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000-911 System and Administration: Informix Dynamic Server

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000-911 exam Dumps Source : System and Administration: Informix Dynamic Server

Test Code : 000-911
Test denomination : System and Administration: Informix Dynamic Server
Vendor denomination : IBM
: 142 real Questions

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IBM System and Administration: Informix

IBM and AGS advertise Availability of latest solutions for Informix Dynamic Server | real Questions and Pass4sure dumps

supply: IBM

July 05, 2007 12:00 ET

New Server Studio and Sentinel R. 6.1 to enable swift Adoption of IDS eleven "Cheetah"

ARMONK, expansive apple and current york, current york--(Marketwire - July 5, 2007) - IBM (NYSE: IBM) and AGS Ltd., a privately held purveyor of management solutions for statistics servers, today introduced that the brand current Server Studio and Sentinel R. 6.1 -- the principal suite of built-in rig administration rig for IBM Informix Dynamic Server (IDS) -- is now accessible, with variants offered via each IBM and AGS.

The IDS information server is a strategic factor of IBM's assistance administration utility portfolio and the currently introduced IDS 11 -- code named Cheetah -- can provide improved performance, reliability and scalability, together with the skill to address big volumes of advanced facts at very high speeds. IDS 11 is additionally the trade's first records server to provide clustered information centers with continuous data availability and disaster restoration inspite of the geographic location or distance between backup records middle websites.

Server Studio and Sentinel together configuration a magnificent infrastructure of multi-platform tools that serve both pro database specialists and learners alike control IBM Informix data server environments with an extraordinary ease and productiveness. endemic assist of IDS 11 current functionality within the free up 6.1 of Server Studio and Sentinel further enhances skill to convey ultimate efficiency, availability and maintainability of Informix databases perquisite through their entire operational lifestyles cycle.

"Our lengthy-term partnership with AGS underscores IBM's steadfast dedication to offering IDS purchasers with the performance optimization, availability and compliance administration options they want," talked about Bernie Spang, director IBM information servers. "the brand current liberate 6.1 of Server Studio and Sentinel will aid give protection to the funding that their valued clientele fill made in their Informix data server infrastructures."

the versatility, wealthy functionality and ease-of-use supplied by means of Server Studio and Sentinel construct on the legendary reliability and smooth administration of IDS. the current device set provided through AGS helps companies and organizations exist positive that faultfinding database applications remain up and role at height levels, permitting them to easily manage alternate, address regulatory compliance and guarantee availability of essential enterprise guidance.

bank of america lately selected Server Studio and Sentinel for its IDS environment -- one of the world's greatest dispensed information facilities processing online monetary transactions.

"The latest release of Server Studio and Sentinel deliver a group of integrated, enormously productive system administration rig that builders and DBAs working with IBM's Informix information servers fill been stressful and waiting for. Informix now has very powerful graphical tools that exceed the capabilities of endemic and third birthday celebration choices attainable for every other database platform. pair this with magnificent technical aid and furthermore you find products with wonderful price and a quick ROI," spoke of Kevin Kleinhomer, vice president at fiscal institution of the usa. "In their immense disbursed ambiance, Server Studio and Sentinel fill simplified and automated many DBA tasks. With these additions, IBM's Informix information servers had been made drastically more convenient to administer and computer screen."

Server Studio gives a finished collection of effortless-to-use, proven rig for DBAs and developers that enrich efficiency of performing regular database tasks akin to: SQL construction and debugging, schema management, configuration auditing and alter management, performance tuning, information storage management and reorganization, protection administration and greater -- totality from an built-in graphical console that unites construction, administration and maintenance actions for a total Informix infrastructure at a central constituent of manage.

Sentinel offers 24 × 7 operational monitoring, alerting, topic discovery, evaluation and autonomic response automation infrastructure for IBM Informix facts servers' atmosphere. it's handy to installation agent-much less structure equips DBAs with subtle diagnostics and remediation facilities which aid pinpoint and unravel the underlying explanations of efficiency bottlenecks and resources contention issues that adversely affect databases' availability and fill an impact on conclude clients.

Smaller groups and corporations that wouldn't fill huge IT staffs to maneuver expansive facts servers infrastructure fill furthermore benefited from the wonderful software evolution and administration capabilities offered by using IDS and Server Studio.

"As a software developer and DBA, Server Studio is a device that i pinch edge of every day, and it's precisely what I claim from my tools -- solid, respectable, and robust," said Sean Durity, manager of IT for CornerCap investment assistance. "Even the 'small' facets of Server Studio are expansive timesavers. I cannot imagine working with Informix and not the exercise of Server Studio. I won't toil with anything less."

the relationship between AGS and IBM totality started in 2000 when IBM began distributing AGS' Server Studio because the simple database building and administration tools suite with Informix statistics servers. Product management, engineering and QA groups of both agencies toil closely on product direction, expertise building and QA trying out of Server Studio and Sentinel.

"we're proud of and tremendously cost their strategic partnership with IBM. option of AGS records servers' administration options by IBM is a testament to their industry-main know-how," illustrious Anatole Vishon, CEO of AGS Ltd. "We bethink the a must fill significance of Informix, exceptionally within the retail, financial, telecommunications, healthcare, govt and SMB sectors. AGS is dedicated to supporting current capabilities and developing current applied sciences for Informix facts servers so as to add price for IBM customers."

Pricing and Availability

The unencumber 6.1 of Server Studio and Sentinel can exist establish now via IBM and AGS worldwide. The Core version of Server Studio is equipped with the aid of IBM to Informix valued clientele at no additional can charge. Its basic functionality will furthermore exist prolonged by using buy of a considerable number of top rate versions accessible at once from AGS.

more information about Server Studio is attainable at:, or

additional info about Sentinel is purchasable at:, or

more information about Informix Dynamic Server is accessible at:

AGS, Server Studio and Sentinel are trademarks or registered logos of superior international systems, Ltd. For a listing of extra AGS logos, gratify perceive

IBM, Informix Dynamic Server and the IBM e-business emblem are trademarks or registered trademarks of singular company Machines employer. For an inventory of extra IBM trademarks, gratify perceive

All different company, product or carrier names may exist emblems or registered emblems of others. Statements regarding IBM's future construction plans and schedules are made for planning functions most effective, and are realm to trade or withdrawal with out exist aware. Reseller costs may additionally vary.

Embedded Database management programs Market by using perquisite Key players: Microsoft, IBM, Oracle, Centura software, utility AG, Informix, PointBase, Boiler Bay | real Questions and Pass4sure dumps

The Embedded Database management systems Market record comprises a complete analysis of the existing market. The report begins with the basic Embedded Database management methods Market overview and then goes into each and each element.

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Houston, TX -- (SBWIRE) -- 02/08/2019 -- The international Embedded Database management systems Market is explained in constituent during this record, genesis with a primary overview, which includes definitions and quite a lot of specifics regarding the raw materials used in manufacturing Market items. It includes a categorised expansive discrepancy of primary and minor factors that fill an impact on this international business. An embedded database device is a database administration rig (DBMS) which is tightly integrated with an utility software that requires entry to stored statistics, such that the database system is hidden from the utility's conclusion-person and requires dinky or no ongoing protection.

The global Embedded Database administration methods Market is growth at a CAGR of +12% perquisite through the forecast era 2019-2025.

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accurate Key providers in Market:Microsoft, IBM, Oracle, Centura software, software AG, Informix, PointBase , Boiler Bay, Inc, Embarcadero technologies, Raima, HSQLDB

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IBM supplies next-technology DB2 8.2 Database | real Questions and Pass4sure dumps

IBM grants subsequent-era DB2 8.2 Database

big Blue furthermore discloses plans to combine its DB2 and Informix Dynamix Server product lines in future types of both items

  • by means of Stephen Swoyer
  • 09/14/2004
  • IBM Corp. remaining week formally introduced the next release of its DB2 conventional Database (UDB) edition eight.2, formerly code-named “Stinger.”

    IBM introduced the first beta of Stinger final fall, adopted in can furthermore by a public beta preview. The ensuing DB2 eight.2 database—packing a bevy of efficiency and availability features, along with current autonomic capabilities—will revolve into frequently accessible this Friday.

    For the listing, expansive Blue ultimate delivered a expansive DB2 UDB supplant (version eight.1) in November 2002—just weeks after it kicked off its eBusiness-On-Demand computing strategy.

    In mild of IBM’s constant accent on utility or “on-demand” computing, then, it’s no longer mind-blowing that officials had been anxious to tout the autonomic credentials of the current database. “These [autonomic] capabilities are by a long artery the main constituent [of the DB2 8.2 release],” says Jeff Jones, director of approach for IBM’s statistics management solutions. “The conception is that with these [autonomic] capabilities, fewer DBA substances are required, and the DBA is allowed to accomplish other issues, dote might exist pinch share extra at design time, dote larger order detective work.”

    Jones says that the revamped database will configuration it easier for DBAs to install, configure, keep, and optimize DB2 databases on the fly. during this recognize, officials point to greater versions of tools reminiscent of DB2 Configuration guide and DB2 Design advisor, which supply DBAs a wizard-like interface to customise DB2 for distinctive utility and records warehousing requirements. Configuration marketing consultant, as an instance, asks questions about what sort of utility a DBA plans to roll out and how many clients she expects to aid, after which tunes DB2 therefore.

    in a similar fashion, the current Design consultant lets DBAs more effortlessly tune DB2 because the database workload adjustments, automate adjustments to the database structure, and execute tasks similar to database backup and restoration. Jones says it may well exist principally valuable in complicated-question environments.

    one of the vital greatest current elements in the revamped DB2 is in response to technology IBM developed for its studying Optimization (LEO) analysis and evolution assignment. in keeping with Jones, LEO helps to automate, simplify, and accelerate queries devoid of requiring a DBA’s attention. The LEO technology additionally provides up-to-date question statistics about database use, storage, and efficiency.

    nonetheless an additional current role is what IBM calls question Patroller, which introduces a question-based chargeback facility. “It permits you to in fact monitor [and] exist watchful the cost of queries, so you can accomplish issues dote chargeback. which you can really cipher how an contaminated lot query time these departments are the exercise of and cost them for it,” spoke of Paul Rivot, international director of database servers at IBM, in an interview this can also.

    in other places, DB2 8.2 boasts a brand current role referred to as Autonomic expostulate renovation that immediately performs administration and preservation functions, equivalent to desk adjustments or facts backups.

    possibly incredibly, IBM’s DB2 8.2 free up borrows heavily from technologies already blanketed in the Informix Dynamix Server, the object-relational statistics shop IBM obtained with the buy of Informix in 2001. for instance, says Jones, the current version of DB2 features a capacity known as Autonomic high-Availability-disaster-recovery (HADR) with autonomic customer reroute, which helps computerized high-availability, catastrophe recovery and client reroute for clustered environments.

    “We’re vastly automating the assignment of setting up failover pairs, returned up methods, to fail to when a major device dies,” he explains. “This became achievable during the past with DB2, however become quite just a dinky greater guide. seems that Informix has a proper rich, real powerful capacity, so they decided, let’s find this occurring DB2, as a result of this will vastly fill an consequence on DB2.”

    HADR gives a wizard-like interface that lets DBAs “build and set up this [clustering] potential and additionally the automated customer re-route and the genuine mechanical failover capabilities which are very brief and very computerized once some thing fails,” says Jones.

    On the BI entrance, Jones says, DB2 8.2 features an additional contribution from Informix Dynamix Server. “The other is the Geodetic Extender this is an present thing called the Geodetic records Blade,” he confirms. due to its Geodetic Extender part, DB2 eight.2 can redeem 3-dimensional geospatial statistics that's both vicinity- and time-and-space-aware. This feature may silent attraction primarily to valued clientele in inescapable verticals (government, protection, and transportation, together with restaurant chains and retailers) that now and again exercise spatial information to establish current company alternatives, officers say.

    in other places in BI additions, Jones says consumers can exercise DB2 dice Views to define OLAP-centric metadata—including hierarchies, dimensions, attributes, and traffic suggestions or formulas—and shop it as a transparent extension to DB2. within the revamped eight.2 free up, this know-how has been tweaked to enhance query performance.

    DB2 and Informix Dynamix to Merge in Subsequent Revisions

    IBM presently keeps divorce evolution teams for DB2 UDB and Informix Dynamix, but Jones says big Blue has plans to merge both product traces in the future. “we fill the luxurious of having two building groups innovating simultaneously and sharing their improvements with one yet another, with the choicest train of having the subsequent edition of DB2 and the next edition of Informix Dynamix Server approach to exist being the very factor,” he asserts.

    Jones points to IBM’s latest interoperability toil with the two data shops, including go-statistics-type assist and SQL standardization, which, he says, will configuration it workable to migrate from side to side between both statistics shops. “The artery then is to guide Informix Dynamix Server and raise it through person requirements, however accomplish that with a continuous eye to getting closer and closer to common performance with DB2,” says Jones, who adds “that is a artery off.”

    within the near-term, says Jones, IBM will proceed to aid current Informix Dynamix customers. “Informix Dynamic Server is silent turning out to exist and being superior. we've the Informix crew nevertheless engaged on it, and we're supporting the Informix customer base,” he asserts.

    related Articles

    IBM presents Public Preview of “Stinger” DB2

    IBM Database update activities BI-pleasant Features

    about the creator

    Stephen Swoyer is a Nashville, TN-based mostly freelance journalist who writes about expertise.

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    July 05, 2007 12:00 ET

    New Server Studio and Sentinel R. 6.1 to Enable Rapid Adoption of IDS 11 "Cheetah"

    ARMONK, NY and current YORK, NY--(Marketwire - July 5, 2007) - IBM (NYSE: IBM) and AGS Ltd., a privately held purveyor of management solutions for data servers, today announced that the current Server Studio and Sentinel R. 6.1 -- the principal suite of integrated system management tools for IBM Informix Dynamic Server (IDS) -- is now available, with editions offered by both IBM and AGS.

    The IDS data server is a strategic constituent of IBM's Information Management software portfolio and the recently announced IDS 11 -- code named Cheetah -- delivers increased performance, reliability and scalability, along with the faculty to wield massive volumes of knotty data at very high speeds. IDS 11 is furthermore the industry's first data server to provide clustered data centers with continuous data availability and disaster recovery regardless of the geographic location or distance between backup data center sites.

    Server Studio and Sentinel together configuration a powerful infrastructure of multi-platform tools that serve both seasoned database professionals and novices alike manage IBM Informix data server environments with an unprecedented ease and productivity. endemic uphold of IDS 11 current functionality in the Release 6.1 of Server Studio and Sentinel further enhances faculty to deliver optimal performance, availability and maintainability of Informix databases throughout their entire operational life cycle.

    "Our long-term partnership with AGS underscores IBM's steadfast commitment to providing IDS clients with the performance optimization, availability and compliance management solutions they need," said Bernie Spang, director IBM data servers. "The current Release 6.1 of Server Studio and Sentinel will serve protect the investment that their customers fill made in their Informix data server infrastructures."

    The versatility, flush functionality and ease-of-use provided by Server Studio and Sentinel build on the legendary reliability and simple administration of IDS. The current instrument set offered by AGS helps companies and organizations ensure that faultfinding database applications remain up and execute at peak levels, allowing them to effectively manage change, wield regulatory compliance and assure availability of vital traffic information.

    Bank of America recently selected Server Studio and Sentinel for its IDS environment -- one of the world's largest distributed data centers processing online fiscal transactions.

    "The latest release of Server Studio and Sentinel provide a collection of integrated, highly productive system management tools that developers and DBAs working with IBM's Informix data servers fill been demanding and waiting for. Informix now has very powerful graphical tools that exceed the capabilities of endemic and third party offerings available for any other database platform. pair this with outstanding technical uphold and you find products with excellent value and a quick ROI," said Kevin Kleinhomer, Vice President at Bank of America. "In their big distributed environment, Server Studio and Sentinel fill simplified and automated many DBA tasks. With these additions, IBM's Informix data servers fill been made significantly easier to administer and monitor."

    Server Studio provides a comprehensive collection of easy-to-use, proven tools for DBAs and developers that better efficiency of performing common database tasks such as: SQL evolution and debugging, schema management, configuration auditing and change management, performance tuning, data storage management and reorganization, security administration and more -- totality from an integrated graphical console that unites development, administration and maintenance activities for an entire Informix infrastructure at a central point of control.

    Sentinel provides 24 × 7 operational monitoring, alerting, issue discovery, analysis and autonomic response automation infrastructure for IBM Informix data servers' environment. It's smooth to deploy agent-less architecture equips DBAs with sophisticated diagnostics and remediation facilities which serve pinpoint and resolve the underlying causes of performance bottlenecks and resources contention issues that adversely affect databases' availability and impact conclude users.

    Smaller companies and organizations that accomplish not fill big IT staffs to manage big data servers infrastructure fill furthermore benefited from the robust application evolution and administration capabilities provided by IDS and Server Studio.

    "As a software developer and DBA, Server Studio is a instrument that I exercise every day, and it is exactly what I claim from my tools -- stable, reliable, and powerful," said Sean Durity, Manager of IT for CornerCap Investment Counsel. "Even the 'small' features of Server Studio are expansive timesavers. I can't imagine working with Informix and not using Server Studio. I won't toil with anything less."

    The relationship between AGS and IBM began in 2000 when IBM began distributing AGS' Server Studio as the primary database evolution and administration tools suite with Informix data servers. Product management, engineering and QA teams of both companies toil closely on product direction, technology evolution and QA testing of Server Studio and Sentinel.

    "We are proud of and greatly value their strategic partnership with IBM. Selection of AGS data servers' management solutions by IBM is a testament to their industry-leading technology," said Anatole Vishon, CEO of AGS Ltd. "We understand the vital importance of Informix, particularly in the retail, financial, telecommunications, healthcare, government and SMB sectors. AGS is committed to supporting existing capabilities and developing current technologies for Informix data servers to add value for IBM customers."

    Pricing and Availability

    The Release 6.1 of Server Studio and Sentinel are available now through IBM and AGS worldwide. The Core Edition of Server Studio is provided by IBM to Informix customers at no additional cost. Its basic functionality can exist extended by purchase of various premium editions available directly from AGS.

    Additional information about Server Studio is available at:, or

    Additional information about Sentinel is available at:, or

    Additional information about Informix Dynamic Server is available at:

    AGS, Server Studio and Sentinel are trademarks or registered trademarks of Advanced Global Systems, Ltd. For a list of additional AGS trademarks, gratify perceive

    IBM, Informix Dynamic Server and the IBM e-business logo are trademarks or registered trademarks of International traffic Machines Corporation. For a list of additional IBM trademarks, gratify perceive

    All other company, product or service names may exist trademarks or registered trademarks of others. Statements concerning IBM's future evolution plans and schedules are made for planning purposes only, and are topic to change or withdrawal without notice. Reseller prices may vary.

    Efficient Vehicle Tracking System Software Solution with Informix Dynamic Server | real questions and Pass4sure dumps

    Nov 10, 2011

    Vaibhav Dantale

    Although  it is workable to develop an efficient Vehicle Tracking System using any database server, and many such solutions are already available in the market, Informix offers many advantages. Informix can reduce your disk space requirement, better your query performance, and reduce your application evolution efforts, without special training or buying additional technology. The built-in technologies of Informix will reduce your total cost of ownership, so if these benefits are primary to you, preserve reading!

    A Vehicle Tracking System (VTS) tracks vehicles and provides different analytics, such as the total distance travelled, the total fuel consumption, the best routes, and so on. Certainly having more and more different kinds of alerts improves the efficiency of system. This system encompasses three phases of implementation: instrumentation, integration, and intelligence.

    Instrumentation: Each vehicle has a special device that records different parameters related to a vehicle, such as, speed, current location, fuel status, ignition status, and so on.

    Integration: Devices implemented in the realm transmit information through an integrated system that includes a GPRS system and stores the information in a database.

    Intelligence: The intelligence on the information collected from the realm is stored in a database, including different kinds of MIS reports, dashboards, current locations of vehicles, travel information, and reports of exceptions dote geo-fence violations and fuel theft.

    Some of the characteristics of a VTS are:

  • Information about vehicles is collected every few minutes or as often as every minute
  • The volume of the data is huge
  • Performance is critical
  • Accuracy of the data matters the most
  • The application logic is specific to the industry (for example, geo-fencing, distance calculations, and so on)
  • Now let's perceive the advantages of Informix built-in technologies over the traditional relational approach.

    Disk Space Saving (62%)

    A vehicle tracking system collects the vehicle-related information, including a time stamp, with a specific frequency. Informix provides a data kind that stores this kind of time train information more efficiently than any traditional RDBMS approach. The following tables compare both approaches.

    Traditional RDBMS approach

    This table shows the structure of the tracking table in a traditional RDBMS.

    Vehicle number







    2010-12-01 01:00:00.00000






    2010-12-01 01:00:10.00000






    2010-12-01 01:00:20.00000








    2010-12-01 01:00:00.00000






    2010-12-01 01:00:10.00000







    Informix TimeSeries data kind approach

    Informix stores time train data in a specialized data type, called TimeSeries, which stores totality the time train data for a particular vehicle in the very row. Informix supports two different types of time series: regular time train that stores the data with a fixed frequency, and irregular time train that stores the data for capricious points in time. A regular time train is the most suitable for a VTS. In a regular time series, the time stamp is stored only once as the source of the time train and the time stamps of the rest of the rows are calculated using the offset from the origin.

    This table shows the structure of the tracking table in Informix, using the TimeSeries data type.

    Vehicle number

    TimeSeries column


    [(72.844060, 19.116280,85.00,40.00), (72.853800, 19.113470,84.90, 39.00)....]


    [(72.855370, 19.116570, 100.00,45.00), (72.885120, 19.106000, 99.90, 45.00)..]



    The data for each vehicle is stored in contiguous disk space on a page.


    Traditional RDBMS approach

    We create the traditional RDBMS table for storing vehicle tracking information, called vehicle_tracking:

    create table vehicle_tracking


       vehicle_number integer, - 4 (bytes)

       timestamp datetime year to fraction(5) - 11(bytes)

       longitude decimal(10,8), - 6(bytes)

       latitude decimal(10,8)     - 6(bytes)

       quicken decimal(5,2) - 4(bytes)


    We create an index on the vehicle_number and timestamp columns.

    Suppose they fill 10,000 vehicles to exist tracked every minute and they exigency to store information for 90 days. Let's cipher the storage requirements.

    Record size                  = 4+11+6+6+4 = 31

    Record/slot overhead    = 4 bytes

    Total size of record       = 31 + 4 = 35 bytes

    Page overhead for maintaining page information = 28bytes per page

    Total free space on 2 K page size                                 = 2048-28 = 2020byte

    Total records on each page                                           = 2020/35=57

    Total number of records                                                = 10000*60*24*90 = 1296000000

    Total number of pages used                                          = 1296000000 / 57 = 22736842

    Total space required for data                                        = 22736842 * 2 KB = 43 GB

    Total space required for the index                                 =  34 GB

    The total space required for the vehicle_tracking table = 43 + 34 = 77GB

    Informix TimeSeries data kind approach

    We create a TimeSeries data type, named vehicle_tracking_rt, and then create a table, named vehicle_tracking_ts, that includes the vehicle_tracking_rt column:

    create row kind vehicle_tracking_rt


       timestamp datetime year to fraction(5)

       longitude decimal(10,8),

       latitude decimal(10,8),

       quicken decimal(5,2)



    create table vehicle_tracking_ts


       vehicle_number integer,

       vehicle_info timeseries(vehicle_tracking_rt)


    We create an index on only the vehicle_number column.

    We store the vehicle number only once, hence the space required for the vehicle_number column = 10000*4 = 40000bytes=39 KB.

    We create the index on only the vehicle_number column, hence the total space required for the index = 10000*4=40000 bytes = 39 KB.

    We store the time stamp only once for each vehicle, hence the space required for the time stamp = 10000*11 = 110000 bytes = 107 KB.

    The space required for totality remaining columns is:

    Record size                  = 6+6+4 = 16

    Record/slot overhead    = 4 bytes

    Total size of record       = 16 + 4 = 20 bytes

    Page overhead for maintaining page information = 28bytes + 16 bytes slot overhead Total free space on 2 K page size                           = 2048-44 = 2004 bytes

    Total records on each page                                           = 2004/20=100

    Total number of pages used per vehicle per day =  1440 / 100 = 15

    Total pages used per day                                              = 10000*15 = 150000

    Total space required for data on first day                       = 150000 * 2 KB = 0.29 GB

    Daily increment in data                                      = 0.27 GB

    Total space required for data of 90 days                       = 25 GB

    The total space required for the vehicle_tracking_ts table = 25 GB +39 KB +29 KB+ 107 KB = 25 GB

    This is a 68% disc space saving compared to a traditional RDBMS approach.

    Performance (up to 54 times faster)

    Let's reckon few exercise cases:

  • Fuel theft information
  • Geo-fence exceptions
  • Total fuel consumption
  • For totality of these exercise cases, the application scans through the data for one day.

    Traditional RDBMS performance

    The report generation requires the following disk reads:

    At least 5 disk reads through the index to compass to leaf nodes

    Each vehicle has 60*24 records per day = 1440

    Each vehicle needs 1440 non-cached disk reads

    Total non-cached distributed disk reads = 1440 * 10000 = 14.4 million

    Informix TimeSeries data kind performance

    Because the index is only 39 KB, the scan pains is minimal.

    Because the TimeSeries data kind stores data in contiguous space on a page, for a 2 K page size each page contains at least 2004/20  = 100 rows.

    Each vehicle needs 1440/100 = 15 pages = 15 disk reads.

    Total non-cached distributed disk reads = (15+ 1) * 10000 = 160,000

    Comparison table:



    Traditional RDBMS


    8.64 million

    Informix TimeSeries type




    68% space saving

    54 times faster

    The advantages of using the Informix TimeSeries implementation are:

  • Disk space reduction:  almost 62% disc space saving
  • Performance improvement is multifold: up to 110 times faster
  • Faster development: Informix has more than 80 built-in SQL functions to execute different operations on time train data, such as, aggregation, running average, slimming algorithms, interpolation and extrapolation, and so on.
  • Customized development: Informix provides C and Java APIs to let developers develop their own time train functions.
  • Application Development

    Because many operations in a VTS application are time based, the available built-in routines for the Informix TimeSeries data kind makes evolution smooth and fast.

    If they want to perceive the detached quicken of vehicle every 30 minutes, the RDBMS approach requires a big programming pains and a performance challenge. Whereas, with the Informix TimeSeries data type, they exercise the simple AggregateBy role to roll-up the information to any required time frequency.

    If they want to perceive the detached quicken of vehicle in eventual 30 days, the best artery is to examine its running detached (not its ordinary average). Again, showing the running detached quicken of vehicles with the RDBMS approach is a expansive programming and performance challenge. Whereas with the Informix TimeSeries data type, they exercise the simple TSRunningAvg role with the era and frequency that they want.

    Another basic exigency of VTS is storing location-related information. Location information can exist in the configuration of a point specifying the location of vehicle, a LineString specifying the route, or a Polygon specifying the geo-fence of the vehicle. The easiest artery to wield this kind of information is by using the Informix spatial data types. Informix spatial data types not only optimally maintain the data, but furthermore provide built-in routines that better the accuracy and ease the evolution of your solution.

    Let's examine the exercise case of geo-fencing. Geo-fencing refers to the rehearse of limiting the vehicle movements to a specific geographical belt by defining the latitude and longitude of the belt in the configuration of a LineString or polygon.

    A geo-fence system raises an alarm if one of the vehicles leaves the fenced belt and deviates from its designated route. This might happen because of the personal interest of the vehicle driver or because the vehicle is stolen.

    Traditional RDBMS approach

    We identify the different locations on the route the vehicle is hypothetical to travel and insert multiple rows into a fence table, comprising information dote the vehicle ID and its location (latitude and longitude) information. If they exigency to track 200 different locations on the designated route for a particular vehicle, they insert 200 rows for that vehicle. To check if the vehicle is outside the fence area, they develop their own logic and race the cursor through these 200 rows to check if the current location is within any two points.

    To display the geo-fence on an online map, they create an XML file by running a cursor through totality 200 records and then parse through the XML to display each point on the map.

    Informix spatial data types approach

    We define a column called geofence in the master table with a data kind of either polygon or LineString. They store totality 200 location co-ordinates in this solitary column.

    To check if the vehicle is within the fence area, they exercise the SQL role ST_Within (curr_loc,geofence). If the role returns "True," the vehicle is within the fence area; if it returns "False," the vehicle is outside the fence area.

    To display the geo-fence on an online map, they exercise SE_askml(geofence) function, which creates a KML file that they can import into the map.

    Advantages of using Informix spatial data types

  • Faster development:  functions dote ST_within and SE_askml are readily available
  • Better performance: they don't exigency to race through multiple records
  • Assured accuracy:  they are using Open GIS Consortium-compliant function
  • More analytics: they can find the nearest location or the distance between any two locations using functions dote Nearest and ST_distance
  • Summary

    Systems dote a Vehicle Tracking System can exist developed using any benevolent of database as a back-end. But using by the Informix TimeSeries and spatial built-in data types, the very system can exist many times more efficient. The disk space saving of 60% and up to 54 times faster performance compared to traditional relational approach can enable you to augment the frequency of data collection, which means better accuracy.  The built-in functions for the  TimeSeries and spatial data types makes the application evolution assignment easier and provides for increased accuracy.

    About the author:

    Vaibhav Dantale is a software engineer within IBM Information Management division. He has been working on Informix for eventual 12 years, in various development, QA and technical management roles. Currently, Dantale focuses on  evangelizing Informix product in ASIA Pacific region. He is one of the Informix TimeSeries technical experts and has been involved in several  customer engagements on Informix TimeSeries. He has patents under his denomination and is co-author of a red reserve on Informix security features.

    Database Administration: Creating the Database Environment | real questions and Pass4sure dumps

    Establishing a usable database environment requires a powerful deal of skill, knowledge, and consideration. This chapter will contour the principles involved in establishing a usable database environment.

    This chapter is from the reserve 

    One of the primary tasks associated with the job of DBA is the process of choosing and installing a DBMS. Unfortunately, many traffic executives and IT professionals without database management background assume that once the DBMS is installed, the bulk of the toil is done. The verisimilitude is, choosing and installing the DBMS is hardly the most difficult share of a DBA’s job. Establishing a usable database environment requires a powerful deal of skill, knowledge, and consideration. This chapter will contour the principles involved in establishing a usable database environment.

    The process of choosing a suitable DBMS for enterprise database management is not as difficult as it used to be. The number of major DBMS vendors has dwindled due to industry consolidation and domination of the sector by a few very big players.

    Yet, big and medium-size organizations typically race multiple DBMS products, from as few as two to as many as ten. For example, it is not uncommon for a big company to exercise IMS or IDMS and DB2 on the mainframe, Oracle and MySQL on several different UNIX servers, Microsoft SQL Server on Windows servers, as well as pockets of other DBMS products such as Sybase, Ingres, Adabas, and PostgreSQL on various platforms, not to mention single-user PC DBMS products such as Microsoft Access, Paradox, and FileMaker. Who chose to install totality these DBMSs and why?

    Unfortunately, often the concede is that not much thought and planning went into the decision-making process. Sometimes the conclusion to purchase and install a current DBMS is driven by a traffic exigency or a current application. This is reasonable if your organization has no DBMS and must purchase one for the first time. This is rarely the case, though. Regardless of whether a DBMS exists on-site, a current DBMS is often viewed as a requirement for a current application. Sometimes a current DBMS product is purchased and installed without first examining if the application could exist successfully implemented using an existing DBMS. Or, more likely, the DBAs know the application can exist implemented using an existing DBMS but exigency the organizational power or uphold to reject a current DBMS proposal.

    There are other reasons for the existence of multiple DBMS platforms in a solitary organization. Perhaps the company purchased a commercial off-the-shelf application package that does not race on any of the current DBMS platforms. Sometimes the conclusion to buy a current DBMS is driven by the crave to uphold the latest and greatest technology. For example, many mainframe shops affecting from a hierarchic (IMS) or CODASYL (IDMS) database model to the relational model deployed DB2, resulting in an additional DBMS to learn and support. Then, when client/server computing became popular, additional DBMSs were implemented on UNIX, Linux, and Windows servers.

    Once a DBMS is installed, removal can exist difficult because of incompatibilities among the different DBMSs and the necessity of converting application code. Furthermore, when a current DBMS is installed, old-fashioned applications and databases are usually not migrated to it. The old-fashioned DBMS remains and must continue to exist supported. This complicates the DBA’s job.

    So what should exist done? Well, the DBA group should exist empowered to configuration the DBMS decisions for the organization. No traffic unit should exist allowed to purchase a DBMS without the consent of the DBA group. This is a difficult provision to implement and even more difficult to enforce. traffic politics often toil against the DBA group because it frequently possesses less organizational power than other traffic executives.

    Choosing a DBMS

    The DBA group should set a policy regarding the DBMS products to exist supported within the organization. Whenever possible, the policy should minimize the number of different DBMS products. For a shop with multiple operating systems and multiple types of hardware, select a default DBMS for the platform. dishearten aberration from the default unless a compelling traffic case exists—a traffic case that passes the technical inspection of the DBA group.

    Most of the major DBMS products fill similar features, and if the feature or functionality does not exist today, it probably will within 18 to 24 months. So, exercise caution before deciding to select a DBMS based solely on its faculty to uphold a specific feature.

    When choosing a DBMS, it is wise to select a product from a tier-1 vendor as listed in Table 2.1. Tier 1 represents the largest vendors having the most heavily implemented and supported products on the market. You cannot travel wrong with DB2 or Oracle. Both are current and uphold just about any kind of database. Another major player is Microsoft SQL Server, but only for Windows platforms. DB2 and Oracle race on multiple platforms ranging from mainframe to UNIX, as well as Windows and even handheld devices. Choosing a DBMS other than these three should exist done only under specific circumstances.

    Table 2.1. Tier-1 DBMS Vendors

    DBMS Vendor

    DBMS Product

    IBM Corporation


    New Orchard Road

    Armonk, NY 10504

    Phone: (914) 499-1900

    Oracle Corporation


    500 Oracle Parkway

    Redwood Shores, CA 94065

    Phone: (650) 506-7000

    Microsoft Corporation

    SQL Server

    One Microsoft Way

    Redmond, WA 98052

    Phone: (425) 882-8080

    After the expansive three approach MySQL, Sybase, Teradata, and Informix. Table 2.2 lists these tier-2 DBMS vendors. totality of these offerings are attribute DBMS products, but their installed groundwork is smaller, their products are engineered and marketed for niche purposes, or the companies are smaller with fewer resources than the expansive Three (IBM, Oracle, and Microsoft), so there is some risk in choosing a DBMS from tier 2 instead of tier 1. However, there may exist solid reasons for deploying a tier-2 solution, such as the high performance offered by Informix or the data warehousing and analytics capabilities of Teradata.

    Table 2.2. Tier-2 DBMS Vendors

    DBMS Vendor

    DBMS Product

    IBM Corporation

    Informix Dynamic Server

    New Orchard Road

    Armonk, NY 10504

    Phone: (914) 499-1900

    Sybase Inc. (an SAP Company)

    Adaptive Server Enterprise

    6475 Christie Avenue

    Emeryville, CA 94608

    Phone: (510) 922-3500

    Teradata Corporation


    10000 Innovation Drive

    Dayton, OH 45342

    Phone: (937) 242-4030

    MySQL (a subsidiary of Oracle Corporation)


    Phone: (208) 338-8100

    Of course, there are other DBMS products on the market, many of which are fine products and worthy of consideration for specialty processing, inescapable predefined needs, and niche roles. If your company is heavily into the open-source software movement, PostgreSQL, EnterpriseDB, or MySQL might exist viable options. If an expostulate DBMS is primary for a specific project, you might reckon ObjectDesign or Versant. And there are a variety of NoSQL DBMS offerings available, too, such as Hadoop, Cassandra, and MongoDB.1

    However, for the bulk of your data management needs, a DBMS from a tier-1, or perhaps tier-2, DBMS vendor will deliver enough functionality with minimal risk. A myriad of DBMS products are available, each with inescapable features that configuration them worthy of consideration on a case-by-case basis. Choosing any of the lower-tier candidates—even such major names as Software AG’s Adabas and Actian’s Ingres—involves incurring additional risk. mention to Appendix B for a list of DBMS vendors.

    I accomplish not want it to sound as if the selection of a DBMS is a no-brainer. You will exigency a strategy and a artery for selecting the arrogate DBMS for your specific situation. When choosing a DBMS, exist positive to reckon each of these factors:

  • Operating system support. Does the DBMS uphold the operating systems in exercise at your organization, including the versions that you are currently using and artery on using?
  • Type of organization. pinch into consideration the corporate philosophy when you select a DBMS. Some organizations are very conservative and dote to preserve a taut rein on their environments; these organizations tend to gravitate toward traditional mainframe environments. Government operations, fiscal institutions, and insurance and health companies usually tend to exist conservative. More-liberal organizations are often willing to reckon alternative architectures. It is not uncommon for manufacturing companies, dot-coms, and universities to exist less conservative. Finally, some companies just accomplish not dependence Windows as a mission-critical environment and prefer to exercise UNIX; this rules out some database vendors (Microsoft SQL Server, in particular).
  • Benchmarks. What performance benchmarks are available from the DBMS vendor and other users of the DBMS? The Transaction Processing Performance Council (TPC) publishes official database performance benchmarks that can exist used as a guideline for the basic overall performance of many different types of database processing. (Refer to the sidebar “The Transaction Processing Performance Council” for more details.) In general, performance benchmarks can exist useful as a broad indicator of database performance but should not exist the only determinant when selecting a DBMS. Many of the TPC benchmarks are race against database implementations that are not representative of most production database systems and therefore are not indicative of the actual performance of a particular DBMS. In addition, benchmarks are constantly updated to point to current and improved performance measurements for each of the major DBMS products, rendering the benchmark “winners” obsolete very quickly.
  • Scalability. Does the DBMS uphold the number of users and database sizes you intend to implement? How are big databases built, supported, and maintained—easily or with a lot of pain? Are there independent users who can substantiate the DBMS vendor’s scalability claims?
  • Availability of supporting software tools. Are the supporting tools you require available for the DBMS? These items may embrace query and analysis tools, data warehousing uphold tools, database administration tools, backup and recovery tools, performance-monitoring tools, capacity-planning tools, database utilities, and uphold for various programming languages.
  • The Transaction Processing Performance Council is an independent, not-for-profit organization that manages and administers performance benchmark tests. Its mission is to define transaction processing and database benchmarks to provide the industry with objective, verifiable performance data. TPC benchmarks measure and evaluate computer functions and operations.

    The definition of transaction espoused by the TPC is a traffic one. A typical TPC transaction includes the database updates for things such as inventory control (goods), airline reservations (services), and banking (money).

    The benchmarks produced by the TPC measure performance in terms of how many transactions a given system and database can execute per unit of time, for example, number of transactions per second. The TPC defines three benchmarks:

  • TPC-C, for planned production workload in a transaction environment
  • TPC-H, a conclusion uphold benchmark consisting of a suite of business-oriented ad hoc queries and concurrent data modifications
  • TPC-E, an updated OLTP workload (based on fiscal transaction processing)
  • Additional information and in-depth definitions of these benchmarks can exist establish at the TPC Web site at (see motif 2.1).

  • Technicians. Is there a enough supply of skilled database professionals for the DBMS? reckon your needs in terms of DBAs, technical uphold personnel (system programmers and administrators, operations analysts, etc.), and application programmers.
  • Cost of ownership. What is the total cost of ownership of the DBMS? DBMS vendors permeate wildly varying prices for their technology. Total cost of ownership should exist calculated as a combination of the license cost of the DBMS; the license cost of any required supporting software; the cost of database professionals to program, support, and administer the DBMS; and the cost of the computing resources required to operate the DBMS.
  • Release schedule. How often does the DBMS vendor release a current version? Some vendors fill rapid release cycles, with current releases coming out every 12 to 18 months. This can exist auspicious or bad, depending on your approach. If you want cutting-edge features, a rapid release cycle is good. However, if your shop is more conservative, a DBMS that changes frequently can exist difficult to support. A rapid release cycle will antecedent conservative organizations either to upgrade more frequently than they would dote or to live with outdated DBMS software that is unlikely to fill the very flush of uphold as the latest releases.
  • Reference customers. Will the DBMS vendor supply current user references? Can you find other users on your own who might provide more impartial answers? discourse with current users to elicit issues and concerns you may fill overlooked. How is support? Does the vendor respond well to problems? accomplish things generally toil as advertised? Are there a lot of bug fixes that must exist applied continuously? What is the attribute of current releases? These questions can exist answered only by the folks in the trenches.
  • When choosing a DBMS, exist positive to pinch into account the complexity of the products. DBMS software is very knotty and is getting more knotty with each current release. Functionality that used to exist supported only with add-on software or independent programs is increasingly being added as features of the DBMS, as shown in motif 2.2. You will exigency to artery for and uphold totality the features of the DBMS. Even if there is no current requirement for inescapable features, once you implement the DBMS the programmers and developers will find a intuition to exercise just about anything the vendor threw into it. It is better to artery and exist prepared than to allow features to exist used without a artery for supporting them.

    Figure 2.2

    Figure 2.2. Convergence of features and functionality in DBMS software

    DBMS Architectures

    The supporting architecture for the DBMS environment is very faultfinding to the success of the database applications. One wrong election or poorly implemented component of the overall architecture can antecedent needy performance, downtime, or unstable applications.

    When mainframes dominated enterprise computing, DBMS architecture was a simpler concern. Everything ran on the mainframe, and that was that. However, today the IT infrastructure is distributed and heterogeneous. The overall architecture—even for a mainframe DBMS—will probably consist of multiple platforms and interoperating system software. A team consisting of traffic and IT experts, rather than a solitary person or group, should configuration the final architecture decision. traffic experts should embrace representatives from various departments, as well as from accounting and legal for software constrict issues. Database administration representatives (DA, DBA, and SA), as well as members of the networking group, operating system experts, operations control personnel, programming experts, and any other interested parties, should exist included in this team.

    Furthermore, exist positive that the DBMS you select is arrogate for the nature and kind of processing you artery to implement. Four levels of DBMS architecture are available: enterprise, departmental, personal, and mobile.

    An enterprise DBMS is designed for scalability and high performance. An enterprise DBMS must exist capable of supporting very big databases, a big number of concurrent users, and multiple types of applications. The enterprise DBMS runs on a large-scale machine, typically a mainframe or a high-end server running UNIX, Linux, or Windows Server. Furthermore, an enterprise DBMS offers totality the “bells and whistles” available from the DBMS vendor. Multiprocessor support, uphold for parallel queries, and other advanced DBMS features are core components of an enterprise DBMS.

    A departmental DBMS, sometimes referred to as a workgroup DBMS, serves the middle ground. The departmental DBMS supports diminutive to medium-size workgroups within an organization; typically, it runs on a UNIX, Linux, or Windows server. The dividing line between a departmental database server and an enterprise database server is quite gray. Hardware and software upgrades can allow a departmental DBMS to tackle tasks that previously could exist performed only by an enterprise DBMS. The steadily falling cost of departmental hardware and software components further contributes to lowering the total cost of operation and enabling a workgroup environment to scale up to serve the enterprise.

    A personal DBMS is designed for a solitary user, typically on a low- to medium-powered PC platform. Microsoft Access, SQLite, and FileMaker2 are examples of personal database software. Of course, the major DBMS vendors furthermore market personal versions of their higher-powered solutions, such as Oracle Database Personal Edition and DB2 Personal Edition. Sometimes the low cost of a personal DBMS results in a misguided attempt to select a personal DBMS for a departmental or enterprise solution. However, accomplish not exist lured by the low cost. A personal DBMS product is suitable only for very small-scale projects and should never exist deployed for multiuser applications.

    Finally, the mobile DBMS is a specialized version of a departmental or enterprise DBMS. It is designed for remote users who are not usually connected to the network. The mobile DBMS enables local database access and modification on a laptop or handheld device. Furthermore, the mobile DBMS provides a mechanism for synchronizing remote database changes to a centralized enterprise or departmental database server.

    A DBMS designed for one kind of processing may exist ill suited for other uses. For example, a personal DBMS is not designed for multiple users, and an enterprise DBMS is generally too knotty for solitary users. exist positive to understand the differences among enterprise, departmental, personal, and mobile DBMS software, and select the arrogate DBMS for your specific data-processing needs. You may exigency to select multiple DBMS types—that is, a DBMS for each level—with usage determined by the needs of each evolution project.

    If your organization requires DBMS solutions at different levels, favor the selection of a group of DBMS solutions from the very vendor whenever possible. Doing so will minimize differences in access, development, and administration. For example, favor Oracle Database Personal Edition for your single-user DBMS needs if your organization uses Oracle as the enterprise DBMS of choice.

    DBMS Clustering

    Clustering is the exercise of multiple “independent” computing systems working together as a single, highly available system. A modern DBMS offers clustering uphold to enhance availability and scalability. The two predominant architectures for clustering are shared-disk and shared-nothing. These names accomplish a auspicious job of describing the nature of the architecture—at least at a high level.

    Shared-nothing clustering is depicted in motif 2.3. In a shared-nothing architecture, each system has its own private resources (memory, disks, etc.). The clustered processors communicate by passing messages through a network that interconnects the computers. In addition, requests from clients are automatically routed to the system that owns the resource. Only one of the clustered systems can “own” and access a particular resource at a time. In the event a failure occurs, resource ownership can exist dynamically transferred to another system in the cluster. The main edge of shared-nothing clustering is scalability. In theory, a shared-nothing multiprocessor can scale up to thousands of processors because they accomplish not tamper with one another—nothing is shared.

    In a shared-disk environment, totality the connected systems share the very disk devices, as shown in motif 2.4. Each processor silent has its own private memory, but totality the processors can directly address totality the disks. Typically, shared-disk clustering does not scale as well for smaller machines as shared-nothing clustering. Shared-disk clustering is better suited to large-enterprise processing in a mainframe environment. Mainframes—very big processors—are capable of processing immense volumes of work. powerful benefits can exist obtained with only a few clustered mainframes, while many PC and midrange processors would exigency to exist clustered to achieve similar benefits.

    Shared-disk clustering is usually preferable for applications and services requiring only modest shared access to data and for applications or workloads that are very difficult to partition. Applications with ponderous data update requirements are probably better implemented as shared-nothing. Table 2.3 compares the capabilities of shared-disk and shared-nothing architectures.

    Table 2.3. Comparison of Shared-Disk and Shared-Nothing Architectures



    Quick adaptability to changing workloads

    Can exploit simpler, cheaper hardware

    High availability

    Almost unlimited scalability

    Performs best in a ponderous read environment

    Works well in a high-volume, read-write environment

    Data exigency not exist partitioned

    Data is partitioned across the cluster

    The major DBMS vendors provide uphold for different types of clustering with different capabilities and requirements. For example, DB2 for z/OS provides shared-disk clustering with its Data Sharing and Parallel Sysplex capabilities; DB2 on non-mainframe platforms uses shared-nothing clustering. Oracle’s real Application Clusters provide shared-disk clustering.

    For most users, the primary capitalize of clustering is the enhanced availability that accrues by combining processors. In some cases, clustering can serve an enterprise to achieve five-nines (99.999 percent) availability. Additionally, clustering can exist used for load balancing and failover.

    DBMS Proliferation

    As a rule of thumb, create a policy (or at least some simple guidelines) that must exist followed before a current DBMS can exist brought into the organization. Failure to accomplish so can antecedent a proliferation of different DBMS products that will exist difficult to support. It can furthermore antecedent confusion regarding which DBMS to exercise for which evolution effort.

    As mentioned earlier, there is a plethora of DBMS vendors, each touting its benefits. As a DBA, you will exist bombarded with marketing and sales efforts that attempt to convince you that you exigency another DBMS. Try to resist unless a very compelling intuition is given and a short-term return on investment (ROI) can exist demonstrated. Even when confronted with valid reasons and auspicious ROI, exist positive to double-check the arguments and ROI calculations. Sometimes the reasons specified are outdated and the ROI figures accomplish not pinch everything into account—such as the additional cost of administration.

    Remember, every DBMS requires database administration support. Moreover, each DBMS uses different methods to execute similar tasks. The fewer DBMS products installed, the less complicated database administration becomes, and the better your chances become of providing efficient data management resources for your organization.

    Hardware Issues

    When establishing a database environment for application development, selecting the DBMS is only share of the equation. The hardware and operating system on which the DBMS will race will greatly impact the reliability, availability, and scalability (RAS) of the database environment. For example, a mainframe platform such as an IBM zEC12 running z/OS will probably provide higher RAS than a midrange IBM xSeries machine running AIX, which in revolve will probably exceed a Dell server running Windows. That is not to express everything should race on a mainframe; other issues such as cost, experience, manageability, and the needs of the applications to exist developed must exist considered. The bottom line is that you must exist positive to factor hardware platform and operating system constraints into the DBMS selection criteria.

    Cloud Database Systems

    Cloud computing (see the sidebar) is increasing in usage, especially at diminutive to medium-size businesses. A cloud implementation can exist more cost-effective than building an entire local computing infrastructure that requires management and support.

    A cloud database system delivers DBMS services over the Internet. The trade-off essentially comes down to trusting a cloud provider to store and manage your data in return for minimizing database administration and maintenance cost and effort. Using cloud database systems can enable organizations, especially smaller ones without the resources to invest in an enterprise computing infrastructure, to focus on their traffic instead of their computing environment.

    By consolidating data sources in the cloud, it is workable to better collaboration among partners, fork offices, remote workers, and mobile devices, because the data becomes accessible as a service. There is no exigency to install, set up, patch, or manage the DBMS software because the cloud provider manages and cares for these administrative tasks. Of course, the downside is that your data is now stored and controlled by an external agent—the cloud provider. Another inherent risk of cloud computing is the possibility of nefarious agents posing as legitimate customers.

    An example of a cloud database platform is Microsoft SQL Azure. It is built on SQL Server technologies and is a component of the Windows Azure platform.

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