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000-919 Informix 11.70 System Administrator

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000-919 exam Dumps Source : Informix 11.70 System Administrator

Test Code : 000-919
Test title : Informix 11.70 System Administrator
Vendor title : IBM
braindumps : 123 real Questions

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IBM Informix 11.70 System Administrator

IBM certified gear Administrator | killexams.com real Questions and Pass4sure dumps

This seller-selected Certification is offered by way of:IBM CorporationArmonk, the enormous apple USAPhone: 914-499-1900Email: This e mail address is being blanketed from spambots. You exigency JavaScript enabled to view it.

skill level: Intermediate                          repute: active

low-priced: $200 (shortest song)               

summary:for individuals who administer IBM programs, including, Lotus, IBM Place of work, WebSphere, DB2 and Informix Dynamic Server, amongst others.

initial requirements:There are 26 tracks to select from. Most tracks require you pass one examination, besides the fact that children, some tracks require you hang a system Administrator certification and pass up to a few exams. tests are $200 each. practising is purchasable but not required.

existing tracks include:WebSphere Message broker (v 6.1, 7.0)WebSphere software Server network Deployment (v 6.1, 7.0, eight.0)WebSphere MQ ( v 6.0, 7.0)WebSphere Commerce (v 7.0)WebSphere Portal (6.1, 7.0)AIX (7)DB2 (9, 10) for z/OSInformix Dynamic Server (v11)Informix (11.70)IBM i (6.1)doc ManagerLotus Sametime (eight.0, eight.5)Lotus Notes and Domino (eight, 8.5)Lotus Quickr (8.5) for DominoLotus Quickr (eight.1) for Lotus DominoLotus Quickr (8.1) for WebSphere PortalLotus Connections (2.5)Connections (3.0)

carrying on with requirements:none

Pay Chart:

See everyone Ibm Certifications

vendor's web page for this certification


Managing Time collection facts with Informix | killexams.com real Questions and Pass4sure dumps

Jul 7, 2011

Vaibhav Dantale

Time succession facts is a sequence of data points usually measured at successive times and might live spaced at uniform time intervals.  Time-stamped facts can too live analyzed to extract significant information or other qualities of the facts.  it could even live used to forecast future movements in accordance with universal previous movements.  Time succession facts allows for purposes similar to economic forecasting, census evaluation and forecasting, fleet management, stock market evaluation, and prudent energy metering.

because it is time-stamped, time succession data has a several interior constitution that differs from relational statistics.  additionally, many functions corresponding to sensible metering shop statistics at frequent intervals that require great storage ability.  For these factors, it is not satisfactory to control time succession counsel the utilize of the conventional relational approach of storing one row for every time sequence entry.  Doing so creates efficiency challenges as the information volumes grow exponentially.  Some relational databases tender solutions to ply the performance problem however compromise on storage.  Some non-relational solutions address the storage and performance concerns however endure from obstacles reminiscent of exigency of generality, extendibility, and interoperability.

therefore, efficient time succession records management requires a solution that reduces storage, ensures high efficiency, is handy to extend, and interoperates with other relational information and different products.  IBM's Informix TimeSeries feature provides an retort to these complications with breakthrough expertise.

Time succession technology has been a confirmed expertise with Informix for 15 years, and with eleven.70,  it comes with the server free of can charge. at first, the time sequence expertise turned into used within the fiscal markets (for time stamped information such as stock ticks). Now, with the modernization of power and utilities trade, with superior metering infrastructures (AMIs), and smart grid initiatives, the time sequence potential is discovering a different opening to exploit the meter or sensor facts for utility agencies.

The Informix TimeSeries feature is a combination of a novel time succession records class and a huge set of in-build analytics.  It reduces the storage requirement by using greater than 50%, improves efficiency with the aid of orders of magnitude, and improves utility edifice productiveness when in comparison to a relational approach.  because the time succession information classification is a local facts ilk in Informix, administrative overhead and researching application is minimal. Informix TimeSeries too interoperates well with different relational components and other products similar to Cognos, Streams, and Optim.

major Challenges With a Relational strategy

The natural relational approach outlets one row for anytime succession entry resulting in the storage of redundant suggestions.  for instance, smart meter applications could exigency to assemble meter readings every 15 minutes for thousands and thousands of meters.  In a in basic terms relational system a meter_id and timestamp can live kept with each and every meter list.  To enhance retrieval time a composite index on the meter_id column and the timestamp column (desk 1.1) could live required.  This approach results in massive quantities of facts that adds administrative overhead and performance challenges, doubtless requiring further hardware investments.  These challenges commonly become major street blocks for additional enhancements in retort and capabilities.

desk 1.1: illustration of facts saved in ordinary RDBMS method

Meter_id

Timestamp

present

Voltage

Resistance

1

2010-12-01 01:00:00.00000

4

one hundred sixty

40

1

2010-12-01 01:00:10.00000

four.5

155

35

1

2010-12-01 01:00:20.00000

5

one hundred sixty five

33

.

.

.

.

.

.

.

.

2

2010-12-01 01:00:00.00000

four

a hundred seventy five

44

2

2010-12-01 01:00:10.00000

four.5

one hundred sixty

35

.

.

.

.

.

.

.

.

because of the challenges of managing and processing huge information the frequency that statistics is amassed may should live less confidential than favored, for instance, every half hour, in order to cleave back the amount of facts it truly is stored.

yet another major challenge is to role time-based mostly analytical operations on relational statistics. many of the time, an utility developer ought to utilize complicated and proprietary application sterling judgment to accomplish time-primarily based evaluation.  reasonably frequently these services are not purchasable in the native SQL language that almost everyone databases speak.

The Informix manner to Time succession facts

 IBM Informix offers a novel point of view with the implementation of time collection as a native records classification.

The Informix TimeSeries records class makes utilize of a unique row for each tag/tick identifier, reminiscent of a meter, and appends subsequent readings from the equal meter to that row, as shown in table 1.2. The records is ordered physically on disk.  therefore, the variety of rows in a TimeSeries table is a similar because the variety of meters being monitored.  No index is required on the information since it's stored in sorted order.   An index could live created on the meter_id column or some other non-TimeSeries column.  consequently, the storage requirement is decreased via practically 50-eighty% in comparison to a traditional relational approach, and performance is more advantageous by way of an order of magnitude.  here's as a result of not having to create an index on the statistics, not duplicating the Meter_id on every row, and different efficiencies.

table 1.2: representation of records kept in an Informix TimeSeries column

Meter_id

TimeSeries column

1

[(4,160,40), (4.5,155,35)....]

2

[(4,175,44), (4.5,160,35)..]

..

..

sensible metering is an instance where records is stored with at a regular fastened frequency and therefore it is regarded to live an everyday time sequence. however there are positive options the Place they deserve to manage counsel for arbitrary points in time, corresponding to adventure data. Informix helps irregular time succession for such circumstances.  Informix supports irregular time sequence just as successfully because it does dispassionate time series.

common time collection utilize the concept of offset; they acquire got a mapping between the time point linked to an constituent and its Place relative to the delivery of the time sequence. individual timestamps are not saved in common time series; instead, they are computed from the element's offset.  because of this Informix is able to store eleven bytes per checklist in comparison to relational storage.

How does Informix store time sequence suggestions? How is it accessed? How is the frequency of facts assortment defined?  How is incoming statistics validated?

To accumulate the reply for everyone these questions, let's seem on the Informix time succession objects.

Container: A container is an belt created to hang time succession records.  The records is stored in the container clustered via identity (as an instance meter id) and the sorted by means of time.  dissimilar time-sequence can too live saved in a unique container.  A container is created via executing an SQL command.

Calendar: The calendar defines the frequency of records assortment and times when statistics may noiseless or should not live accrued.  It permits distinctive mixtures of frequencies.  for example, if you exigency to assemble information each day in the week accept Saturday and Sunday, you define the calendar as "5 on, 2 off, day".  The incoming data is validated instantly towards the described calendar.

SQL Routines and APIs: Informix provides over 80 time collection-specific SQL routines to accomplish SQL operations.  It additionally provides a group of C APIs and JAVA APIs to strengthen your personal analytics.  The TimeSeries SQL routines provided operate operations such as developing, aggregating, moving averages, and arithmetic capabilities on one or more time collection as well as add data to or change information in a time sequence

virtual desk Interface: A view of the time sequence statistics is too given that makes time succession statistics view dote in a conventional relational schema.  This view is referred to as the digital desk Interface (VTI) and shows time succession information in relational structure.  This view makes it possible for universal SQL operations to live performed on the underlying time succession records.  note that a VTI table is just a view and does not really retain any facts at once.  virtual tables may too live used in interoperability with different products.

TimeSeries desk

Meter_id

TimeSeries column

1

[(4,160,40), (4.5,155,35)....]

2

[(4,175,44), (4.5,160,35)..]

..

..

virtual desk

Meter_id

Timestamp

current

Voltage

Resistance

1

2010-12-01 01:00:00.00000

four

160

forty

1

2010-12-01 01:00:10.00000

four.5

155

35

1

2010-12-01 01:00:20.00000

5

a hundred sixty five

33

.

.

.

.

.

.

.

.

2

2010-12-01 01:00:00.00000

4

one hundred seventy five

forty four

2

2010-12-01 01:00:10.00000

4.5

a hundred and sixty

35

.

.

.

.

.

.

.

.

 advantages of Informix

much less Storage: due to the minuscule index dimension and the selected means of storing the timestamp value, the storage requirement is significantly reduced. Storage discount will too live up to 80% in the case of dispassionate time collection and as much as 30% in the case of irregular time series.

more desirable efficiency: since the index dimension is minuscule and the information is ordered corporal on disk, an abominable lot less I/O is required to select facts. This effects in extraordinarily immoderate efficiency, in each importing and retrieving statistics.  additionally, due to the fact that less disk space is required, administration initiatives dote backing up and purging statistics are quicker.

This table illustrates the results of an actual customer proof-of-thought comparing Informix towards a different everyday database:

other Database

Informix

Load time for 1,000,000 meters

7 hours

18 minutes

Time to hasten required experiences

2 - 7 hours

25 sec to 6 min

Storage required for 1 Million Meters

1.3 TB

350 GB

total imbue of possession: TCO is a powerful deal diminish on the grounds that there is not any further administration, no further license charge, and no lengthy learning curve.  On the contrary, the effects exhibit huge disk belt saving and intensely immoderate efficiency.

sooner software development: builders can count on latest developed-in SQL routines, C APIs and JAVA APIs for remedy and quicker development.

Interoperability: The Informix TimeSeries statistics type, being a local facts classification, offers interoperability with database points in addition to different products with no further tweaking.

summary

The Informix time collection strategy is a breakthrough know-how for managing and examining time collection statistics, offering different advantages of enormous reductions on disk storage and very immoderate efficiency.  The built-in SQL routines and extensions of C APIs and JAVA APIs allow clients to boost and comprise their personal application common sense into the database engine and better faster.  since it is convenient to study and use, Informix is being widely approved by way of the utility neighborhood as meeting time succession records administration requirements, in comparison with different database and non-RDBMS options.


evaluating the excellent database safety tools | killexams.com real Questions and Pass4sure dumps

The purpose of database safety gear is to provide more finished protection of relational database administration...

equipment offerings, beyond the safety elements that are integrated into these items. Some of these add-ons bring excessive-conclusion data, evaluation and auditing tools as well. The enchantment of database security gear is that they execute not alter the database or software, and they effect in barely minimal performance impacts.

this text compares the strengths and weaknesses of a number of database protection tools: database pastime monitoring (DAM), database evaluation and transparent database encryption items. The companies and products addressed listed here (shown in birthright here desk) are everyone enormously rated and leaders within the database protection sector.

Fortinet FortiDB, IBM Guardium, Imperva SecureSphere and Vormetric Inc. are primarily equipment-driven items. The McAfee items (Database exercise Monitoring and Vulnerability manager for Databases), HP safety Voltage, Protegrity united states of america Inc.  and Trustwave DbProtect are primarily software-primarily based items, and Oracle superior safety is an altenative with Oracle Database enterprise version.

elements

The database recreation monitoring items acquire similar characteristic units: audit coverage compliance (price Card industry records safety usual, medical health insurance Portability and Accountability Act, Gramm-Leach-Bliley Act and so on), transaction blocking off, separation of obligations, centrally managed security, superior reporting and extra.

One differentiating constituent is the underlying monitoring technology -- how the DAM gathers suggestions -- which is customarily by way of community monitoring, far off monitoring or native agents. reckoning on a selected vendor's know-how, the enterprise may caution that SQL sniffing performed through community home gear or native agents offers restrained visibility and can for this judgement leave out some essential recreation. a further may additionally sing that server enter/output, network load and database performance is plagued by agents wanting to cache traffic to the local disk or ship site visitors over the community for analysis. definitely, trendy agents are light-weight and usually acquire an effect on efficiency by way of below 5%, which is commandeer by trade specifications. however there isn't a legitimate approach to compare the efficiency of a number of DAMs aside from to check them in your own atmosphere.

The types of supported databases is another aspect to believe. Most DAM products can panoply screen Oracle, Microsoft SQL Server, IBM DB2, MySQL and Sybase, but some supply champion for many extra databases. Imperva SecureSphere adds IBM IMS, IBM Informix, IBM Netezza, MongoDB, PostgreSQL, development OpenEdge and Teradata to its list. youngsters, carriers always upgrade their items to live more inclusive and don't everyone the time acquire the most existing counsel on their sites. So live positive to interrogate each dealer for a latest listing of supported databases.

Database assessment add-on tools examine database configuration settings and patch stages to find vulnerabilities, and a few integrate with DAM products for alerting and exercise blocking off. assessment add-ons can too live essential to database safety because of the depth of inspection and reporting they present, which is often missing in database functions. Fortinet FortiDB, Trustwave DbProtect and Imperva SecureSphere comprehend vulnerability management for databases, whereas IBM Guardium and McAfee sell it as a divide product.

For transparent database encryption, end-to-end coverage, centralized coverage management, scalability and minimal efficiency impact are essential criteria. in this recognize, Vormetric and HP safety Voltage shine. both products are enormously scalable and supply effective records encryption. Vormetric gives file system and quantity encryption as well as entry manage. Voltage's records-centric security encrypts any shape of facts factor (fee card numbers, individually identifiable information), which contains variable-length strings, numbers, dates, and extra. Vormetric edges out Voltage related to the attain of supported databases and platforms -- Vormetric can encrypt very nearly any category of database on windows, Linux and Unix systems.

Oracle offers table- and column-stage protection, and Protegrity secures records on the software, file, database and column stages.

Ease of deployment and use

equipment-based items, through design, mind to live fairly convenient to deploy. That observed, the extra knotty products, such as IBM Guardium and Imperva SecureSphere, can remove weeks to set up and effectively configure.

Fortinet FortiDB home equipment, nonetheless, accumulate high ratings for simple deployment and setup -- groups can start monitoring a database inside an hour of unpacking the field. The main configuration steps accommodate specifying an IP address range, making a altenative on the ilk of database server to computer screen, identifying a port range, and getting into a username and password. Auto discovery takes it from there.

For the utility-primarily based database recreation monitoring and assessment products, the McAfee products setup is wizard-pushed and extremely handy to configure. The Trustwave DbProtect dashboard, meanwhile, is crisp and neatly-equipped, and the product offers super efficiency charts as well as operational and compliance stories.

setting up transparent database encryption is a fancy technique. Vormetric, Voltage and Protegrity require installation and configuration of a management console and agents. as a result of Oracle superior protection is an altenative in Oracle Database commerce edition, installation is minimal. besides the fact that children, transparent database encryption requires colossal coverage configuration and keystore setup. during this respect, Vormetric, Voltage and Protegrity create utilize of graphical person interfaces (GUIs), whereas Oracle configuration is performed at the command-line interface or via a GUI.

As for demo and assessment units, everyone the companies let handicap consumers are trying an assessment unit in their personal environment. Fortinet and Vormetric additionally present online demos. related to HP security Voltage, groups should accumulate involved with a revenue rep to request a demo -- unlike the other providers, the altenative to request a demo isn't simply attainable from the HP site. companies can download a visitation of McAfee Database endeavor Monitoring and McAfee Vulnerability manager for Databases for free.

Pricing

Database protection gear pricing varies vastly, in each dollar quantity and how the product is bought or licensed.

related to database monitoring and evaluation items, Fortinet offers the most straightforward pricing. as an example, Fortinet FortiDB appliances imbue $15,000 to $37,000, and annual upgrade subscriptions and more advantageous cheer add $three,seven hundred to over $9,000 to the cost.

against this, Imperva SecureSphere Database endeavor Monitoring is licensed via database transaction extent, so charge varies based on the atmosphere. With this mannequin, a consumer purchases simplest what's vital and might scale up or down as database activity monitoring wants change. The platform requires a virtual or hardware appliance and administration server; the imbue of a low-end hardware appliance on my own starts around $30,000 and scales as much as over $85,000 for larger-end gadgets.

The enchantment of a database protection tool is that it does not alter the database or utility, and it effects in only minimal performance impacts.

one of the vital products, dote McAfee Database pastime Monitoring and IBM Guardium, foundation pricing on the variety of processor cores. In these circumstances, the corporations prefer handicap clients to contact the vendor or a reseller for selected pricing.

Pricing for transparent encryption is equally diverse. for example, Protegrity Database Protector is likely one of the maximum priced products but is fairly clear-cut. Protegrity licenses its product for a brace of several types of databases. The Protegrity Oracle Database Protector, for example, costs about $17,000 yearly for a two-yr license, or $45,000 for a perpetual license. And the administration console -- commercial enterprise safety Administrator -- costs about $32,000 (two-year time period) to $84,500 (perpetual) for a unique atmosphere.

In evaluation, Oracle advanced protection pricing is tons extra complicated. The company sells Named person Plus agreements for smaller environments or commerce edition per-core licenses for bigger environments. under a Named person Plus settlement, clients exigency to buy 25 licenses per processor, which cost $300 total, plus $sixty six for utility updates, licensing and aid. commerce version per-core licensing runs $15,000, plus $3,300 for software updates, licensing and support. noticeably, that you can order Oracle advanced protection licenses without delay from the Oracle site.

aid

all the corporations present regular cheer by the utilize of cell, e mail or a client portal, as well as free access to web skills bases. conventional assist is typically Monday via Friday everyone over enterprise hours with a 4-hour response time. top class assist with 24x7x365 access and quite a lot of levels of response time is accessible, customarily at thousands of greenbacks per kit.

Conclusions

funds is regularly the basic criterion in any protection product, but database protection equipment' deciding to buy metrics attain significantly. identifying components are whether an add-on product has everyone imperative required aspects, how it performs in a company's environment, and the way a entire lot application is required to deploy and retain the product.

begin the seller vetting manner with a circumstantial record of facets that your company requires, then check with vendor reps, accumulate contrast devices or visitation application, check the products in-house, and request remedy pricing to your positive ambiance. Then weigh the costs against completeness of characteristic set, ease of utilize and efficiency.

Fortinet and McAfee rank immoderate on ease of utilize and value for database monitoring and evaluation, however they could now not meet everyone of a company's necessities. involving transparent database encryption, Vormetric, HP cozy Voltage and Protegrity allotment out Oracle advanced safety regarding ease of utilize and/or pricing simplicity.

as soon as an organization determines a short listing of items, deem each vendor's sturdiness in the market. The database safety sector has skilled lots of churn over the ultimate two to three years, with some businesses making a brace of strategic purchases and forming partnerships with cloud service providers, while others were scooped up with the aid of the competitors. It can live exemplar to preclude companies that are being acquired or are struggling to develop.


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Informix 11.70 System Administrator

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IBM Certified System Administrator | killexams.com real questions and Pass4sure dumps

This vendor-specific Certification is Offered By:IBM CorporationArmonk, NY USAPhone: 914-499-1900Email: This email address is being protected from spambots. You exigency JavaScript enabled to view it.

Skill Level: Intermediate                          Status: Active

Low Cost: $200 (shortest track)               

Summary:For individuals who administer IBM systems, including, Lotus, IBM Workplace, WebSphere, DB2 and Informix Dynamic Server, among others.

Initial Requirements:There are 26 tracks to select from. Most tracks require you pass one exam, however, some tracks require you hold a System Administrator certification and pass up to three exams. Exams are $200 each. Training is available but not required.

Current tracks include:WebSphere Message Broker (v 6.1, 7.0)WebSphere Application Server Network Deployment (v 6.1, 7.0, 8.0)WebSphere MQ ( v 6.0, 7.0)WebSphere Commerce (v 7.0)WebSphere Portal (6.1, 7.0)AIX (7)DB2 (9, 10) for z/OSInformix Dynamic Server (v11)Informix (11.70)IBM i (6.1)Document ManagerLotus Sametime (8.0, 8.5)Lotus Notes and Domino (8, 8.5)Lotus Quickr (8.5) for DominoLotus Quickr (8.1) for Lotus DominoLotus Quickr (8.1) for WebSphere PortalLotus Connections (2.5)Connections (3.0)

Continuing Requirements:none

Pay Chart:

See everyone Ibm Certifications

Vendor's page for this certification


Shiloh, W2K Advanced Server accumulate sober Test | killexams.com real questions and Pass4sure dumps

News

Shiloh, W2K Advanced Server accumulate sober Test
  • By Scott Bekker
  • October 18, 1999
  • Hardware OEMs are releasing Transaction Processing Performance Council benchmarks based on beta versions of Microsoft Corp.’s SQL Server and Windows 2000 Advanced Server.

    Over the last two weeks, Hewlett-Packard Co., Compaq Computer Corp. and Unisys Corp. (www.unisys.com) submitted results to the TPC (www.tpc.org). everyone the results were for a novel decision champion benchmark called the TPC-H, and each came proximate to the performance of a Sun Microsystems Co.-Informix Corp. result – the only other result posted so far.

    "It would live an understatement to sing that Microsoft is pretty excited about the performance we’ve achieved for this benchmark," says Barry Goffe, a product manager for SQL Server, Microsoft’s flagship relational database management system.

    Officially, each OEM’s submission to the TPC lists the RDBMS as SQL Server 7.5. Goffe says the listing doesn’t constitute an "admission" by Microsoft that SQL Server 7.0’s successor, known by its code title of "Shiloh," will live named SQL Server 7.5. TPC rules don’t permit product code names. Goffe says Microsoft hasn’t finalized what it will muster the RDBMS when it comes out in mid-2000.

    Shiloh just entered its beta testing facet a few weeks ago. About 500 customers and partners are putting the database through its paces. A public beta is planned for early 2000.

    The OEMs ran the benchmarks on eight-way servers based on Intel’s Profusion chipset. The results continue a thrust by hardware OEMs to panoply their prowess with Profusion, the first eight-way chipset that has delivered linear scalability for Windows NT on the Intel platform. Unisys opened the Profusion benchmarking in June by publishing results under the TPC-C, an Online Transaction Processing (OLTP) measure.

    The TPC-H is one of two descendants of the retired TPC-D benchmark, which had measured the performance of decision champion database systems. The emergence of a technology known as "materialized views" led to radically improved performance on the TPC-D.

    With a materialized view, a database administrator who knows what data users will query can set up a table that constantly gets that data from other online transactional tables as they are updated.

    Microsoft, which did not champion materialized views in SQL Server 7.0 but will provide the feature in Shiloh, and others complained that materialized views robbed the TPC-D benchmark of its value for measuring ad hoc queries.

    The result is two novel decision champion benchmarks: TPC-H for ad hoc queries and TPC-R for reporting. TPC-R permits the utilize of materialized views. So far, only NCR Corp. has published a TPC-R result.

    Sun-Informix posted the first TPC-H result in July: 1,280 queries per hour (QphH) at a charge per QphH of $816 on a Sun Enterprise 4500 system with 12 processors running Informix Dynamic Server AD.

    That notice was the sole TPC-H result until this month, when the hardware OEMs began publishing their Windows 2000/Profusion/Shiloh results.

    HP was first on Oct. 4 with 1,125 QphH at $253/QphH on a NetServer LXr 8500. Unisys followed Oct. 12 with 1,194 QphH at $288/QphH on an Aquanta ES5085R. On Oct. 14, Compaq delivered 1,233 QphH at $285/QphH on a ProLiant 8500.

    As a group the NT/Intel systems provide 88 percent-96 percent of the performance of the Sun-Informix system at 31 percent-35 percent of the price.

    Compaq, HP and Unisys each listed April 3, 2000 as the availability date for a complete system. -- Scott Bekker

    About the Author

    Scott Bekker is editor in chief of Redmond Channel partner magazine.


    Managing Time succession Data with Informix | killexams.com real questions and Pass4sure dumps

    Jul 7, 2011

    Vaibhav Dantale

    Time succession data is a sequence of data points typically measured at successive times and may live spaced at uniform time intervals.  Time-stamped data can live analyzed to extract meaningful statistics or other characteristics of the data.  It can too live used to forecast future events based on known past events.  Time succession data enables applications such as economic forecasting, census analysis and forecasting, fleet management, stock market analysis, and smart energy metering.

    Because it is time-stamped, time succession data has a special internal structure that differs from relational data.  Additionally, many applications such as smart metering store data at frequent intervals that require massive storage capacity.  For these reasons, it is not adequate to manage time succession information using the traditional relational approach of storing one row for each time succession entry.  Doing so creates performance challenges as the data volumes grow exponentially.  Some relational databases tender solutions to address the performance issue but compromise on storage.  Some non-relational solutions address the storage and performance issues but suffer from limitations such as exigency of generality, extendibility, and interoperability.

    Hence, efficient time succession data management requires a solution that reduces storage, ensures high performance, is simple to extend, and interoperates with other relational information and other products.  IBM's Informix TimeSeries feature provides a solution to these problems with breakthrough technology.

    Time succession technology has been a proven technology with Informix for 15 years, and with 11.70,  it comes with the server free of charge. Originally, the time succession technology was used in the fiscal markets (for time stamped data such as stock ticks). Now, with the modernization of energy and utilities industry, with advanced metering infrastructures (AMIs), and smart grid initiatives, the time succession capability is finding a unique opening to manage the meter or sensor data for utility companies.

    The Informix TimeSeries feature is a combination of a novel time succession data ilk and a great set of in-build analytics.  It reduces the storage requirement by more than 50%, improves performance by orders of magnitude, and improves application development productivity when compared to a relational approach.  Because the time succession data ilk is a native data ilk in Informix, administrative overhead and learning application is minimal. Informix TimeSeries too interoperates well with other relational components and other products such as Cognos, Streams, and Optim.

    Major Challenges With a Relational Approach

    The traditional relational approach stores one row for every time succession entry resulting in the storage of redundant information.  For example, smart meter applications may exigency to collect meter readings every 15 minutes for millions of meters.  In a purely relational system a meter_id and timestamp would live stored with each meter record.  To better retrieval time a composite index on the meter_id column and the timestamp column (Table 1.1) would live required.  This approach leads to massive amounts of data that adds administrative overhead and performance challenges, likely requiring additional hardware investments.  These challenges often become major road blocks for further enhancements in solution and services.

    Table 1.1: Representation of data stored in traditional RDBMS approach

    Meter_id

    Timestamp

    Current

    Voltage

    Resistance

    1

    2010-12-01 01:00:00.00000

    4

    160

    40

    1

    2010-12-01 01:00:10.00000

    4.5

    155

    35

    1

    2010-12-01 01:00:20.00000

    5

    165

    33

    .

    .

    .

    .

    .

    .

    .

    .

    2

    2010-12-01 01:00:00.00000

    4

    175

    44

    2

    2010-12-01 01:00:10.00000

    4.5

    160

    35

    .

    .

    .

    .

    .

    .

    .

    .

    Due to the challenges of managing and processing massive data the frequency that data is collected might exigency to live less frequent than desired, for example, every half hour, in order to reduce the amount of data that is stored.

    Another major challenge is to accomplish time-based analytical operations on relational data. Most of the time, an application developer must utilize knotty and proprietary program logic to accomplish time-based analysis.  Quite often these functions are not available in the native SQL language that most databases speak.

    The Informix Approach to Time succession Data

     IBM Informix offers a novel perspective with the implementation of time succession as a native data type.

    The Informix TimeSeries data ilk uses a unique row for each tag/tick identifier, such as a meter, and appends subsequent readings from the same meter to that row, as shown in Table 1.2. The data is ordered physically on disk.  Hence, the number of rows in a TimeSeries table is the same as the number of meters being monitored.  No index is required on the data since it is stored in sorted order.   An index may live created on the meter_id column or any other non-TimeSeries column.  As a result, the storage requirement is reduced by almost 50-80% compared to a traditional relational approach, and performance is improved by an order of magnitude.  This is due to not having to create an index on the data, not duplicating the Meter_id on every row, and other efficiencies.

    Table 1.2: Representation of data stored in an Informix TimeSeries column

    Meter_id

    TimeSeries column

    1

    [(4,160,40), (4.5,155,35)....]

    2

    [(4,175,44), (4.5,160,35)..]

    ..

    ..

    Smart metering is an instance where data is stored with at a regular fixed frequency and hence it is considered to live a regular time series. But there are positive solutions where they exigency to manage information for arbitrary points in time, such as event data. Informix supports irregular time succession for such cases.  Informix supports irregular time succession just as efficiently as it does regular time series.

    Regular time succession utilize the concept of offset; they acquire a mapping between the time point associated with an constituent and its position relative to the start of the time series. Individual timestamps are not stored in regular time series; instead, they are computed from the element's offset.  Because of this Informix is able to deliver 11 bytes per record compared to relational storage.

    How does Informix store time succession information? How is it accessed? How is the frequency of data collection defined?  How is incoming data validated?

    To accumulate the retort for everyone these questions, let's view at the Informix time succession objects.

    Container: A container is a space created to hold time succession data.  The data is stored in the container clustered by id (for instance meter id) and the sorted by time.  Multiple time-series can live stored in a unique container.  A container is created by executing an SQL command.

    Calendar: The calendar defines the frequency of data collection and times when data should or should not live collected.  It allows different combinations of frequencies.  For example, if you want to collect data every day in the week accept Saturday and Sunday, you define the calendar as "{5 on, 2 off}, day".  The incoming data is validated automatically against the defined calendar.

    SQL Routines and APIs: Informix provides over 80 time series-specific SQL routines to accomplish SQL operations.  It too provides a set of C APIs and JAVA APIs to develop your own analytics.  The TimeSeries SQL routines provided accomplish operations such as creating, aggregating, moving averages, and arithmetic functions on one or more time succession as well as add data to or change data in a time series

    Virtual Table Interface: A view of the time succession data is too provided that makes time succession data appear to live in a traditional relational schema.  This view is called the Virtual Table Interface (VTI) and shows time succession data in relational format.  This view allows regular SQL operations to live performed on the underlying time succession data.  Note that a VTI table is just a view and does not actually store any data directly.  Virtual tables can live used in interoperability with other products.

    TimeSeries Table

    Meter_id

    TimeSeries column

    1

    [(4,160,40), (4.5,155,35)....]

    2

    [(4,175,44), (4.5,160,35)..]

    ..

    ..

    Virtual Table

    Meter_id

    Timestamp

    Current

    Voltage

    Resistance

    1

    2010-12-01 01:00:00.00000

    4

    160

    40

    1

    2010-12-01 01:00:10.00000

    4.5

    155

    35

    1

    2010-12-01 01:00:20.00000

    5

    165

    33

    .

    .

    .

    .

    .

    .

    .

    .

    2

    2010-12-01 01:00:00.00000

    4

    175

    44

    2

    2010-12-01 01:00:10.00000

    4.5

    160

    35

    .

    .

    .

    .

    .

    .

    .

    .

     Advantages of Informix

    Less Storage: Due to the minuscule index size and the specific way of storing the timestamp value, the storage requirement is drastically reduced. Storage reduction can live up to 80% in the case of regular time succession and up to 30% in the case of irregular time series.

    Greater Performance: Because the index size is minuscule and the data is ordered physically on disk, much less I/O is required to select data. This results in extremely high performance, in both uploading and retrieving data.  Also, since less disk space is required, administration tasks dote backing up and purging data are faster.

    This table illustrates the results of an actual customer proof-of-concept comparing Informix against another well-known database:

    Other Database

    Informix

    Load time for 1,000,000 meters

    7 hours

    18 minutes

    Time to hasten required reports

    2 - 7 hours

    25 sec to 6 min

    Storage required for 1 Million Meters

    1.3 TB

    350 GB

    Total Cost of Ownership: TCO is much lower since there is no additional administration, no extra license cost, and no long learning curve.  On the contrary, the results panoply huge disk space saving and extremely high performance.

    Faster application development: Developers can reckon on existing built-in SQL routines, C APIs and JAVA APIs for accurate and faster development.

    Interoperability: The Informix TimeSeries data type, being a native data type, provides interoperability with database features as well as other products with no extra tweaking.

    Summary

    The Informix time succession approach is a breakthrough technology for managing and analyzing time succession data, offering several advantages of huge savings on disk storage and extremely high performance.  The built-in SQL routines and extensions of C APIs and JAVA APIs allow users to develop and incorporate their own program logic into the database engine and develop faster.  Because it is simple to learn and use, Informix is being widely accepted by the software community as meeting time succession data management requirements, compared with other database and non-RDBMS solutions.



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