IBM IBM InfoSphere Optim for

IBM facts Studio | killexams.com real Questions and Pass4sure dumps

This chapter is from the booklet 

IBM data Studio is protected in every DB2 version. IBM statistics Studio gives a solitary integrated atmosphere for database administration and utility development. you could perform initiatives that are related to database modeling and design, developing database functions, administering and managing databases, tuning SQL efficiency, and monitoring databases multi functional solitary tool. it's a fantastic utensil that may tremendously improvement a crew environment with diverse roles and duties.

IBM facts Studio is available in three favors: complete customer, administration customer, and web console.

the entire client contains both the database administrative and the application pile capabilities. The pile environment is Eclipse-based. This presents a collaborative pile environment via integrating with different superior Eclipse-primarily based tools reminiscent of InfoSphere facts Architect and InfoSphere Optim pureQuery Runtime. note that one of the most superior InfoSphere tackle are only included in the DB2 superior variants and the DB2 Developer edition. you can too one by one buy the superior tools.

The administration client is a subset of the total client. It soundless gives a wide array of database administrative functionality reminiscent of DB2 sample administration, object management, statistics administration, and query tuning. primary utility construction projects akin to SQL Builder, query formatting, visible clarify, debugging, modifying, and running DB2 routines are supported. expend the complete client for superior software progress elements.

The net console, as the name implies, it is an internet-primarily based browser interface that offers health monitoring, job management, and connection administration.

IBM records Studio Workspace and the project Launcher

if you stand successfully installed the IBM data Studio, you are requested to deliver a workspace name. A workspace is a folder that saves your toil and projects. It refers back to the computer progress environment, which is an Eclipse-primarily based thought.

assignment Launcher is displayed, which highlights right here class of initiatives:

Design

enhance

Administer

Tune

computer screen

each class is described in additional aspect in its own tab. click any tab, and too you discern the famous thing and primary initiatives listed in the box on the left. discern pattern 4.26 to score a concept on the course to navigate the assignment Launcher.

for instance, the pattern shows you the forward tasks. that you would breathe able to find the key progress tasks on the left. On the sincere right, it lists extra initiatives involving building. On the bottom right, IBM records Studio provides a number of documentation hyperlinks the set which you could study extra about construction. the set appropriate, it too suggests the superior tackle accessible within the InfoSphere Optim portfolio that apply to the project you stand got chosen.

Connection Profiles

each project you had been to operate in opposition t a database requires to first establish a database connection. To hook up with a database from IBM information Studio, open the Database Administration perspective. On the exact right corner, click the Open viewpoint icon and select Database Administration.

On the Administration Explorer, right-click the white house or beneath the brand new menu, opt for New Connection to a database. From the brand new Connection window, you discern that you can expend the IBM statistics Studio to connect to diverse IBM facts sources, in addition to non-IBM information sources. choose the database manager and enter the critical connection parameters. pattern 4.28 indicates an illustration.

figure four.27 Open the Database Administration point of view

Pull down the JDBC driver drop-down menu, and you'll select the type of JDBC driver to perform expend of. JDBC type 4 driver is used by using default.

Use the verify Connection button to ensure the connection assistance you enter is legitimate. click finish.

At this aspect, you stand created a connection profile. Connection profiles accommodate tips about the course to hook up with a database similar to indicating the category of authentication to breathe used when connecting the database, specifying default schema, and configuring tracing alternate options. other crew individuals can import the connection profiles to their own IBM statistics Studio and breathe able to installation a group of consistent connection settings.

To update the connection profile, appropriate-click on the database and choose residences. houses for the database are displayed as proven in pattern four.29.

general Database Administration equipment

There are few other useful administration projects purchasable in the menu illustrated in determine four.29.

The control Connection feature enables you to rename the connection profile, delete the connection profile, trade the user identification and password, and reproduction the profile. The returned Up and repair characteristic allows you to setup a database or table area backups. within the acceptable editor, that you would breathe able to specify the classification of backup, region of the backup images, and performance options for the backup. Database backup and restoration is mentioned in Chapter 10, “maintaining, Backing Up, and recovering facts.”

The install and Configure characteristic permits you to configure the database. Database configuration and this IBM information Studio duty are covered in aspect in Chapter 5. note from the menu, which you can launch the Configure computerized protection editor. DB2 offers automated maintenance capabilities for performing database backups, reorganizing tables and indexes, and updating the database information as vital. The editor allows you customise the automatic renovation policy (see determine four.30).

determine 4.30 opt for the automatic protection policy alternate options

The control Database duty allows you to surge and halt the database. In DB2, that skill activating and deactivating the database. Activating a database allocates complete the imperative database memory and features or techniques required. Deactivating a database releases the memory and prevents DB2 features and processes.

The video panoply characteristic launches the IBM facts Studio internet Console. consult with the part, “IBM statistics Studio internet Console,” for introduction of the tool.

The Generate DDL duty makes expend of the DB2 command-primarily based utensil db2look to extract the records Definition Language (DDL) statements for the recognized database objects or the entire database. This feature and power arrive effortless if you want to mimic a database, a collection of database objects, or the database data to another database. as a result of the Generate DDL duty in IBM records Studio or the DB2 command db2look, you acquire a DDL script. The script carries statements to re-create the database objects you've got chosen. discern determine four.31 for a reference of the styles of statements that you would breathe able to generate using the IBM information Studio.

determine 4.31 Generate DDL characteristic within the IBM facts Studio

For finished options for the DB2 command db2look, contend with the DB2 information middle.

The start Tuning characteristic configures the database to enable query tuning. You might obtain a warning indicating that you should activate the InfoSphere Optim question Workload Tuner (OQWT) license for superior tuning capacity. celebrate that IBM DB2 advanced enterprise Server version comes with OQWT. comply with the directions to celebrate the product license or click on yes to configure the database server for tuning with the aspects complementary within the IBM records Studio.

When the database is configured to perform expend of the tuning advisors and tools, you are presented with the query Tuner Workflow Assistant, as shown in determine four.32.

From the question Tuner Workflow Assistant, you can attain a statement from numerous sources and tune the commentary. within the entrap view, it offers you a list of sources where that you can capture the statements. pattern 4.33 indicates an instance on capturing the SQL statements from the kit Cache. This sample captures over a hundred statements. appropriate-click on the statement through which you stand an interest and select demonstrate SQL statement or elope Single-question Advisors and tools on the chosen observation.

Run the question advisors and tools on the selected remark. you can now enter the Invoke view. The device collects suggestions and facts and generates an information entry blueprint (see determine 4.34).

When the question tuning activities are finished, you are brought to the evaluation view. It presents you the evaluation effects and an consultant recommendation, such as the one shown in pattern four.35. The utensil documentation recommends gathering and re-accumulating complete of crucial facts of the question.

you could too review the access blueprint graph generated by the DB2 clarify duty (see determine 4.36 for an example). breathe sensible to store the analysis for future references and evaluate them if necessary.

The control Privileges duty means that you can supply database privileges to the users. contend with Chapter 8, “implementing security,” for particulars about privileges and database entry controls.

ordinary Database construction tools

IBM records Studio consolidates the database administration and database progress capabilities. From the assignment Launcher – increase, you locate a list of key construction projects corresponding to developing and working SQL statements, debugging saved methods, and consumer-defined capabilities (UDFs). each and every project brings you to a device that helps you accomplish it.

SQL and XQuery Editor

The SQL and XQuery editor helps you create and elope SQL scripts that accommodate more than one SQL and XQuery statements. To launch the editor, open the facts mission Explorer; below SQL Scripts choose New > SQL or XQuery Script. As shown in pattern four.37, a sample SQL script is entered. that you could configure the elope alternatives for the script.

The editor codecs the SQL statements properly and provides syntax highlights for less demanding studying as you enter the SQL statements. The functionality content abet is too very effective. It lists complete of the current schemas within the database so for you to simply opt for one from the drop-down menu. The editor too parses the commentary and validates the observation syntax. you can validate the syntax in scripts with distinctive database parsers and elope scripts towards diverse database connections.

SQL query Builder

The SQL query Builder allows for you to create a solitary SQL observation, but it doesn't uphold XQuery. because the name implies, the device helps you build an SQL statement. It helps you look to breathe on the underlying database schema or construct an expression, as proven in determine four.38.

Database Routines Editor and Debugger

kept processes and user-described services (UDFs) are database software objects that encapsulate utility common sense at the database server rather than in software-stage code. expend of application objects uphold in the reduction of overhead of SQL statements and the consequences that are handed during the community. kept strategies and UDFs are too known as routines. IBM facts Studio helps routines progress and debugging.

From the facts project Explorer, create a new statistics construction challenge. within the project, that you can create quite a lot of styles of database utility objects similar to saved procedures and UDFs (see pattern 4.39). To debug a routine, correct-click the movements and choose Debug.

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IBM focuses on counsel Governance with New utility, capabilities | killexams.com real Questions and Pass4sure dumps

IBM final week introduced two new items aimed at assisting companies ensure that guidelines and policies related to entry to counsel are enforced. each items, Optim statistics Redaction and IBM InfoSphere enterprise assistance computer screen, will develop into available in March. InfoSphere most effective will swirl into attainable to a choose neighborhood of customers. IBM additionally introduced new features and a new core of Excellence dedicated to information governance.

New regulations, such because the lately bolstered HIPAA and the hi-Tech Act, are inserting more advantageous restraints on how groups–specially organizations within the healthcare enterprise–manage dainty facts. IBM has moved aggressively to fulfill these new requirements in the course of the construction of recent products, just relish the new Optim and InfoSphere tools, and acquisitions, equivalent to final week’s announced acquisition of initiate, a developer of information integrity utility for companies within the healthcare and executive industries.

Optim records Redaction is the latest product to breathe fraction of the Optim family unit of equipment, which IBM bought via its 2007 acquisition of Princeton Softech. The application is designed to immediately admire and win away dainty content material from documents and forms. The utility could breathe used by using a pecuniary institution, as an example, to camouflage a consumer’s credit scores in a personal loan document from an office clerk, whereas allowing it to breathe viewed by a personal loan officer, according to IBM.

It’s not limpid whether Optim information Redaction will toil at once with DB2/400; IBM didn't allege and details of the product are not yet accessible. If it’s relish other Optim products, such because the archiving and test administration software for JD Edwards EnterpriseOne that toil with DB2/four hundred and i/OS only through “toleration support”, then it’s questionable a gadget i shop would requisite to jump during the hoops to expend it, except they stand got loads of different records to protect on Unix, windows, Linux, and mainframe methods.

IBM observed that the upcoming InfoSphere company panoply screen product would toil with complete DB2 facts, together with, presumably, DB2/400 (which IBM formally calls DB2 for i), in addition to other principal DBMSes, enterprise intelligence systems, and ERP systems. The software is designed to alert directors when surprising breaks within the movement of statistics raise the likelihood of mistake establishing within the data.

IBM gives the illustration of a medical insurance industry that is inspecting earnings margins across different product strains and geographies. If the statistics feed from one fraction of the realm did not perform it into the aggregated database used for analysis, InfoSphere company computer screen would alert the administrator to the issue, and steps can breathe taken to fix it.

IBM says InfoSphere company monitor is based mostly partly on expertise developed with the aid of Guardium, a database protection application enterprise that IBM obtained final fall. Guardium’s products received DB2/400 aid closing spring.

large Blue’s international features unit additionally introduced the basis of a brand new corporation committed to assisting customers with their information governance needs. referred to as the IBM international industry services’ assistance Governance seat of Excellence (COE), the organization should breathe in a position to faucet greater than 250 IBM execs with capabilities within the design, construction, and deployment of information governance tasks.

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IBM InfoSphere Optim for Distributed Systems - V7.3.1

How Hadoop Keeps Even minute Businesses In the Loop for tall Data Analytics | killexams.com real questions and Pass4sure dumps

Hadoop is a software system developed by Apache that allows a company’s data science team to process for analytical purposes large sets of data that are located on distributed servers.  The software framework is mainly used by those companies that want the capability of extracting unstructured data to improve things relish industry performance and customer relationship management.  This unstructured data is known in the industry as tall data.  Every company that conducts physical and electronic transactions has access to tall data, but it was not until recently that corporate leaders began to fully recognize tall data’s potential to abet them to forecast trends needed to improve competitive advantage.  large businesses were at an advantage because they could purchase specialized hardware and hire the human resources that are needed to prepare the diverse data for analysis.  Convenient features relish outdo reporting in Hadoop allow minute businesses to harness the power of tall data analytics as even non-technical users are able to access large data sets from inexpensive, off the shelf servers for data analysis projects.  Here are some other reasons why Hadoop is considered a leading utensil for corporate data science teams.

Use Hadoop With Leading Storage TechnologyHadoop has leveled the playing territory for companies that want to effectively expend tall data to optimize their industry processes.  For example, many medical companies collecting genetic data for advanced personalized medicine initially lacked the storage capacity needed for effective tall data analysis.  Today, businesses of varying sizes expend cloud storage options to expand their storage capabilities, and one of the most celebrated brands is Google Cloud Storage.  The value of Hadoop is well known in the information technology industry, and Google has responded by pile a custom connector that integrates Google Cloud Storage with Hadoop.  Additionally, providers of storage area network and virtualization storage options stand plans to integrate their products and services with Apache’s Hadoop.

Tighten Up tall Data Security Using Third Party Tools and Add-OnsData security remains a tart button issue for many companies, non profit organizations and government agencies.  It seems that no organization is immune to attacks by hackers who want to pilfer information or debauch the integrity of stored data.  As a result, many businesses are forced to pay fines or legal reparations for not adequately protecting the information entrusted to them, and other businesses suffer productivity losses.  The storage and processing of tall data by numerous companies just opens up a new path for cyber criminals because they stand greater amounts of unsecured data to exploit.  Hadoop was not originally built with security mechanisms in place, but third party tools relish IBM InfoSphere Optim Data Masking, Cloudera Sentry and DataStax Enterprise stand incorporated authentication and data privacy features into their versions of Hadoop.  Many of these tools provide for the authentication of Hadoop processes, services and users; they too allow for the encryption of the Hadoop file system and data access blocking.  Maintenance and customer uphold are additional benefits of purchasing these distributed, third party versions of Hadoop versus using the free, original Apache product.

Improve tall Data Processing Through Hadoop Integration With celebrated IT System BrandsA considerable advantage of using Hadoop over other industry intelligence software is the capability that it provides to developers and analysts to quickly extract and process large groupings of data.  The efficiency of processing is topic on many factors including the location of the data and the server platform used.  Many businesses dependence Microsoft’s brand and stand outfitted their organization with the company’s servers, operating system and application software.  Although Microsoft’s products stand been known not to breathe compatible with competing software systems,  the computing giant has taken considerable strides to update their flagship MS SQL Server product so that it and its Parallel Data Warehouse utility connects with Hadoop.  Microsoft Office applications relish outdo stand too been updated to integrate with the Apache product; this functionality allows Hadoop users to import data analysis output into a spreadsheet format.  The distributed version of Hadoop that is used by IBM’s InfoSphere BigInsights system too allows Hadoop users to view, analyze, graph and update data from multiple sources using a web based spreadsheet; IBM’s blueprint was to perform their version of Hadoop the preferred one for industry users. The fact that Hadoop can breathe implemented on these many platforms, and the many resources available to those learning it for the first time, perform it the pattern product to use.

Modify Hadoop To Extend FunctionalityAlthough the progress team for the original Apache Hadoop software positively responds to the user community with value added updates, many businesses want to customize the open source software to quickly meet their organization’s’ unique needs.  Hadoop is Java based, but developers enact not stand to breathe Java programming experts to perform modifications to the software framework. Database developers can expend SQL similar scripting languages relish Hive and Pig that are exclusively associated with Hadoop to add structure to data sets and import value added customizations into Hadoop.

Author: Lindsey Patterson

Lindsey Patterson is a freelance writer and entrepreneur who specializes in industry technology, employee appreciation, and management. She loves music, poetry, and researching the latest trends.… View full profile ›

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Hadoop and Data Security lunge Forward | killexams.com real questions and Pass4sure dumps

Mar 27, 2014

Geoff Keston

Big data has quickly become a transformative force, and it has even emerged as a consumer buzzword. Behind the scenes, much of the toil is done by Hadoop. Created and maintained by which splits data across many servers, simplifying the management of large volumes. Hadoop too assists with the processing of the data using a program called MapReduce.

Is a Focus on Hadoop Security Overdue?

The popularity of Hadoop has risen as lickety-split as has tall data, with heavyweights such as eBay, Facebook, IBM, and Netflix using it for critical aspects of their businesses.1 But Hadoop has vaulted to prominence faster than its security has matured.

“It is a well-known fact that security was not a factor when Hadoop was initially developed,” says Kevin T. Smith of tall data company Novetta. “As the initial expend cases of Hadoop revolved around managing large amounts of public web data, confidentiality was not an issue. For Hadoop's initial purposes, it was always assumed that clusters would consist of cooperating, trusted machines used by trusted users in a trusted environment."2

The requisite for better Hadoop security is widely acknowledged, and a variety of organizations from different corners of the industry are working to fix the problem. As Smith notes, there are a gain of new commercial products: "Cloudera Sentry, IBM InfoSphere Optim Data Masking, Intel's secure Hadoop distribution, DataStax Enterprise, DataGuise for Hadoop, Protegrity tall Data Protector for Hadoop, Revelytix Loom, Zettaset Secure Data Warehouse, and the list could fade on," he says. And there are open source efforts, including Apache's Accumulo and Knox Gateway. 

One of the most significant third party efforts is Intel's Project Rhino, which aims to abet Hadoop better protect confidential data. According to Intel, the project's key goals are the following:

"Framework uphold for encryption and key management

"Common authorization engine for the Hadoop framework

"Token-based authentication and solitary sign-on

"Granular access control in HBase

"Enhanced Auditing"3

Hadoop Presents a involved Security Challenge

Hadoop is not a turnkey product for launching a tall data program. Assembling the pieces requires specialized knowledge and customized programming work. These modules, as defined by Apache itself, are

"Hadoop Common: The common utilities that uphold the other Hadoop modules.

"Hadoop Distributed File System (HDFS): A distributed file system that provides high-throughput access to application data.

"Hadoop YARN: A framework for job scheduling and cluster resource management.

"Hadoop MapReduce: A YARN-based system for parallel processing of large data sets."4

But these modules are only fraction of Hadoop's "ecosystem," to borrow a term from Novetta’s Smith. Apache itself offers other tools that supplement Hadoop by providing needed capabilities. These tools include colorfully named software like Hive, Pig, and ZooKeeper. And third parties such as IBM, Microsoft, Oracle, and SAP are further expanding this ecosystem, notes Tony Baer, a tall data analyst at Ovum.

The complexity and constantly changing nature of Hadoop's ecosystem perform it difficult to secure.

Approach tall Data and Hadoop Cautiously

Even as tall data and Hadoop are delivering significant benefits to major companies, they are soundless creating confusion. And this confusion is not just about how they work, but too about what their benefits are. In an article titled "Security Is the Least of Hadoop's Concerns" Matt Asay summarizes the result of a Gartner webinar this way: "Hadoop's biggest roadblock may well breathe that people can't pattern out what they're supposititious to enact with it."5 

The point is that until an organization makes the industry case for it to expend tall data and Hadoop, technical questions about security can wait. Organizations can too consider other ways to perform the functions for which Hadoop is used. 

Big Data Initiatives requisite Strategic Governance

Big data primarily aims to provide industry intelligence. It is not a tactical approach used by IT. Therefore, it is famous for executives to govern tall data programs, providing core strategic guidance. "You can't enact tall data without [information integration and governance]," says Michele Goetz, a senior analyst at Forrester Research.6 "When they looked at organizations that are embarking on tall data or complete force into it, their governance levels are so much more mature."

Hadoop and other tall data technologies are extremely involved and specialized, and making them toil securely entails stitching together many pieces. An organization that wants to set up a tall data program would breathe sapient to score abet -- not just for setting up Hadoop, but for every aspect of ensuring tall Data security.

Follow Developments in Filling Hadoop Security Gaps

The considerable potential of tall data is spurring the industry to quickly fill Hadoop's security gaps. To hold pace with these developments, organizations must hold a immediate watch on the new tools and practices being deployed. In particular, as tall data uses an increasing amount of users' personal information, people will expect companies to adhere to the latest and best available standards for protecting confidentiality.

References1 Van Manen, T. "Expert Talk: Anjul Bhambhri (IBM) on tall Data Paradigm Shifts, Hadoop and Transforming Data." Sogeti. June 2012.2 Smith, K. T. "Big Data Security: The Evolution of Hadoop's Security Model." InfoQ. August 2013.3 Intel. "Support and Contributions to the Apache Hadoop Community." Available online from: http://hadoop.intel.com/community.4 Apache. "Welcome to Apache Hadoop." March 2014.5 Asay, M. "Security Is the Least of Hadoop's Concerns." readwrite. January 2014.6 Goetz, M. "You Can't enact tall Data Without Information Integration and Governance" (video). IBM.

About the Author

Geoff Keston is the author of more than 250 articles that abet organizations find opportunities in industry trends and technology. He too works directly with clients to develop communications strategies that improve processes and customer relationships. Keston has worked as a project manager for a major technology consulting and services company and is a Microsoft Certified Systems Engineer and a Certified Novell Administrator.

This article is based on a comprehensive report published by Faulkner Information Services, a division of Information Today, Inc., that provides a wide gain of reports in the IT, telecommunications, and security fields. For more information, visit www.faulkner.com. 

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Top 10 IBM Information Management Trends | killexams.com real questions and Pass4sure dumps

Julian Stuhler shares his pick of the most famous current trends in the world of IBM Information Management. Some are completely new and some are evolutions of existing technologies, and he's betting that every one of them will stand some sort of impact on data management professionals during the next 12-18 months.

Introduction

The Greek philosopher Heraclitus is credited with the aphorism "Nothing endures but change". Two millennia later those words soundless ring true, and nowhere more so than within the IT industry. Each year brings exciting new technologies, concepts and buzzwords for us to assimilate. Here is my pick of the most famous current trends in the world of IBM Information Management. Some are completely new and some are evolutions of existing technologies, but I'm betting that every one of them will stand some sort of impact on data management professionals during the next 12-18 months.

1. animated on a Smarter Planet

You don't stand to breathe an IT professional to discern that the world around us is getting smarter. Let's just win a search for at a few examples from the world of motoring: we've become used to their in-car GPS systems giving us real-time traffic updates, signs outside car parks telling us exactly how many spaces are free, and even the cars themselves being smart enough to brake individual wheels in order to control a developing skid. complete of these perform their lives easier and safer by using real-time data to perform smart decisions.

However, complete of this is just the beginning: everywhere you search for the world is getting more "instrumented", and clever technologies are being adopted to expend the real-time data to perform things safer, quicker and greener. Smart electricity meters in homes are giving consumers the competence to monitor their energy usage in real time and perform informed decisions on how they expend it, resulting in an average reduction of 10% in a recent US study. Sophisticated traffic management systems in their cities are reducing congestion and improving fuel efficiency, with an estimated reduction in journey delays of 700,000 hours in another study covering 439 cities around the world.

All of this has some obvious implications for the volume of data their systems will stand to manage (see trend #2 below) but the IT impact goes a lot deeper than that. The very infrastructure that they elope their IT systems on is too getting smarter. Virtualization technologies allow server images to breathe created on claim as capacity increases, and just as easily torn down again when the claim reduces. More extensive instrumentation and smarter analysis allows the peaks and troughs in claim to breathe more accurately measured and predicted so that capacity can breathe dynamically adjusted to cope. With up to 85% of server capacity typically sitting idle on distributed platforms, the competence to virtualize and consolidate multiple physical servers can rescue an tremendous amount of power, money and valuable IT seat floor space.

If you live in the mainframe space, virtualization is an established technology that you've been working with for many years. If not, this might breathe a new course of thinking about your server environment. Either way, most of us will breathe managing their databases on virtual servers running on a more dynamic infrastructure in the near future.

2. The Information Explosion

As IT becomes ever more prevalent in nearly every aspect of their lives, the amount of data generated and stored continues to grow at an astounding rate. According to IBM, worldwide data volumes are currently doubling every two years. IDC estimates that 45GB of data currently exists for each person on the planet: that's a mind-blowing 281 billion gigabytes in total. While a mere 5 percent of that data will halt up on enterprise data servers, it is forecast to grow at a staggering 60 percent per year, resulting in 14 exabytes of corporate data by 2011.

Major industry trends such as the lunge towards packaged ERP and CRM applications, increased regulatory and audit requirements, investment in advanced analytics and major company mergers and acquisitions are complete contributing to this explosion of data, and the lunge towards instrumenting their planet (see trend #1 above) is only going to perform things worse.

As the custodians of the world's corporate data, they are at the acute halt of this particular trend. We're being forced to score more inventive with database partitioning schemes to reduce the performance and operational impact of increased data volumes. Archiving strategies, usually an afterthought for many new applications, are becoming increasingly important. The lunge to a 64-bit memory model on complete major computing platforms allows us to design their systems to hold much more data in memory rather than on disk, further reducing the performance impact. As volumes continue to multiply and new types of data such as XML and geospatial information are integrated into their corporate data stores (see trend #5), we'll stand to score even more inventive.

3. Hardware Assist

OK, so this is not a new trend: some of the earliest desktop PCs had the option to suitable coprocessors to accelerate up floating point arithmetic, and the mainframe has used many types of supplementary hardware over the years to boost specific functions such as sort and encryption. However, expend of special hardware is becoming ever more famous on complete of the major computing platforms.

In 2004, IBM introduced the zAAP (System z Application Assist Processor), a special type of processor aimed at Java workloads running under z/OS. Two years later, it introduced the zIIP (System z Integrated Information Processor) which was designed to offload specific types of data and transaction processing workloads for industry intelligence, ERP and CRM, and network encryption. In both cases, toil can breathe offloaded from the general-purpose processors to improve overall capacity and significantly reduce running costs (as most mainframe customers pay according to how much CPU they char on their general-purpose processors). These "specialty coprocessors" stand been a critical factor in keeping the mainframe cost-competitive with other platforms, and allow IBM to easily tweak the overall TCO proposition for the System z platform. IBM has previewed its Smart Analytics Optimizer blade for System z (see trend #9) and is about to release details of the next generation of mainframe servers: they can expect the theme of workload optimization through dedicated hardware to continue.

On the distributed computing platform, things stand taken a different turn. The GPU (graphics processing unit), previously only of interest to CAD designers and hard-core gamers, is gradually establishing itself as a formidable computing platform in its own right. The capability to elope hundreds or thousands of parallel processes is proving valuable for complete sorts of applications, and a new movement called CPGPU (General-Purpose computation on Graphics Processing Units) is rapidly gaining ground. It is very early days, but many database operations (including joins, sorting, data visualization and spatial data access) stand already been proven and the mainframe database vendors won't breathe far behind.

4. Versioned/Temporal Data

As the major relational database technologies continue to mature, it's getting more and more difficult to distinguish between them on the basis of pure functionality. In that benign of environment, it's a real treat when a vendor comes up with a major new feature, which is both fundamentally new and immediately useful. The temporal data capabilities being delivered as fraction of DB2 10 for z/OS qualify on both counts.

Many IT systems requisite to hold some shape of historical information in addition to the current status for a given industry object. For example, a pecuniary institution may requisite to retain the previous addresses of a customer as well as the one they are currently animated at, and know what address applied at any given time. Previously, this would stand required the DBA and application developers to spend valuable time creating the code and database design to uphold the historical perspective, while minimizing any performance impact.

The new temporal data uphold in DB2 10 for z/OS provides this functionality as fraction of the core database engine. complete you requisite to enact is witness which tables/columns require temporal support, and DB2 will automatically maintain the history whenever an update is made to the data. Elegant SQL uphold allows the developer to query the database with an "as of" date, which will return the information that was current at the specified time.

With the ongoing focus on improving productivity and reducing time-to-market for key new IT systems, you can expect other databases (both IBM and non-IBM) to implement this feature sooner rather than later.

5. The surge of XML and Spatial Data

Most relational databases stand been able to store "unstructured" data such as photographs and scanned images for a while now, in the shape of BLOBS (Binary large OBjects). This has proven useful in some situations, but most businesses expend specialized applications such as IBM Content Manager to maneuver this information more effectively than a general-purpose database. These benign of applications typically enact not stand to perform any significant processing on the BLOB itself - they merely store and retrieve it according to externally defined index metadata.

In contrast, there are some kinds of non-traditional data that requisite to breathe fully understood by the database system so that it can breathe integrated with structured data and queried using the complete power of SQL. The two most powerful examples of this are XML and spatial data, supported as special data types within the latest versions of both DB2 for z/OS and DB2 for LUW.

More and more organizations are coming to depend on some shape of XML as the primary means of data interchange, both internally between applications and externally when communicating with third-parties. As the volume of critical XML industry documents increases, so too does the requisite to properly store and retrieve those documents alongside other industry information. DB2's pureXML feature allows XML documents to breathe stored natively in a specially designed XML data store, which sits alongside the traditional relational engine. This is not a new feature any more, but the trend I've observed is that more organizations are surge to actually perform expend of pureXML within their systems. The competence to offload some XML parsing toil to a zAAP coprocessor (see trend #3) is certainly helping.

Nearly complete of their existing applications accommodate a wealth of spatial data (customer addresses, supplier locations, store locations, etc): the worry is we're unable to expend it properly as it's in the shape of simple text fields. The spatial abilities within DB2 allow that data to breathe "geoencoded" in a sunder column, so that the complete power of SQL can breathe unleashed. Want to know how many customers live within a 10-mile radius of your new store? Or if a property you're about to insure is within a known flood unpretentious or towering crime area? complete of this and much more is viable with simple SQL queries. Again, this is not a brand new feature but more and more organizations are surge to discern the potential and design applications to exploit this feature.

6. Application Portability

Despite the relative maturity of the relational database marketplace, there is soundless fierce competition for overall market participate between the top three vendors. IBM, Oracle and Microsoft are the main protagonists, and each company is constantly looking for new ways to tempt their competitor's customers to defect. Those mettlesome souls that undertook migration projects in the past faced a difficult process, often entailing significant worry and risk to port the database and associated applications to elope on the new platform. This made large-scale migrations relatively rare, even when there were compelling cost or functionality reasons to lunge to another platform.

Two trends are changing this and making porting projects more common. The first is the surge of the packaged ERP/CRM solution from companies such as SAP and Siebel. These applications stand been written to breathe largely database agnostic, with the core industry logic isolated from the underlying database by an "I/O layer". So, while there may soundless breathe apt reasons to breathe on a specific vendor's database in terms of functionality or price, the twinge of pathetic from one to another is vastly reduced and the process is supported by the ERP solution vendor with additional tooling. Over 100 SAP/Oracle customers are known to stand switched to DB2 during the past 12 months for example, including huge organizations such as Coca-Cola.

The second and more recent trend is direct uphold for competitor's database APIs. DB2 for LUW version 9.7 includes a host of new Oracle compatibility features that makes it viable to elope the vast majority of Oracle applications natively against DB2 with diminutive or no change required to the code. IBM has too announced the "DB2 SQL Skin" feature, which provides similar capabilities for Sybase ASE applications to elope against DB2. With these features greatly reducing the cost and risk of changing the application code to toil with a different database, complete that is left is to physically port the database structures and data to the new platform (which is a relatively straightforward process that is well supported by vendor tooling). There is a huge amount of excitement about these new features and IBM is expecting to discern a significant number of Oracle customers switch to DB2 in the coming year. I'm expecting IBM to continue to pursue this strategy by targeting other databases such as SQL Server, and Oracle and Microsoft may well return the favor if they launch to lose significant market participate as a result.

7. Scalability and Availability

The competence to provide unparalleled scalability and availability for DB2 databases is not new: high-end mainframe users stand been enjoying the benefits of DB2 Data Sharing and Parallel Sysplex for more than 15 years. The shared-disk architecture and advanced optimizations employed in this technology allow customers to elope mission-critical systems with 24x7 availability and no solitary point of failure, with only a minimal performance penalty. Major increases in workload can breathe accommodated by adding additional members to the data sharing group, providing an easy course to scale.

Two developments stand resulted in this making my top 10 trends list. Firstly, I'm seeing a significant number of mainframe customers who had not previously taken advantage of data sharing launch to win the plunge. There are various reasons for this, but we've definitely moved away from the days when DB2 for z/OS data sharing customers were a minority group huddling together at conferences and speaking a different language to everyone else.

The second judgement that this is set to breathe tall intelligence over the next year is DB2 pureScale: the implementation of the identical data sharing shared-disk concepts on the DB2 for LUW platform. It's difficult to overstate the potential impact this could stand on distributed DB2 customers that elope towering volume mission critical applications. Before pureScale, those customers had to depend on features such as HADR to provide failover uphold to a sunder server (which could require many seconds to win over in the event of a failure) or fade to external suppliers such as Xkoto with their Gridscale solution (no longer an option since the company was acquired by Teradata and the product was removed from the market). pureScale brings DB2 for LUW into the identical ballpark as DB2 for z/OS in terms of scalability and availability, and I'm expecting a lot of customer activity in this area over the next year.

8. Stack 'em high...

For some time now, it has been viable for organizations to win a "pick and mix" approach to their IT infrastructure, selecting the best hardware, operating system, database and even packaged application for their needs. This allowed IT staff to concentrate on pile skills and suffer in specific vendor's products, thereby reducing uphold costs.

Recent acquisitions stand begun to achieve this environment under threat. Oracle's previous purchase of ERP vendors such as Peoplesoft, Siebel and JD Edwards had already resulted in tall pressure to expend Oracle as the back-end database for those applications (even if DB2 and other databases are soundless officially supported). That reinforced SAP's alliance with IBM and the thrust to elope their applications on DB2 (again, other databases are supported but not encouraged).

Two acquisitions during the past 12 months stand further eroded the "mix and match" approach, and started a trend towards single-vendor end-to-end solution "stacks" comprising hardware, OS, database and application. The first and most significant of these was Oracle's acquisition of Sun Microsystems in January 2010. This gave the company access to Sun's well-respected server technology and the Solaris OS that runs on it. At a solitary stroke, Oracle was able to offer potential customers a completely integrated hardware/software/application stack.

The jury is soundless out on the potential impact of the second acquisition: SAP's purchase of Sybase in May 2010. Although the official SAP position is that the Sybase technology has been purchased for the enhanced mobile and in-memory computing technologies that Sybase will bring, there is the possibility that SAP will choose to integrate the Sybase database technology into the SAP product. That will soundless leave them topic on other vendors such as IBM for the hardware and operating system, but it would breathe a major step forward in any integration strategy they may have.

Older readers of this article may discern some startling similarities to the unfavorable weak days of vendor lock-in prevalent in the 1970s and 1980s. IBM's strategy to uphold other vendor's database APIs (see trend # 6) is in direct contrast to this, and it will breathe involving to discern how far customers are willing to fade down the solitary vendor route.

9. BI on the Mainframe

The concept of running industry Intelligence applications on the mainframe is not new: DB2 was originally marketed as a back-end determination uphold application for IMS databases. The competence to build a warehouse within the identical environment as your operational data resides (and thereby avoid the expensive and time-consuming process of pathetic that data to another platform for analysis) is attractive to many customers.

IBM is making significant efforts to perform this an attractive proposition for more of their mainframe customers. The Cognos tools stand been available for zLinux for a couple of years now, and the DB2 for z/OS progress team stand been steadily adding BI-related functions to the core database engine for years. Significant portions of a typical BI workload can too breathe offloaded to a zIIP coprocessor (see trend # 3), reducing the CPU costs.

More recently, IBM unveiled its Smart Analytics System 9600 - an integrated, workload balanced bundle of hardware, software and services based on System z and DB2 for z/OS. It has too begun to talk about the Smart Analytics Optimizer - a towering performance appliance-like blade for System z capable of handling intensive BI query workloads with minimal impact to CPU.

IBM is staid about BI on the mainframe, and is pile an increasingly compelling cost and functionality case to uphold it.

10. Data Governance

Ensuring that sensitive data is properly secured and audited has always been a concern, but this has received more attention in recent years due to legislation such as Sarbanes-Oxley, HIPAA and others. At the identical time, there has been an increasing focus on data quality: unfavorable data can result in unfavorable industry decisions, which no one can afford in today's competitive markets. There has too been an increasing awareness of data as both an asset and a potential liability, making archiving and lifecycle management more important.

All of these disciplines and more and surge to arrive together under the general heading of data governance. As their database systems score smarter and more self-managing, database professionals are increasingly morphing from data administrators to data governors. A new generation of tools is being rolled out to help, including Infosphere Information Analyser, Guardium and the Optim data management products.

Additional Resources

IBM's Smarter Planet initiativeIBM's zIIP Home PageDatabase operations using the GPUDB2 10 for z/OSpureXMLDB2 9.7: elope Oracle applications on DB2 9.7 for Linux, Unix, and WindowspureScaleIBM Smart Analytics OptimizeIBM Smart Analytics System 9600IBM Data governance

» discern complete Articles by Columnist Julian Stuhler

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