement.
  • At LinkedIn, to power large-scale data computations of more than 100 billion relationships a day and low-latency site serving, they consume a combination of Hadoop to process massive batch workloads, Project Voldemort, for a NoSQL key/value storage engine, and the Azkaban open-source workflow system. Further, they developed a real-time, persistent messaging system named Kafka for log aggregation and activity processing.
  • The Walt Disney Co. Technology Shared Services Group extended its existing data warehouse architecture with a Hadoop cluster to provide an integration mashup for diverse departmental data, most of which is stored separately by Disney’s many trade units and subsidiaries. With a Hadoop cluster that went into production for shared service internal trade units final October, this data can now subsist analyzed for patterns across different but connected customer activities, such as attendance at a theme park, purchases from Disney stores, and viewership of Disney’s cable television programming. (Disney case study summarized from PricewaterhouseCoopers, Technology Forecast, mountainous Data issue, 2010).
  • Centralization and coexistence at eBay

    Even companies whose enterprise architecture more closely aligns with the enterprise data warehouse (EDW) vision associated with Bill Inmon than the federated model popularized by Ralph Kimball are finding themselves migrating their architectures toward greater coexistence to empower trade growth. eBay offers an instructive example.

    “A data mart can’t subsist cheap enough to justify its existence,” says Oliver Ratzesberger, eBay’s senior director of architecture and operations. eBay has migrated to coexistence architecture featuring Teradata as the core EDW, Teradata offshoot named Singularity for behavioral analysis and clickstream semi-relational data, and Hadoop for image processing and abysmal data mining. every three store multiple petabytes of data.

    Named after Ray Kurzweil’s thought-provoking bespeak “The Singularity is Near,” the Singularity system at eBay is running production for managing and analyzing semi-relational data, using the identical Teradata SQL user interfaces that are already widely understood and liked by many eBay staff. eBay’s Hadoop instances noiseless require part management tools, and to date, noiseless arrive with fewer capabilities for workload management than what eBay receives with its Teradata architecture.

    Using this tripartite architecture, on eBay’s consumer online marketplace, there are no static pages. Every page is dynamic, and many if not yet every ads are individualized. These technical innovations at eBay are helping to empower eBay’s corporate resurgence, as highlighted in the March 2011 Harvard trade Review “How eBay Developed a Culture of Experimentation” interview with eBay CEO John Donahoe.

    Coexistence at Bank of America

    Bank of America operates a Teradata data warehouse architecture with Hadoop, R and columnar extensions along with: IBM Cognos trade intelligence, InfoSphere Foundation Tools and InfoSphere DataStage; Tableau reporting; SAP global ERP reporting system; and Cisco telepresence for internal collaboration; among other technologies and systems.

    R-specialist Revolution Analytics cites a Bank of America reference. In it, Mike King, a quantitative analyst at Bank of America, describes how he uses R to write programs for capital adequacy modeling, conclusion systems design and predictive analytics:

    R allows you to retract otherwise overwhelmingly tangled data and view it in such a course that, every of a sudden, the selection becomes more intuitive because you can picture what it looks like. Once you relish that visual image of the data in your mind, it’s easier to pick the most confiscate quantitative techniques.

    While Revolution Analytics is sponsoring a SAS to R Challenge for SAS customers to deem converting to R, coexistence between enterprise-grade software such as SAS and emerging tools such as R, is a more common outcome than a replacement or cutback in the number of current or future SAS licenses, as shown by Bank of America’s recent investment described above in the SAS risk management offering.

    For its part, SAS indicates that SAS/IML Studio (formerly known as SAS Stat Studio) provides one existing capability to interface with the R language. According to Radhika Kulkarni, vice president of advanced analytics at SAS, in a discussion about SAS-R integration on the SAS website: “We are assiduous working on an R interface that can subsist surfaced in the SAS server or via other SAS clients. In the future, users will subsist able to interface with R through the IML procedure.”

    To quote Bob Rodriguez, senior director of statistical development at SAS, from that website discussion: “R is a leading language for developing recent statistical methods. Their recent PhD developers scholarly R in their graduate programs and are quite versed in it.” The SAS article added that: “Both R and SAS are here to stay, and finding ways to get them drudgery better with each other is in the best interests of their customers.”

    Recent evolutions in mountainous data vendors

    As 10gen CEO and co-founder Dwight Merriman and recent President Max Schireson described in a convoke March 8: “There relish been sporadic rebellions against the RDBMS.” Intuit’s diminutive trade division uses document-oriented MongoDB from 10gen for real-time tracking of website user engagement and user activities. Document-oriented CouchDB supporter CouchOne merged with key value store and memcached specialist Membase to contour Couchbase; their customers involve AOL and companionable gaming leader Zynga.

    Customers had asked DataStax (previously named Riptano) for a roadmap for integrated Cassandra and Hadoop management, per an O’Reilly Strata conference discussion with DataStax CEO and co-founder Matt Pfeil and products VP Ben Werther. In March 2011, DataStax announced the Brisk integrated Hadoop, Hive and Cassandra platform, to advocate high-volume, high-velocity websites and tangled event processing, among other applications that require real-time or near-real-time processing. According to DataStax VP of Products Ben Werther in a March 29 email: “Cassandra is at the core of Brisk and eliminates the requisite for HBase because it natively provides low-latency access and everything you’d ensnare in HBase without the complexity.”

    Originating at Facebook and with commercial backing from DataStax, Cassandra is in consume at Cisco, Facebook, Ooyala, Rackspace/Cloudkick, SimpleGeo, Twitter and other organizations that relish large, vigorous data sets. It’s basically a BigTable data model running on an Amazon Dynamo devotion infrastructure. DataStax’s largest Cassandra production cluster has more than 700 nodes. Cloudkick, acquired by Rackspace, offers a helpful discussion of their selection process that led to consume of Cassandra: 4 months with Cassandra, a adore story.

    While EMC/Greenplum and Teradata/Aster Data started with PostgreSQL and moved forward from there, EnterpriseDB has continued to incorporate PostgreSQL updates. EnterpriseDB CEO Ed Boyajian and VP Karen Tegan Padir explained in a convoke final month that while much of the PostgreSQL initial drudgery was to build databases for sophisticated users, EnterpriseDB has done more to better manageability and ease of use, including a 1-click installer for PostgreSQL similar to Red Hat installer for Linux. EnterpriseDB envisions becoming for PostgreSQL what Cloudera has become for Hadoop: an integrated solution provider aimed a commercial, enterprise and public-sector accounts.

    MicroStrategy is one of Cloudera‘s key partners for visualization and collaboration, and Informatica is quickly becoming a sturdy confederate for ETL. To precipitate up what can subsist late transfers in ODBC, Cloudera is pile an optimized version of Sqoop. Flume agents advocate CEP applications, but it’s not a mountainous consume case yet for Hadoop, per a convoke in February with Dr. Amr Awadallah, co-founder and VP of engineering, and marketing VP John Kreisa.

    The following are additional examples of mountainous data integration and coexistence efforts based on phone and in-person discussions with vendor executives in February and March 2011:

  • Adobe acquired data management platform vendor Demdex to integrate with Omniture in the Adobe Online Marketing Suite. Demdex helps advertisers shift dollars and focus from buying content-driven placements to buying specific audiences.
  • Appistry extended its CloudIQ Storage with a Hadoop edition and partnership with Accenture for a Cloud MapReduce offering for private clouds. This joint offering runs MapReduce jobs on top of the Appistry CloudIQ Platform for behind-the-firewall corporate applications.
  • Together with its siblings Cassandra and Project Voldemort, Riak is an Amazon.com Dynamo-inspired database that Comcast, Mozilla and others consume to prototype, test and deploy applications, with commercial advocate and services from Basho Technologies.
  • At CloudScale, CEO Bill McColl and his team offer a platform to embolden developers create applications designed for real-time distributed architectures.
  • Clustrix‘s clustered database system looks devotion a MySQL database “on the wire,” but without MySQL code, to combine key-value stores with relational database functionality, with a focus on online transaction processing (OLTP) applications.
  • Concurrent supports an open source abstraction for MapReduce called Cascading that allows applications to integrate with Hadoop through Java API.
  • Within an enterprise and extending to its SaaS or companionable media data, Coveo offer integrated search tools for finding information quickly. For example, a Coveo user can search Microsoft SharePoint files or pull up data from Salesforce.com every from within her Outlook email browser.
  • Germany-based Exasol added a bulk-loader and increased integration capabilities for SAP clients.
  • Yale’s Daniel Abadi and several of his colleagues unveiled Hadapt to flee great and ad-hoc SQL queries with high velocity on both structured and unstructured data in Hadoop, to commercialize a project that began in the Yale computer science department.
  • IBM Netezza has partnered with R specialist Revolution Analytics to add built-in R capabilities to the IBM Netezza TwinFin Data Warehouse Appliance. While Revolution Analytics has challenged SAS, they espy more of a confederate model with IBM Netezza and IBM SPSS. This may in participate reflect the drudgery career of Revolution Analytics President and CEO Norman Nie; prior to his current role, he co-invented SPSS.
  • Mapr targets speeding up Hadoop/MapReduce through a proprietary replacement for HDFS that can integrate with the repose Apache Hadoop ecosystem. (For a backgrounder on that ecosystem, advert to Meet the mountainous Data Equivalent of the LAMP Stack).
  • MarkLogic offers a purpose-built database using an XML data model for unstructured information for Simon & Schuster, Pearson Education, Boeing, the U.S. Federal Aviation Administration and other customers.
  • Microsoft Dryad offers a programming model to write parallel and distributed programs to scale from a diminutive cluster to a great data center.
  • Pentaho offers an open source BI suite integrating capabilities for ETL, reporting, OLAP analysis, dashboards and data mining.
  • With its SpringSource and Wavemaker acquisitions, VMware is offering and expanding a suite of tools for developers to program applications that retract handicap of virtualized cloud delivery environments. VMware’s cloud application strategy is to empower developers to flee modern applications that participate information with underlying infrastructure to maximize performance, property of service and infrastructure utilization. This extends VMware’s virtualization trade farther up into the software development lifecycle and provides incremental revenue for VMware while VMware positions itself for desktop virtualization to retract off.

    Data in the cloud

    Data in cloudCloud computing and mountainous data technologies overlap. As Judith Hurwitz at Hurwitz & Associates explained in a convoke on February 22: “Amazon has definitely blazed the trail as the pioneer for compute services.” Amazon organize they had extra capacity and started renting it out, but with limited or no service level guarantees, and then from 2006 on invested in dedicated infrastructure to serve external customers for Amazon Web Services (AWS). In general, AWS has competed on pricing and self-service provisioning, which suits start-ups and enterprise departmental needs well, but without many of the more stringent service level agreements (SLAs) sought by corporate IT departments.

    Based on mountainous Table and other Google technologies, Fusion Tables are a service for managing great collections of tabular data in the cloud, as explained in a conversation this month with Dr. Alon Halevy, head of the Structured Data Group at Google Research. You can upload tables of up to 100MB and participate them with collaborators, or get them public. You can apply filters and aggregation to your data, visualize it on maps and other charts, merge data from multiple tables, and export it to the web or csv files. You can access Fusion Tables via a web user interface or API, and Google offers examples to embolden you ensnare started.

    As Judith Hurwitz discussed, the data in the cloud market is starting to bifurcate. Private clouds are advancing the enterprise shared services model with workload management, self-provisioning and other automation of shared services. IBM, Unisys, Microsoft Azure, HP, NaviSite (Time Warner) and others relish begun offering enterprise-grade services. While data in Amazon is pretty portable — most services link with Amazon — many APIs and tools are noiseless specific to one environment, or reflect critical dependencies, e.g., Microsoft Azure basically assumes a .Net infrastructure.

    At the 1000 Genomes Project, medical researchers are benefiting from a cloud architecture to access data for genomics research, including the competence to download a public dataset through Amazon Web Services. For medical researchers on limited budgets, using the cloud capacity for analytics can reclaim investment dollars. However, Amazon pricing can subsist deceptive as CPU hours can add up to quite a lot of money over time. To precipitate data transfers from the cloud, the project participants are using Aspera and its fasp protocol.

    The University of Washington, Monterey Bay Aquarium Research Institute and Microsoft relish collaborated on Project Trident to provide a scientific workflow workbench for oceanography. Trident, implemented with Windows Workflow Foundation, .NET, Silverlight and other Microsoft technologies, allows scientists to explore and visualize oceanographic data in real-time. They can consume Trident to compose, flee and catalog oceanography experiments from any web browser.

    Pervasive DataCloud adds a data services layer to Amazon Web Services for integration and transformation capabilities. An enterprise with multiple CRM systems can synchronize application data from Oracle/Siebel, Salesforce.com and Force.com confederate applications within a Pervasive DataCloud2 process. They can then consume the feeds from that DataCloud process to power executive dashboards or trade analytics. Likewise, an enterprise with Salesforce.com data can consume DataCloud2 to synch with an on-premise relational database, or synch data between Salesforce.com and Intuit QuickBooks accounting software.

    Big data jobs

    All of this activity is welcome tidings for software engineers and other technical staff whose jobs may relish been affected by overseas outsourcing. The monthly Hadoop user group meetups at the Yahoo campus now feature hundreds of attendees and even some job offers: many mountainous data mega vendors and startups are hiring. For example, while Yahoo ended its own distribution of Hadoop, it has some animated drudgery underway with its Cloud Data Platform and Services including job openings there.

    Cloudera counts 85 employees and continues to hire. Cloudera’s Hadoop training courses are consistently sold out, including mountainous claim from public sector organizations; the venture capital arm of the CIA, In-Q-Tel, became a Cloudera investor final month.

    Recognizing mountainous data’s limits

    To temper enthusiasm just a bit, 2011 is also a helpful time for a reality check to reclaim mountainous data into perspective. To profit from mountainous data, many enterprises and public sector organizations requisite to revisit trade processes, decipher data silo challenges, and invest in visualization and collaboration tools to embolden get mountainous data understandable and actionable across an extended organization. Visualization tools are helpful, but only in combination with collaboration tools that enable discussion of data sources, context and implications, and in some cases correction of misleading data, as Paul Miller discusses in an article on GigaOM Pro (subscription or free affliction required).

    Many leaders in managing and benefiting from mountainous data are finding it profitable to hire and develop staff with “T-shaped” skills that combine abysmal technical suffer (the T’s upright line) and wide trade skills (the T’s horizontal line). For example, the phrase a “new normal” in this article’s title refers to sporadic phases in ongoing technology and marketplace trends, not to isolation of statistical error in repeated measured data (normalization from a mathematics perspective) or organization of data to minimize redundancy (normalization from a RDBMS perspective). Staff with T-shaped skills can “talk these different languages” to collaborate productively with colleagues, partners and customers who drudgery in business, technology, statistics and other roles.

    Big data applications such as risk management software will not by themselves prevent the next sub-prime mortgage meltdown or the previous generation’s savings and loan industry crisis. Decision-makers at monetary institutions will requisite to get the perquisite risk decisions, and regulatory oversight such as the recent Basel rules for minimum capital requirements may play an critical role too. And mountainous data raises a number of critical concerns for data privacy and ownership of data.

    For more on mountainous data technology and trade trends, including a longer discussion on mountainous data opportunities and limitations, retract a stare at my recently published Putting mountainous Data to Work: Opportunities for Enterprises report on GigaOM Pro.


  • Container Security Devices and Their Tariff Treatment | killexams.com true questions and Pass4sure dumps

    By MarEx 2011-04-25 11:18:52

    Op Ed by Dr. Jim Giermanski

    Take HTSUS 9803.00.50 and subtract HTSUS 8526.91. Then add 19 U.S.C 1322(a) to 19 U.S.C 1041.a. from which you subtract the sum of the first HTSUS computation.  Now divide HQ044900 by HQ116684.  retract the quotient and multiply it by 10.41a(a)(2) from which you subtract your companionable security number.  Now you know the Mexican Customs treatment of  Container Security Devices (CSDs) used in containers that are Instruments of International Traffic.(1)

    Now that I relish your attention, you should not retract my word only on this theme since I'm not an expert in this area, nor a licensed U.S. Customs Broker.  Instead, I hope the reader uses this analysis as a basis for discussing the tariff treatment of container security devices (CSDs) with Customs officials, a practicing U.S. Customs Broker, or a barrister involved in Customs matters.  In many ways, the issue is quite clear, except in North America. 

    Customs Convention on Containers, 1972

    The definitive international guidance and basis for CBP decisions on this question is provided by the Customs Convention on Containers (CCC) of 1972.  The Customs Convention on Container of 1972, went into outcome in 1975 terminating and replacing the 1956 Container Convention and set recent rules for the treatment of containers affecting in global commerce.  The CCC became the worldwide standard for the Customs treatment of containers by those nations, signing, ratifying, accepting or adhering to it.  Additionally, and without any attention in doing so, the CCC is very specific with respect to signaling the tariff treatment of CSDs well before CSDs were manufactured and utilized.  The obvious rationale for a treaty on containers is for nations to subsist consistent in their definition and treatment of containers as the instruments that merely carry the goods to a nation, not to subsist classified or entered as products themselves into the domestic commerce of that nation to which they merely carry the cargo.Article 1, Section C, of the CCC defines a container:

    the term "container" shall signify an article of transport tackle (lift-van, movable tank or other similar  structure);(i) fully or partially enclosed to constitute a compartment intended for containinggoods;(ii) of a permanent character and accordingly sturdy enough to subsist suitable forrepeated use;(iii) specially designed to facilitate the carriage of goods, by one or more modesof transport, without intermediate reloading;(iv) designed for ready handling, particularly when being transferred from onemode of transport to another;(v) designed to subsist light to fill and to empty; and(vi) having an internal volume of one cubic metre or more;

    It also defines indirectly a CSD which is a participate of the in-bound container:

    the term "container" shall involve the accessories and tackle of the container, confiscate for the character concerned, provided that such accessories and tackle are carried with the container.  The term "container" shall not involve vehicles, accessories or spare parts of vehicles, or packaging.  Demountable bodies, are to subsist treated as containers;... (2)

    Article 10, paragraph 1, also discloses that: Temporary admission shall subsist granted to component parts intended for the repair of temporarily admitted containers (3).   Containers, then, as defined by the CCC are un-motorized holders of substantial cargo.  In the United States containers are specified as Instruments of International Traffic (IIT) by the Department of Homeland Security (DHS) which uses the CCC as its source and basis for this classification.  However, each nation can involve other definitions of containers and noiseless subsist consistent with the CCC.  In fact, the Secretary of the Department of Homeland Security may except the applications of Customs law on ...Lift vans, cargo vans, shipping tanks, skids, pallets, caul board, and cores for textile fabrics... which relish every been ...explicitly classified as Instruments of International Traffic (4).  CSDs, however, although not classified as IITs, can subsist classified as accessories of IIT's.  

    Furthermore, Article 11, of the Customs Convention on Containers  allows products devotion CSDS to subsist admitted separately as a container accessory as long as it is to subsist used on an inbound container or an outbound container in international commerce:

    The Contracting Parties conform to vouchsafe temporary admission to accessories and tackle of temporarily admitted containers, which are either imported with a container to subsist re-exported separately or with another container, or imported separately to subsist re-exported with a container (5).

    CBP cites the CCC in its Headquarter Rulings regarding CSDs as a container accessory.   In the United States, then, there is precedent for the classifying of CSDs for special Customs treatment. Therefore, firms typically query for clarification from CBP through what is known as a binding ruling to protect themselves from subsequent  Customs decisions that would later classify the CSD in a course that would get it dutiable retroactively.  Two such rulings again clarify the confiscate treatment of CSDs in relation to Instruments of International Traffic: the IBM case in 2007, and the Bose Corporation case in 2008. 

    U.S. Government Rulings Regarding IITs

    IBM's attempted to obtain a reconsideration of a CBP conclusion which IBM felt was an inappropriate tariff treatment of its imported Tamper-Resistant Embedded Controller (TREC), which is ...an enhanced container security, monitoring and tracking device which when installed, collects, analyzes and reports data as to the status, condition and location of the container and its contents (6).   Headquarters confirmed the original CBP conclusion that the imported TRECs were theme to declaration and entry filings unless they were attached to and imported as participate of the container which is defined in the CCC as declared in CBP Headquarters Ruling missive 116684 of August 2006.  In short, the Ruling stated that if the container meets the standard as an Instrument of International Traffic, and the TREC is attached to the container as a "container accessory," the device is free from part entry declaration.   However, TRECs are not IITs and importing them for entry into the commerce of the United States would theme them to tariff treatment.

    In the case of Bose in 2008, Bose asked that its PT100-C Tracker using GPS satellite technology and employed in its containers carrying Bose products produced around the world  subsist considered as Instruments of International Traffic and not theme to duties since the PT100-C Tracker was an accessory of a shipping container which is already designated as an Instrument of International Traffic by CCC and DHS Headquarters.  In this case, CBP made it very pellucid that PT 100-C tracking devices constitute accessories or tackle of instruments of international traffic pursuant to 19 C.F.R. § 10.41a(a)(3) and are therefore designated as instruments of international traffic pursuant to 19 C.F.R. § 10.41a(a)1 (7).    However it eminent that CSDs not attached to the container cannot subsist classified as an IIT.   Mexican treatment, however, is noiseless unclear.

    Treatment within the North American Free Trade Agreement(NAFTA)

    With respect to North America, the United States and Canada are original signatories and each ratified this convention, Canada in 1975, and the U.S. in 1984 (8). Mexico has not.  That doesn't signify that Mexico cannot accept or apply CCC standards.  Mexico can if it so chooses.  However, often firms that are now nascence to consume these CSDs are concerned about how Mexican Customs (Aduana) will handle the CSD with respect to tariff classification and duties given that NAFTA generates significant trade.  And that trade volume also suggests linked security questions.   NAFTA  has no reference to tariff treatment of IITs.  In fact, the tariff schedules of the United States, Canada, and Mexico constitute three part volumes of the agreement.  The commonality of Customs process among the three nations is linked to the World Customs Organization standards and to other treaties into which every three nations relish entered.  This means that while the United States and Canada are signatories and ensue the Articles of the Customs Convention on Containers, Mexico has not ratified, or accepted the CCC , Mexico is not compelled to ensue its guidelines.  Therefore, while IITs are treated similarly in both Canada and the United States, they are not treated the identical course by Aduana.

    Attempts relish been made to obtain the official guidelines from Mexico regarding the Customs treatment of IITs without success.  However, opinions from respected Mexican Customs Brokers suggest that IIT tariff treatment is similar.   As long as the CSD is attached to the container for consume as a container monitoring and security accessory, it will not subsist theme to duties.   One Broker's feeling is:

      In theory if the device is attached to the trailer from my perspective IT will not relish to [be] declared independently for it is a participate of the trailer’s security overall devices and thus it is not to subsist used for any other purpose but to bring security to the products contained inside of the cargo bay….if it is by itself then it will relish to subsist declared and potentially pay duties and taxes and I roar potentially for if the importer has a temporary import scheme in station then these duties could subsist evaded...

    Another Mexican Broker's feeling is this:The short of it is that for MX Customs Purposes and the Commercial Cargo, there is no declaration, BUT for MX Customs for the Temporary Bond that the Mx Carrier will post, the GPS tackle will subsist listed on there as participate of the Container/Van.  That course when the trailer is returned to the USA and the bond is cancelled on Mx Export side, the GPS unit will note up and the bond will subsist cancelled with the GPS unit by the MX Carrier with MX Customs. Again, the GPS unit has nothing to carry out with the admissibility of the cargo and the Commercial Invoice Declaration.

    Conclusion

    In many countries in the world, container security devices will not relish to subsist declared or duties paid on their entry when they are used as accessories attached to the container, an Instrument of International Traffic.  However, it appears that Mexico is a limited different.  The CSD is likely to relish to subsist covered by the carrier's, importer's, or Customs Broker's bond and as a temporary entry.  There may even subsist a diminutive cost if it is treated as a temporary entry.  Mexico is simply different.   Because it is, the consume of a very helpful Mexican Customs Broker is essential.

    Postscript

    On December 11, 2010 the draft of this manuscript was sent to the Mexican Embassy for observation or any assistance it could give to resolve this question.  Subsequent telephone conversations with the Embassy resulted in a request that this manuscript would not subsist published until the Embassy had the break to obtain a clarification from Aduana.  With the understanding and concurrence of the Embassy, this writer and the Embassy agreed that this analysis not subsist submitted for publication until the discontinue of January, 2011, giving adequate time for Aduana to publish or get available an official determination.  It appears that the Mexican Embassy did every it could carry out to embolden pellucid up the issue. 

    Despite the cooperation of the Mexican Embassy, as of January 31, 2011, the Embassy was unable, perhaps because of recent leadership in Aduana, to obtain any determination or ruling as to the official Mexican Customs treatment of CSDs. 

    ____

    About the Author

     A former Regents Professor at Texas A&M International University, Dr. Jim Giermanski is now Professor of International trade and Director of Centre for Global Commerce at Belmont Abbey College.  He has been chosen as the International Educator of the Year by the National Association of diminutive trade International Trade Educators and has been appointed to the graduate faculty at the University of North Carolina at Charlotte. In conjunction with the Professional Examination Service (PES) and Bradley University, he is a member of the International rehearse Analysis Committee of the NASBITE task compel to develop a national International Trade Specialist Certificate.  He is also a reviewer for the Transportation Research Board, U.S. National Research Council.  He served as Director of Transportation and Logistics Studies, heart for the Study of Western Hemispheric Trade at Texas A&M International University.

    Dr. Giermanski consults often on international transportation and transportation security, brim logistics, and trade matters involving Mexico.   He has frequently given invited testimony on NAFTA, transportation, and other international trade issues before the U.S. Senate and House, the Texas Senate and House, EPA, and the U.S. International Trade Commission.  He served as the co-chairman of the Texas Transportation Committee of the task compel to prepare for NAFTA, sat for 5 years on the Texas Office of the Attorney General’s Trans-border Trucking International Working Group, and for three years as a member of the Research Advisory Committee on Management and Policy, Technical Advisory Panel, Texas Department of Transportation.   He has been requested to serve as a border expert to assist the Arizona Department of Transportation in developing concepts and practices to better the brim crossing activities on the Arizona Mexico border, and at the request of the White House, Council of Economic Advisors, he provided information on trade issues and barriers on the southern border.

    He has authored over 100 articles, books, and monographs and has given over 100 presentations.  He has been published extensively on transportation and trade issues and for five years wrote the International Insight column in Logistics Management.  In addition to his scholarly writing, he has been published in the Journal of Commerce, El Financiero, Traffic World, Strategic Finance, Transport Topics and most recently, Tax Notes International.  He has been interviewed by and quoted in over 50 national and international publications such as the Wall Street Journal, the recent York Times, Forbes, the Financial Times, Christian Science Monitor, and has appeared nationally as a special guest on the FOX News Channel’s Special Report with Brit Hume, CNN, NBC, CBS, NPR, BBC, Voice of America and the Canadian Broadcasting Corporation in addition to many local and regional affiliates.

    Finally, with his background as a former FBI special agent, OSI special agent and a Colonel in the Office of Special Investigations where he handled counterintelligence matters, Dr. Giermanski is Chairman of the Board of Powers International, Inc. which provides supply-chain security solutions, consulting, and training.  He currently provides transportation security lectures on C-TPAT, and other Customs and brim Protection (CBP) programs.

    Dr. Giermanski has a Masters degree from the University of North Carolina in Charlotte, a Masters from Florida International University, and a Doctorate from the University of Miami.  He is a graduate of Air Command and Staff College, and The Air War College while also serving as a visiting scholar at the heart of Aerospace Doctrine, Research, and Education, an Air compel mediate tank.

    Citations:

    (1) Dr. Jim Giermanski, furtive Formula for Solving the Tariff Treatment of Container Security Devices Used by Aduana, December, 2010

    (2) Customs Convention on Containers, 1972, Customs Cooperation Council, United Nations/International Maritime Organization, Geneva, December 2, 1072, p.4.

    (3) Customs Convention on Containers, 1972, p. 7.

    (4) HQ H044900, December 18, 2008 BOR-4-07OT:RR:BSTC:CCI H044900, p. 1.

    (5) Customs Convention on Containers, 1972, p.8.

    (6) HQ H005096, March 12, 2007 BOR-4-07-RR:BSTC:CCI H005096, p....


    Steven L. Smith | killexams.com true questions and Pass4sure dumps

    Steven L. SmithNASA BIOGRAPHYPosted: April 2, 2002

    PERSONAL DATA: Born December 30, 1958, in Phoenix, Arizona, but considers San Jose, California, to subsist his hometown. Married. He enjoys flying, scuba diving, basketball, camping, and traveling.

    EDUCATION: Graduated from Leland high School, San Jose, California, in 1977; received a bachelor of science degree in electrical in 1981; a master of science degree in electrical engineering in 1982; and a master's degree in trade administration in 1987. every three degrees are from Stanford University.

    SPECIAL HONORS: NASA Outstanding Leadership Medal, NASA Space Flight Medal, NASA Exceptional Service Medal, IBM Outstanding Technical Achievement Award, IBM Outstanding Community Service Award. Seven-time high school and collegiate All-American in swimming and water polo. Two-time National Collegiate Athletic Association (NCAA) Champion at Stanford in water polo. Captain of the 1980 NCAA Championship team. Board Member of Texas Special Olympics.

    EXPERIENCE: Steve Smith worked for IBM in the great Scale Integration (semiconductor) Technology Group in San Jose as a technical group lead from 1982 until 1985. During that time, he was answerable for the development of electron beam chemical and lithographic processes. Following a leave to pursue graduate studies, Smith returned to IBM's Hardware and Systems Management Group as a product manager until 1989.

    NASA EXPERIENCE: Steve Smith is a veteran of three space flights covering 12 million miles and five space walks totaling 35 hours. He joined NASA in 1989 in the Mission Operations Directorate. As a payload officer, his duties included preflight payload integration and real-time flight controller advocate in Mission Control. He was selected as an astronaut candidate by NASA in 1992 and then completed one year of astronaut candidate training.

    In September 1993, Smith became the first member of the 1992 astronaut class to receive a flight assignment. He has served as the Astronaut Office representative for the Space Shuttle main engines, the solid rocket boosters, the external tank, and Shuttle safety. Smith was also assigned to duties at the Kennedy Space heart for a year and a half as a member of the astronaut advocate team. The team was answerable for Space Shuttle prelaunch vehicle checkout, crew ingress and strap-in prior to launch, and crew egress post landing. Most recently, he served as the Deputy Chief Astronaut for a year.

    Smith served as a mission specialist aboard the Space Shuttle Endeavour on Mission STS-68 in September 1994. Smith's responsibilities were split between Shuttle systems and Space Radar Lab 2 (SRL-2, the flight's primary payload). Smith was one of two crewmen trained to execute a space walk had one been required. Endeavour circled Earth 183 times and traveled 4.7 million miles during the 11 day, 5 hour and 46 minute flight.

    Smith performed three space walks as a member of the February 1997 STS-82 Discovery crew which serviced the Hubble Space Telescope (HST). The crew completed five space walks in order to dramatically better the scientific capability of the telescope and to supplant degraded advocate equipment. HST's orbit was also increased 8 miles by the crew. The flight orbited the Earth 150 times covering 4.1 million miles in 9 days, 23 hours, 37 minutes and Smith's three space walks totaled 19 hours.

    Smith was the Payload Commander for STS-103 in December 1999, the Hubble Space Telescope 3A Servicing Mission. The crew performed three space walks to recrudesce Hubble to science operations with several upgraded subsystems. Smith performed two space walks totaling 16 hours and 20 minutes. STS-103 orbited the Earth 120 times covering 3.2 million miles in just under 8 days.

    Steve Smith is currently assigned to the EVA crew of STS-110, a 10-day mission to the International Space Station. Launch is scheduled for Spring 2002.



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