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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
: 123 existent Questions

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IBM Informix 11.70 System Administrator

IBM licensed system Administrator | killexams.com existent Questions and Pass4sure dumps

This supplier-certain Certification is offered by using:IBM CorporationArmonk, the tall apple USAPhone: 914-499-1900Email: This email address is being protected from spambots. You necessity JavaScript enabled to view it.

skill degree: Intermediate                          repute: energetic

in your charge range: $200 (shortest tune)               

summary:for people who administer IBM systems, including, Lotus, IBM workplace, WebSphere, DB2 and Informix Dynamic Server, amongst others.

initial necessities:There are 26 tracks to earn a preference from. Most tracks require you flow one examination, although, some tracks require you grasp a gadget Administrator certification and flow up to 3 exams. assessments are $200 each and every. training is available but no longer required.

present 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)document ManagerLotus Sametime (8.0, eight.5)Lotus Notes and Domino (eight, eight.5)Lotus Quickr (8.5) for DominoLotus Quickr (eight.1) for Lotus DominoLotus Quickr (eight.1) for WebSphere PortalLotus Connections (2.5)Connections (3.0)

carrying on with requirements:none

Pay Chart:

See entire Ibm Certifications

vendor's page for this certification


Managing Time series records with Informix | killexams.com existent Questions and Pass4sure dumps

Jul 7, 2011

Vaibhav Dantale

Time series records is a chain of information aspects customarily measured at successive instances and can live spaced at uniform time intervals.  Time-stamped statistics will moreover live analyzed to extract meaningful information or other qualities of the records.  it may well moreover live used to forecast future movements according to time-honored previous routine.  Time sequence statistics allows for purposes reminiscent of economic forecasting, census analysis and forecasting, fleet management, inventory market evaluation, and smart power metering.

since it is time-stamped, time collection statistics has a special inner constitution that differs from relational records.  moreover, many purposes such as prudent metering store facts at commonplace intervals that require tall storage capability.  For these explanations, it isn't ample to exploit time series information using the ordinary relational strategy of storing one row for each and every time sequence entry.  Doing so creates performance challenges because the records volumes develop exponentially.  Some relational databases present solutions to wield the efficiency concern but compromise on storage.  Some non-relational options address the storage and efficiency concerns however undergo from obstacles similar to necessity of generality, extendibility, and interoperability.

therefore, efficient time collection records administration requires an reply that reduces storage, ensures tall efficiency, is handy to extend, and interoperates with different relational tips and different items.  IBM's Informix TimeSeries characteristic provides a solution to these complications with leap forward technology.

Time collection know-how has been a confirmed expertise with Informix for 15 years, and with eleven.70,  it comes with the server freed from charge. initially, the time series technology turned into used in the fiscal markets (for time stamped statistics reminiscent of inventory ticks). Now, with the modernization of energy and utilities trade, with advanced metering infrastructures (AMIs), and prudent grid initiatives, the time collection skill is finding a discrete opening to exploit the meter or sensor facts for utility corporations.

The Informix TimeSeries characteristic is a combination of a recent time sequence facts classification and a large set of in-construct analytics.  It reduces the storage requirement by greater than 50%, improves performance through orders of magnitude, and improves utility development productiveness when in comparison to a relational method.  because the time series statistics classification is a indigenous information classification in Informix, administrative overhead and discovering pains is minimal. Informix TimeSeries additionally interoperates well with different relational components and other products similar to Cognos, Streams, and Optim.

primary Challenges With a Relational method

The typical relational artery shops one row for each time collection entry resulting in the storage of redundant tips.  as an example, smart meter applications could necessity to compile meter readings each quarter-hour for thousands and thousands of meters.  In a merely relational device a meter_id and timestamp could live saved with each and every meter checklist.  To multiply retrieval time a composite index on the meter_id column and the timestamp column (table 1.1) can live required.  This artery ends up in large amounts of facts that provides administrative overhead and performance challenges, doubtless requiring additional hardware investments.  These challenges commonly develop into essential highway blocks for extra enhancements in solution and features.

table 1.1: representation of statistics stored in habitual RDBMS strategy

Meter_id

Timestamp

current

Voltage

Resistance

1

2010-12-01 01:00:00.00000

4

160

forty

1

2010-12-01 01:00:10.00000

4.5

one hundred fifty five

35

1

2010-12-01 01:00:20.00000

5

one hundred sixty five

33

.

.

.

.

.

.

.

.

2

2010-12-01 01:00:00.00000

4

a hundred seventy five

44

2

2010-12-01 01:00:10.00000

four.5

a hundred and sixty

35

.

.

.

.

.

.

.

.

as a result of the challenges of managing and processing massive facts the frequency that records is collected could should live less conventional than desired, for example, every half hour, to live able to carve back the amount of facts it's saved.

one more main problem is to operate time-based analytical operations on relational records. lots of the time, an utility developer should utilize tangled and proprietary program obliging judgment to function time-based mostly evaluation.  well often these functions aren't attainable in the indigenous SQL language that almost entire databases communicate.

The Informix strategy to Time series facts

 IBM Informix presents a recent point of view with the implementation of time sequence as a local information classification.

The Informix TimeSeries facts character uses a single row for each tag/tick identifier, reminiscent of a meter, and appends subsequent readings from the identical meter to that row, as proven in table 1.2. The statistics is ordered physically on disk.  hence, the number of rows in a TimeSeries table is an identical as the number of meters being monitored.  No index is required on the records given that 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 by almost 50-eighty% compared to a traditional relational strategy, and performance is more suitable by using an order of magnitude.  this is due to not having to create an index on the data, no longer duplicating the Meter_id on every row, and other efficiencies.

desk 1.2: representation of information saved 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 illustration the Place facts is kept with at an everyday fastened frequency and therefore it is regarded to live a regular time series. however there are clear options the Place they necessity to manage tips for capricious points in time, similar to adventure statistics. Informix helps irregular time collection for such situations.  Informix helps irregular time sequence just as effectively because it does universal time series.

standard time sequence utilize the thought of offset; they beget got a mapping between the time aspect associated with a component and its position relative to the delivery of the time collection. individual timestamps aren't saved in common time collection; as a substitute, they are computed from the aspect's offset.  as a result of this Informix is in a position to reclaim eleven bytes per checklist compared to relational storage.

How does Informix shop time collection information? How is it accessed? How is the frequency of statistics assortment defined?  How is incoming data validated?

To win the reply for entire these questions, let's emerge on the Informix time sequence objects.

Container: A container is a space created to grasp time collection records.  The statistics is stored in the container clustered by using id (for instance meter identification) and the sorted by means of time.  varied time-collection may moreover live kept in a single container.  A container is created by means of executing an SQL command.

Calendar: The calendar defines the frequency of records collection and times when facts may silent or may silent not live amassed.  It makes it possible for discrete mixtures of frequencies.  as an instance, in case you necessity to collect facts each day within the week accept Saturday and Sunday, you contour the calendar as "5 on, 2 off, day".  The incoming records is validated instantly towards the defined calendar.

SQL Routines and APIs: Informix offers over 80 time series-specific SQL routines to execute SQL operations.  It moreover provides a set of C APIs and JAVA APIs to further your personal analytics.  The TimeSeries SQL routines offered function operations such as developing, aggregating, moving averages, and arithmetic capabilities on one or more time series as well as add records to or alternate data in a time sequence

digital table Interface: A view of the time series information is additionally given that makes time series records emerge to live in a traditional relational schema.  This view is called the virtual desk Interface (VTI) and suggests time collection records in relational structure.  This view permits yardstick SQL operations to live carried out on the underlying time series information.  live alert that a VTI desk is barely a view and does not in reality champion any facts at once.  digital tables can live used in interoperability with other items.

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

4

one hundred sixty

forty

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

four

175

forty four

2

2010-12-01 01:00:10.00000

four.5

a hundred and sixty

35

.

.

.

.

.

.

.

.

 benefits of Informix

less Storage: due to the diminutive index dimension and the inevitable approach of storing the timestamp cost, the storage requirement is greatly reduced. Storage discount will moreover live as much as eighty% within the case of commonplace time collection and up to 30% within the case of irregular time sequence.

superior efficiency: since the index measurement is diminutive and the data is ordered somatic on disk, plenty less I/O is required to select statistics. This effects in extraordinarily tall performance, in each uploading and retrieving statistics.  also, on account that less disk space is required, administration projects fondness backing up and purging information are quicker.

This table illustrates the results of an actual customer proof-of-concept evaluating Informix towards a different widespread database:

different Database

Informix

Load time for 1,000,000 meters

7 hours

18 minutes

Time to Hurry required studies

2 - 7 hours

25 sec to 6 min

Storage required for 1 Million Meters

1.three TB

350 GB

total cost of ownership: TCO is an unfavorable lot diminish given that there isn't any additional administration, no added license cost, and no long learning curve.  On the opposite, the effects exhibit massive disk house saving and intensely immoderate efficiency.

quicker utility development: developers can matter on current developed-in SQL routines, C APIs and JAVA APIs for accurate and quicker development.

Interoperability: The Informix TimeSeries records type, being a indigenous information type, gives interoperability with database aspects in addition to other items with out a extra tweaking.

summary

The Informix time series approach is a breakthrough expertise for managing and analyzing time collection statistics, providing different benefits of massive savings on disk storage and intensely immoderate performance.  The built-in SQL routines and extensions of C APIs and JAVA APIs allow users to help and comprise their own application logic into the database engine and multiply quicker.  since it is convenient to gain lore of and use, Informix is being broadly authorized via the software neighborhood as meeting time sequence facts management requirements, in comparison with different database and non-RDBMS solutions.


comparing the properly database protection gear | killexams.com existent Questions and Pass4sure dumps

The purpose of database safety gear is to deliver more complete insurance policy of relational database administration...

gadget offerings, past the security elements which are integrated into these products. Some of those add-ons bring excessive-conclusion statistics, evaluation and auditing tools as smartly. The enchantment of database security gear is that they accomplish not alter the database or application, and that they consequence in just minimal performance influences.

this article compares the strengths and weaknesses of a yoke of database protection equipment: database recreation monitoring (DAM), database assessment and transparent database encryption items. The agencies and items addressed listed here (proven in here desk) are entire totally rated and leaders in the database safety sector.

Fortinet FortiDB, IBM Guardium, Imperva SecureSphere and Vormetric Inc. are primarily appliance-driven products. The McAfee products (Database endeavor Monitoring and Vulnerability supervisor for Databases), HP safety Voltage, Protegrity country Inc.  and Trustwave DbProtect are essentially utility-based products, and Oracle advanced safety is an preference with Oracle Database commercial enterprise version.

features

The database recreation monitoring products beget similar characteristic sets: audit policy compliance (payment Card trade facts security normal, health insurance Portability and Accountability Act, Gramm-Leach-Bliley Act and so forth), transaction blocking, separation of tasks, centrally managed protection, advanced reporting and greater.

One differentiating component is the underlying monitoring know-how -- how the DAM gathers suggestions -- which is typically by the utilize of network monitoring, faraway monitoring or indigenous brokers. counting on a selected vendor's technology, the traffic may caution that SQL sniffing performed via community home gear or local agents offers restricted visibility and can hence omit some essential recreation. another may exclaim that server input/output, network load and database performance is suffering from agents needing to cache traffic to the indigenous disk or dispatch site visitors over the community for analysis. definitely, state-of-the-art agents are light-weight and frequently repercussion performance via below 5%, which is acceptable by industry requisites. however there isn't any legitimate strategy to evaluate the performance of a variety of DAMs aside from to examine them for your own ambiance.

The kinds of supported databases is one more factor to trust. Most DAM items can computer screen Oracle, Microsoft SQL Server, IBM DB2, MySQL and Sybase, however some give lead for many extra databases. Imperva SecureSphere adds IBM IMS, IBM Informix, IBM Netezza, MongoDB, PostgreSQL, progress OpenEdge and Teradata to its checklist. youngsters, companies constantly upgrade their products to live extra inclusive and accomplish not always beget the most existing suggestions on their websites. So earn inevitable to question each vendor for a present listing of supported databases.

Database assessment add-on tools determine database configuration settings and patch tiers to find vulnerabilities, and a few combine with DAM products for alerting and recreation blocking. evaluation add-ons may moreover live critical to database security as a result of the depth of inspection and reporting they present, which is commonly missing in database purposes. Fortinet FortiDB, Trustwave DbProtect and Imperva SecureSphere consist of vulnerability management for databases, whereas IBM Guardium and McAfee sell it as a sever product.

For clear database encryption, conclusion-to-conclusion protection, centralized policy administration, scalability and minimal efficiency influence are critical criteria. during this respect, Vormetric and HP security Voltage shine. both products are highly scalable and supply potent statistics encryption. Vormetric provides file gear and volume encryption in addition to access handle. Voltage's facts-centric protection encrypts any sort of facts aspect (fee card numbers, for my portion identifiable suggestions), which contains variable-length strings, numbers, dates, and more. Vormetric edges out Voltage related to the diversity of supported databases and structures -- Vormetric can encrypt practically any class of database on windows, Linux and Unix systems.

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

Ease of deployment and use

equipment-based mostly products, by design, are typically relatively convenient to install. That talked about, the greater tangled products, comparable to IBM Guardium and Imperva SecureSphere, can recall weeks to install and correctly configure.

Fortinet FortiDB home equipment, nevertheless, win tall ratings for simple deployment and setup -- groups can commence monitoring a database within an hour of unpacking the box. The leading configuration steps contain specifying an IP wield latitude, choosing the class of database server to monitor, settling on a port range, and coming into a username and password. Auto discovery takes it from there.

For the application-primarily based database endeavor monitoring and evaluation items, the McAfee products setup is wizard-driven and extremely convenient to configure. The Trustwave DbProtect dashboard, in the meantime, is crisp and neatly-prepared, and the product offers notable efficiency charts as well as operational and compliance stories.

constructing transparent database encryption is a posh manner. Vormetric, Voltage and Protegrity require installing and configuration of a management console and brokers. because Oracle superior safety is an preference in Oracle Database traffic version, installing is minimal. youngsters, transparent database encryption requires large coverage configuration and keystore setup. in this appreciate, Vormetric, Voltage and Protegrity earn utilize of graphical person interfaces (GUIs), whereas Oracle configuration is performed at the command-line interface or via a GUI.

As for demo and comparison instruments, the entire companies let abilities customers try an assessment unit in their own environment. Fortinet and Vormetric moreover proffer online demos. related to HP security Voltage, businesses ought to win involved with a earnings rep to request a demo -- in contrast to the other carriers, the option to request a demo isn't conveniently attainable from the HP web site. companies can download a affliction of McAfee Database endeavor Monitoring and McAfee Vulnerability manager for Databases without charge.

Pricing

Database protection tools pricing varies enormously, in each dollar volume and the artery the product is bought or licensed.

related to database monitoring and evaluation items, Fortinet offers the most simple pricing. for instance, Fortinet FortiDB home gear can freight $15,000 to $37,000, and annual help subscriptions and more suitable lead add $three,seven-hundred to over $9,000 to the can charge.

by contrast, Imperva SecureSphere Database exercise Monitoring is licensed through database transaction extent, so cost varies in accordance with the ambiance. With this mannequin, a consumer purchases simplest what's crucial and might scale up or down as database recreation monitoring needs alternate. The platform requires a digital or hardware gear and administration server; the can freight of a low-end hardware gear lonely starts round $30,000 and scales up to over $eighty five,000 for higher-conclusion units.

The appeal of a database protection device is that it doesn't alter the database or software, and it effects in barely minimal performance impacts.

one of the vital items, fondness McAfee Database pastime Monitoring and IBM Guardium, basis pricing on the number of processor cores. In those circumstances, the companies opt for lore customers to contact the seller or a reseller for specific pricing.

Pricing for clear encryption is equally diverse. as an example, Protegrity Database Protector is without doubt one of the optimum priced products but is fairly clear-cut. Protegrity licenses its product for a yoke of various kinds of databases. The Protegrity Oracle Database Protector, for example, fees approximately $17,000 yearly for a two-year license, or $45,000 for a perpetual license. And the management console -- traffic safety Administrator -- charges about $32,000 (two-yr term) to $84,500 (perpetual) for a single ambiance.

In evaluation, Oracle advanced safety pricing is tons more complex. The company sells Named user Plus agreements for smaller environments or traffic edition per-core licenses for greater environments. beneath a Named person Plus agreement, customers necessity to purchase 25 licenses per processor, which cost $300 complete, plus $sixty six for utility updates, licensing and support. commercial enterprise version per-core licensing runs $15,000, plus $three,300 for application updates, licensing and help. notably, that you could order Oracle superior protection licenses directly from the Oracle website.

assist

all the corporations proffer commonplace assist by artery of cellphone, e-mail or a consumer portal, as well as free access to internet skills bases. typical aid is customarily Monday through Friday entire the artery through enterprise hours with a four-hour response time. top rate benefit with 24x7x365 access and a lot of tiers of response time is available, customarily at heaps of greenbacks per package.

Conclusions

budget is often the simple criterion in any security product, but database safety tools' paying for metrics range tremendously. determining factors are whether an add-on product has entire crucial required aspects, the artery it performs in a firm's ambiance, and how lots pains is required to set up and maintain the product.

begin the supplier vetting technique with a minute checklist of facets that your solid requires, then hunt counsel from seller reps, win contrast contraptions or affliction application, test the products in-condo, and request accurate pricing in your specific ambiance. Then weigh the fees against completeness of characteristic set, ease of utilize and performance.

Fortinet and McAfee rank immoderate on ease of utilize and cost for database monitoring and assessment, but they may not meet entire of a company's requirements. involving transparent database encryption, Vormetric, HP comfy Voltage and Protegrity edge out Oracle superior safety regarding ease of utilize and/or pricing simplicity.

once an organization determines a brief checklist of items, reckon each and every supplier's sturdiness out there. The database safety sector has experienced lots of churn over the final two to three years, with some companies making a few strategic purchases and forming partnerships with cloud carrier providers, while others had been scooped up with the aid of the competition. It may live most trustworthy to obviate carriers which are being bought or are struggling to develop.


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Informix 11.70 System Administrator

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IBM Certified System Administrator | killexams.com existent 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 necessity 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 entire Ibm Certifications

Vendor's page for this certification


Shiloh, W2K Advanced Server win solemn Test | killexams.com existent questions and Pass4sure dumps

News

Shiloh, W2K Advanced Server win solemn 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 ultimate two weeks, Hewlett-Packard Co., Compaq Computer Corp. and Unisys Corp. (www.unisys.com) submitted results to the TPC (www.tpc.org). entire the results were for a recent conclusion champion benchmark called the TPC-H, and each came near to the performance of a Sun Microsystems Co.-Informix Corp. result – the only other result posted so far.

    "It would live an understatement to exclaim 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 convoke the RDBMS when it comes out in mid-2000.

    Shiloh just entered its beta testing angle 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 push by hardware OEMs to present 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 conclusion 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 recent conclusion 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 heed 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 confederate magazine.


    Managing Time series Data with Informix | killexams.com existent questions and Pass4sure dumps

    Jul 7, 2011

    Vaibhav Dantale

    Time series 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 moreover live used to forecast future events based on known past events.  Time series 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 series 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 series information using the traditional relational approach of storing one row for each time series entry.  Doing so creates performance challenges as the data volumes grow exponentially.  Some relational databases proffer 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 necessity of generality, extendibility, and interoperability.

    Hence, efficient time series data management requires a solution that reduces storage, ensures tall performance, is facile 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 series 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 series technology was used in the pecuniary 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 series 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 recent time series data character and a large 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 series data character is a indigenous data character in Informix, administrative overhead and learning pains is minimal. Informix TimeSeries moreover 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 series entry resulting in the storage of redundant information.  For example, smart meter applications may necessity 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 help 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 necessity 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 execute time-based analytical operations on relational data. Most of the time, an application developer must utilize tangled and proprietary program logic to execute time-based analysis.  Quite often these functions are not available in the indigenous SQL language that most databases speak.

    The Informix Approach to Time series Data

     IBM Informix offers a recent perspective with the implementation of time series as a indigenous data type.

    The Informix TimeSeries data character uses a single row for each tag/tick identifier, such as a meter, and appends subsequent readings from the selfsame 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 selfsame 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 inevitable solutions where they necessity to manage information for capricious points in time, such as event data. Informix supports irregular time series for such cases.  Informix supports irregular time series just as efficiently as it does regular time series.

    Regular time series utilize the concept of offset; they beget a mapping between the time point associated with an component 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 reclaim 11 bytes per record compared to relational storage.

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

    To win the reply for entire these questions, let's peep at the Informix time series objects.

    Container: A container is a space created to hold time series 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 single 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 execute SQL operations.  It moreover provides a set of C APIs and JAVA APIs to develop your own analytics.  The TimeSeries SQL routines provided execute operations such as creating, aggregating, moving averages, and arithmetic functions on one or more time series as well as add data to or change data in a time series

    Virtual Table Interface: A view of the time series data is moreover provided that makes time series data emerge to live in a traditional relational schema.  This view is called the Virtual Table Interface (VTI) and shows time series data in relational format.  This view allows regular SQL operations to live performed on the underlying time series 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 diminutive index size and the specific artery of storing the timestamp value, the storage requirement is drastically reduced. Storage reduction can live up to 80% in the case of regular time series and up to 30% in the case of irregular time series.

    Greater Performance: Because the index size is diminutive and the data is ordered physically on disk, much less I/O is required to select data. This results in extremely tall performance, in both uploading and retrieving data.  Also, since less disk space is required, administration tasks fondness 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 Hurry 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 present huge disk space saving and extremely tall 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 indigenous data type, provides interoperability with database features as well as other products with no extra tweaking.

    Summary

    The Informix time series approach is a breakthrough technology for managing and analyzing time series data, offering discrete advantages of huge savings on disk storage and extremely tall 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 facile to learn and use, Informix is being widely accepted by the software community as meeting time series data management requirements, compared with other database and non-RDBMS solutions.



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