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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
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Vendor appellation : IBM
: 142 real Questions

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IBM IBM System and Administration:

main European corporations opt for IBM Blockchain to force Innovation | killexams.com real Questions and Pass4sure dumps

No outcomes discovered, are attempting unusual key phrase!The famous fiscal institution of the Republic of Azerbaijan and IBM are establishing a Digital Identification system in response to Hyperledger cloth, A Linux basis framework, to examine the reliability of the docume...

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No outcome discovered, are attempting unusual key phrase!IBM decline will continue until board makes ... s earnings was generated via its middling on-premise server operating-system business, which isn’t at once tied to the cloud and has a slowing ...

IBM’s blockchain-powered AR gaming system is dangerously flawed | killexams.com real Questions and Pass4sure dumps

You can breathe difficult-pressed to factor to a provider that productively combines the spend of augmented fact (AR), desktop discovering, and blockchain – but that doesn’t emerge to hassle IBM.

The commerce has filed a patent application for a posh AR gaming equipment, designed to pilot players away from doubtlessly unhealthy actual areas. To this end, IBM intends to spend machine getting to know and blockchain tech to construct this unusual system.

however does this strategy develop sense? well, let’s dig into into the patent file.

inner the patent

in response to the patent (spotted by using CCN), the gadget will notify gamers any time they fashion a local marked as undesirable (like “high risk places, culturally sensitive places, locations marked by way of house owners”). IBM hopes this may support avid gamers navigate away from situation.

The documentation notes that as soon as players abide agreed to having their station statistics tracked, the system might breathe in a position to compare clients’ station against a database of physical spaces marked as undesirable. each time a player enters such areas, the system will notify clients they’re going for walks on potentially risky turf.

due to the fact the litany of trespassing incidents they saw during the Pokémon depart craze, making a system that directs avid gamers away from restrained areas sounds dote a proper suggestion on paper. however there are a few technological challenges to rob note of – birth with IBM’s spend of blockchain.

The rigor with the usage of blockchain

IBM says it intends to develop spend of blockchain to set up “have confidence” about “actual world places” and stop malicious avid gamers from offering deceptive station facts for private positive factors.

“A blockchain is a allotted database that maintains a constantly-transforming into checklist of data facts hardened against tampering and revision,” the patent reads. “The blockchain gear securely tracks, shops, and keeps vicinity related transactions together with different location metadata.”

but there are some pretty magnificient question marks with this implementation.

For one, using blockchain does not with the aid of itself present protection to towards the possibility of recording deceptive (or straight-up false) data. It purely implies that as soon as recorded, statistics may breathe immutable (until the blockchain has backdoors developed into it). but that doesn’t imply the system might breathe resistant to manipulation.

as an instance, malicious actors will still breathe in a position to feed mistaken location facts to IBM’s blockchain-powered equipment, until it besides comes with oracles – sensors chiefly designed to validate movements that rob location outdoor of a blockchain. Worryingly, there is no mention of an oracle implementation in IBM’s patent application.

To create this sort of “have faith,” IBM will deserve to boost sensors that may safely ascertain the authenticity of any district records within the just world earlier than storing it on its own blockchain.

Blockchainifying computing device researching

much more puzzling is IBM’s draw to spend desktop gaining erudition of to interpret blockchain-saved vicinity statistics and warn users of erudition possibility.

The patent suggests that, because of superior neural networks, the device could breathe able to conducting possibility prediction projects with “various levels of confidence.” these predictions will then breathe forwarded to any clients who should breathe would becould very well breathe in danger, or in the vicinity of risky areas.

IBM aspects out clients will even breathe able to spend this performance to specify what they'd want to breathe covered from. for example, a diabetic player can put a question to the gadget to notify them every time they’ve strayed away from any viable help.

however devoid of oracles in region, it may betray too handy for cheaters to maltreat the device. indeed, a malicious participant could label protected areas as “harmful” to maintain competing avid gamers away from certain locations. Or on the other hand, scammers could maltreat the gear to imprint in any other case risky areas as “protected,” and trap unsuspecting victims into risky instances.

IBM and the blockchain

All these concerns apart, IBM has yet to point out how severe it is ready its patent. in any case, blockchain might now not breathe the most suitable option for this specific utility.

As is the case with most patent filings, there is no telling when – if ever – IBM will greenlight the concept for building. but when it does, it more advantageous tackle these considerations before it puts someone at risk.

And for what it’s worth, I essentially hope IBM’s other blockchain-connected initiatives are a slight more advantageous concept out.

published November 5, 2018 — 17:28 UTC

mix

000-911 System and Administration: Informix Dynamic Server

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

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Vendor appellation : IBM
: 142 real Questions

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System and Administration: Informix Dynamic Server

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IBM and AGS announce Availability of unusual Solutions for Informix Dynamic Server | killexams.com real questions and Pass4sure dumps

SOURCE: IBM

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 unusual 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 unusual 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 ingredient 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 capacity to handle massive volumes of complicated data at very towering speeds. IDS 11 is besides the industry's first data server to provide clustered data centers with continuous data availability and calamity recovery regardless of the geographic location or distance between backup data seat sites.

Server Studio and Sentinel together form a powerful infrastructure of multi-platform tools that succor both seasoned database professionals and novices alike manage IBM Informix data server environments with an unprecedented ease and productivity. indigenous support of IDS 11 unusual functionality in the Release 6.1 of Server Studio and Sentinel further enhances capacity 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 unusual Release 6.1 of Server Studio and Sentinel will succor protect the investment that their customers abide made in their Informix data server infrastructures."

The versatility, affluent functionality and ease-of-use provided by Server Studio and Sentinel build on the legendary reliability and simple administration of IDS. The unusual tool set offered by AGS helps companies and organizations ensure that critical database applications remain up and fulfill at peak levels, allowing them to effectively manage change, handle regulatory compliance and assure availability of vital commerce 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 abide been demanding and waiting for. Informix now has very powerful graphical tools that exceed the capabilities of indigenous and third party offerings available for any other database platform. pair this with outstanding technical support and you derive 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 abide simplified and automated many DBA tasks. With these additions, IBM's Informix data servers abide 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 -- sum 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 facile to deploy agent-less architecture equips DBAs with sophisticated diagnostics and remediation facilities which succor pinpoint and resolve the underlying causes of performance bottlenecks and resources contention issues that adversely strike databases' availability and impact discontinue users.

Smaller companies and organizations that attain not abide big IT staffs to manage big data servers infrastructure abide besides 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 tool that I spend every day, and it is exactly what I require 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 magnificient timesavers. I can't imagine working with Informix and not using Server Studio. I won't work 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 work closely on product direction, technology evolution and QA testing of Server Studio and Sentinel.

"We are arrogant 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 unusual 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 breathe extended by purchase of various premium editions available directly from AGS.

Additional information about Server Studio is available at: http://www.ibm.com/software/data/informix/serverstudio/, or http://www.serverstudio.com/products/serverstudio/

Additional information about Sentinel is available at: http://www.ibm.com/software/data/informix/sentinel/, or http://www.serverstudio.com/products/sentinel/

Additional information about Informix Dynamic Server is available at: http://www.ibm.com/software/data/informix/ids/

AGS, Server Studio and Sentinel are trademarks or registered trademarks of Advanced Global Systems, Ltd. For a list of additional AGS trademarks, delight perceive http://www.ags.com

IBM, Informix Dynamic Server and the IBM e-business logo are trademarks or registered trademarks of International commerce Machines Corporation. For a list of additional IBM trademarks, delight perceive www.ibm.com/legal/copytrade.shtml

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


Efficient Vehicle Tracking System Software Solution with Informix Dynamic Server | killexams.com 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 famous to you, sustain 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 sphere 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 sphere 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 type that stores this type of time series 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

    Timestamp

    Longitude

    Latitude

    Fuel

    Speed

    1

    2010-12-01 01:00:00.00000

    72.844060

    19.116280

    85.00

    40.00

    1

    2010-12-01 01:00:10.00000

    72.853800

    19.113470

    84.90

    39.00

    1

    2010-12-01 01:00:20.00000

    72.855000

    19.116560

    84.80

    42.00

    .

    .

    2

    2010-12-01 01:00:00.00000

    72.855370

    19.116570

    100.00

    45.00

    2

    2010-12-01 01:00:10.00000

    72.885120

    19.106000

    99.90

    45.00

    .

    .

    Informix TimeSeries data type approach

    Informix stores time series data in a specialized data type, called TimeSeries, which stores sum the time series data for a particular vehicle in the very row. Informix supports two different types of time series: regular time series that stores the data with a fixed frequency, and irregular time series that stores the data for capricious points in time. A regular time series is the most suitable for a VTS. In a regular time series, the time stamp is stored only once as the inception of the time series and the time stamps of the comfort 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

    1

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

    2

    [(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)

       speed decimal(5,2) - 4(bytes)

    );

    We create an index on the vehicle_number and timestamp columns.

    Suppose they abide 10,000 vehicles to breathe tracked every minute and they requisite to store information for 90 days. Let's compute 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 type 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 type vehicle_tracking_rt

    (

       timestamp datetime year to fraction(5)

       longitude decimal(10,8),

       latitude decimal(10,8),

       speed 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 sum 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 deem few spend cases:

  • Fuel theft information
  • Geo-fence exceptions
  • Total fuel consumption
  • For sum of these spend 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 type performance

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

    Because the TimeSeries data type 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:

    Space

    Performance

    Traditional RDBMS

    77GB

    8.64 million

    Informix TimeSeries type

    25GB

    160,000

    Benefit

    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 fulfill different operations on time series 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 series functions.
  • Application Development

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

    If they want to perceive the middling speed of vehicle every 30 minutes, the RDBMS approach requires a big programming trouble and a performance challenge. Whereas, with the Informix TimeSeries data type, they spend the simple AggregateBy duty to roll-up the information to any required time frequency.

    If they want to perceive the middling speed of vehicle in last 30 days, the best fashion is to examine its running middling (not its regular average). Again, showing the running middling speed of vehicles with the RDBMS approach is a magnificient programming and performance challenge. Whereas with the Informix TimeSeries data type, they spend the simple TSRunningAvg duty with the term and frequency that they want.

    Another basic requisite of VTS is storing location-related information. Location information can breathe in the form 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 way to handle this type of information is by using the Informix spatial data types. Informix spatial data types not only optimally maintain the data, but besides provide built-in routines that better the accuracy and ease the evolution of your solution.

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

    A geo-fence system raises an tocsin if one of the vehicles leaves the fenced district and deviates from its designated route. This might occur 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 supposed 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 requisite 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 hasten the cursor through these 200 rows to check if the current location is within any two points.

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

    Informix spatial data types approach

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

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

    To parade the geo-fence on an online map, they spend 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 requisite to hasten 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 breathe developed using any kind of database as a back-end. But using by the Informix TimeSeries and spatial built-in data types, the very system can breathe 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 increase the frequency of data collection, which means better accuracy.  The built-in functions for the  TimeSeries and spatial data types makes the application evolution task 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 last 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 appellation and is co-author of a red book on Informix security features.


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

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

    This chapter is from the book 

    One of the primary tasks associated with the job of DBA is the process of choosing and installing a DBMS. Unfortunately, many commerce executives and IT professionals without database management background assume that once the DBMS is installed, the bulk of the work is done. The truth is, choosing and installing the DBMS is hardly the most difficult fraction of a DBA’s job. Establishing a usable database environment requires a distinguished 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 hasten multiple DBMS products, from as few as two to as many as ten. For example, it is not uncommon for a big company to spend 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 sum these DBMSs and why?

    Unfortunately, often the respond is that not much thought and planning went into the decision-making process. Sometimes the determination to purchase and install a unusual DBMS is driven by a commerce requisite or a unusual 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 unusual DBMS is often viewed as a requirement for a unusual application. Sometimes a unusual DBMS product is purchased and installed without first examining if the application could breathe successfully implemented using an existing DBMS. Or, more likely, the DBAs know the application can breathe implemented using an existing DBMS but want the organizational power or support to reject a unusual DBMS proposal.

    There are other reasons for the actuality of multiple DBMS platforms in a single organization. Perhaps the company purchased a commercial off-the-shelf application package that does not hasten on any of the current DBMS platforms. Sometimes the determination to buy a unusual DBMS is driven by the want to support the latest and greatest technology. For example, many mainframe shops touching 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 breathe difficult because of incompatibilities among the different DBMSs and the necessity of converting application code. Furthermore, when a unusual DBMS is installed, dilapidated applications and databases are usually not migrated to it. The dilapidated DBMS remains and must continue to breathe supported. This complicates the DBA’s job.

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

    Choosing a DBMS

    The DBA group should set a policy regarding the DBMS products to breathe 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, pick a default DBMS for the platform. discourage aberration from the default unless a compelling commerce case exists—a commerce case that passes the technical inspection of the DBA group.

    Most of the major DBMS products abide 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 pick a DBMS based solely on its capacity to support 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 depart wrong with DB2 or Oracle. Both are favorite and support just about any type of database. Another major player is Microsoft SQL Server, but only for Windows platforms. DB2 and Oracle hasten on multiple platforms ranging from mainframe to UNIX, as well as Windows and even handheld devices. Choosing a DBMS other than these three should breathe done only under specific circumstances.

    Table 2.1. Tier-1 DBMS Vendors

    DBMS Vendor

    DBMS Product

    IBM Corporation

    DB2

    New Orchard Road

    Armonk, NY 10504

    Phone: (914) 499-1900

    Oracle Corporation

    Oracle

    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 magnificient three arrive MySQL, Sybase, Teradata, and Informix. Table 2.2 lists these tier-2 DBMS vendors. sum of these offerings are attribute DBMS products, but their installed foundation is smaller, their products are engineered and marketed for niche purposes, or the companies are smaller with fewer resources than the magnificient Three (IBM, Oracle, and Microsoft), so there is some risk in choosing a DBMS from tier 2 instead of tier 1. However, there may breathe solid reasons for deploying a tier-2 solution, such as the towering 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

    Teradata

    10000 Innovation Drive

    Dayton, OH 45342

    Phone: (937) 242-4030

    MySQL (a subsidiary of Oracle Corporation)

    MySQL

    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, certain predefined needs, and niche roles. If your company is heavily into the open-source software movement, PostgreSQL, EnterpriseDB, or MySQL might breathe viable options. If an remonstrate DBMS is famous for a specific project, you might deem 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 sufficient functionality with minimal risk. A myriad of DBMS products are available, each with certain features that develop 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. refer to Appendix B for a list of DBMS vendors.

    I attain not want it to sound as if the selection of a DBMS is a no-brainer. You will requisite a strategy and a draw for selecting the usurp DBMS for your specific situation. When choosing a DBMS, breathe sure to deem each of these factors:

  • Operating system support. Does the DBMS support the operating systems in spend at your organization, including the versions that you are currently using and draw on using?
  • Type of organization. rob into consideration the corporate philosophy when you pick a DBMS. Some organizations are very conservative and dote to sustain a tight 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 breathe conservative. More-liberal organizations are often willing to deem alternative architectures. It is not uncommon for manufacturing companies, dot-coms, and universities to breathe less conservative. Finally, some companies just attain not trust Windows as a mission-critical environment and prefer to spend 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 breathe 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 breathe useful as a broad indicator of database performance but should not breathe the only determinant when selecting a DBMS. Many of the TPC benchmarks are hasten 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 betray unusual and improved performance measurements for each of the major DBMS products, rendering the benchmark “winners” obsolete very quickly.
  • Scalability. Does the DBMS support 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 include query and analysis tools, data warehousing support tools, database administration tools, backup and recovery tools, performance-monitoring tools, capacity-planning tools, database utilities, and support 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 commerce 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 fulfill 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 determination support 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 breathe institute at the TPC Web site at www.tpc.org (see design 2.1).

  • Technicians. Is there a sufficient supply of skilled database professionals for the DBMS? deem your needs in terms of DBAs, technical support 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 pervade wildly varying prices for their technology. Total cost of ownership should breathe 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 unusual version? Some vendors abide rapid release cycles, with unusual releases coming out every 12 to 18 months. This can breathe proper 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 breathe difficult to support. A rapid release cycle will cause conservative organizations either to upgrade more frequently than they would dote or to live with outdated DBMS software that is unlikely to abide the very level of support 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? Speak with current users to elicit issues and concerns you may abide overlooked. How is support? Does the vendor respond well to problems? attain things generally work as advertised? Are there a lot of bug fixes that must breathe applied continuously? What is the attribute of unusual releases? These questions can breathe answered only by the folks in the trenches.
  • When choosing a DBMS, breathe sure to rob into account the complexity of the products. DBMS software is very complicated and is getting more complicated with each unusual release. Functionality that used to breathe supported only with add-on software or independent programs is increasingly being added as features of the DBMS, as shown in design 2.2. You will requisite to draw for and support sum the features of the DBMS. Even if there is no current requirement for certain features, once you implement the DBMS the programmers and developers will find a intuition to spend just about anything the vendor threw into it. It is better to draw and breathe prepared than to allow features to breathe used without a draw 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 critical to the success of the database applications. One wrong altenative or poorly implemented component of the overall architecture can cause poor 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 commerce and IT experts, rather than a single person or group, should develop the final architecture decision. commerce experts should include 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 breathe included in this team.

    Furthermore, breathe sure that the DBMS you select is usurp for the nature and type of processing you draw to implement. Four levels of DBMS architecture are available: enterprise, departmental, personal, and mobile.

    An enterprise DBMS is designed for scalability and towering performance. An enterprise DBMS must breathe 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 sum the “bells and whistles” available from the DBMS vendor. Multiprocessor support, support 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 small 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 breathe 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 single 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 besides 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 pick a personal DBMS for a departmental or enterprise solution. However, attain not breathe lured by the low cost. A personal DBMS product is suitable only for very small-scale projects and should never breathe 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 type of processing may breathe ill suited for other uses. For example, a personal DBMS is not designed for multiple users, and an enterprise DBMS is generally too complicated for single users. breathe sure to understand the differences among enterprise, departmental, personal, and mobile DBMS software, and pick the usurp DBMS for your specific data-processing needs. You may requisite to pick 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 spend of multiple “independent” computing systems working together as a single, highly available system. A modern DBMS offers clustering support to enhance availability and scalability. The two predominant architectures for clustering are shared-disk and shared-nothing. These names attain a proper job of describing the nature of the architecture—at least at a towering level.

    Shared-nothing clustering is depicted in design 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 breathe dynamically transferred to another system in the cluster. The main advantage of shared-nothing clustering is scalability. In theory, a shared-nothing multiprocessor can scale up to thousands of processors because they attain not interfere with one another—nothing is shared.

    In a shared-disk environment, sum the connected systems share the very disk devices, as shown in design 2.4. Each processor still has its own private memory, but sum the processors can directly address sum 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 gigantic volumes of work. distinguished benefits can breathe obtained with only a few clustered mainframes, while many PC and midrange processors would requisite to breathe 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 hefty 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

    Shared-Disk

    Shared-Nothing

    Quick adaptability to changing workloads

    Can exploit simpler, cheaper hardware

    High availability

    Almost unlimited scalability

    Performs best in a hefty read environment

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

    Data requisite not breathe partitioned

    Data is partitioned across the cluster

    The major DBMS vendors provide support 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 succor an enterprise to achieve five-nines (99.999 percent) availability. Additionally, clustering can breathe used for load balancing and failover.

    DBMS Proliferation

    As a rule of thumb, create a policy (or at least some simple guidelines) that must breathe followed before a unusual DBMS can breathe brought into the organization. Failure to attain so can cause a proliferation of different DBMS products that will breathe difficult to support. It can besides cause confusion regarding which DBMS to spend for which evolution effort.

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

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

    Hardware Issues

    When establishing a database environment for application development, selecting the DBMS is only fraction of the equation. The hardware and operating system on which the DBMS will hasten 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 turn will probably exceed a Dell server running Windows. That is not to squawk everything should hasten on a mainframe; other issues such as cost, experience, manageability, and the needs of the applications to breathe developed must breathe considered. The bottom line is that you must breathe sure 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 small to medium-size businesses. A cloud implementation can breathe more cost-effective than structure 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 recrudesce 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 commerce instead of their computing environment.

    By consolidating data sources in the cloud, it is workable to better collaboration among partners, branch offices, remote workers, and mobile devices, because the data becomes accessible as a service. There is no requisite 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 illustration 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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