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000-558 Informix 11.70 Fundamentals

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000-558 exam Dumps Source : Informix 11.70 Fundamentals

Test Code : 000-558
Test name : Informix 11.70 Fundamentals
Vendor name : IBM
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IBM Informix 11.70 Fundamentals

IBM licensed Database affiliate | killexams.com existent Questions and Pass4sure dumps

This supplier-selected Certification is obtainable with the aid of:IBM CorporationArmonk, the immense apple USAPhone: 914-499-1900Email: This electronic mail tackle is being included from spambots. You want JavaScript enabled to view it.

ability level: groundwork                          popularity: active

comparatively cheap: $200 (shortest music)               

summary:Entry-degree certification for individuals who drudgery with IBM database items. There are two tracks to gain a selection from: Informix Dynamic Server (11.50) Fundamentals, and Informix (11.70) Fundamentals.

initial necessities:You ought to circulate the linked exam for your chosen track ($200). each exams gain a ninety minute time restrict and encompass 60 questions. practicing is purchasable however now not required.

continuing necessities:None distinct

Pay Chart:

See impeccable Ibm Certifications

dealer's web page for this certification


Managing Time succession statistics with Informix | killexams.com existent Questions and Pass4sure dumps

Jul 7, 2011

Vaibhav Dantale

Time sequence records is a chain of records elements typically measured at successive instances and might be spaced at uniform time intervals.  Time-stamped records will moreover be analyzed to extract significant statistics or different qualities of the facts.  it will probably moreover be used to forecast future routine in keeping with customary previous activities.  Time collection facts allows purposes reminiscent of financial forecasting, census analysis and forecasting, fleet administration, inventory market analysis, and sapient power metering.

because it is time-stamped, time sequence statistics has a unique inside structure that differs from relational statistics.  additionally, many functions equivalent to sapient metering store records at regular intervals that require huge storage skill.  For these factors, it is not enough to manage time succession advice the utilize of the ordinary relational approach of storing one row for every time collection entry.  Doing so creates efficiency challenges as the facts volumes grow exponentially.  Some relational databases present options to handle the performance rigor but compromise on storage.  Some non-relational options tackle the storage and efficiency concerns but undergo from barriers equivalent to want of generality, extendibility, and interoperability.

hence, efficient time collection statistics management requires a solution that reduces storage, ensures immoderate efficiency, is convenient to prolong, and interoperates with other relational information and other items.  IBM's Informix TimeSeries characteristic provides an retort to those complications with leap forward technology.

Time collection know-how has been a confirmed technology with Informix for 15 years, and with 11.70,  it comes with the server free of cost. firstly, the time sequence technology was used within the fiscal markets (for time stamped data similar to stock ticks). Now, with the modernization of energy and utilities trade, with superior metering infrastructures (AMIs), and sapient grid initiatives, the time sequence capacity is finding a unique possibility to control the meter or sensor statistics for utility corporations.

The Informix TimeSeries feature is a mix of a unusual time succession information character and a huge set of in-build analytics.  It reduces the storage requirement by more than 50%, improves efficiency through orders of magnitude, and improves software construction productivity when in comparison to a relational approach.  because the time sequence information character is a endemic records category in Informix, administrative overhead and learning application is minimal. Informix TimeSeries additionally interoperates smartly with different relational add-ons and other products akin to Cognos, Streams, and Optim.

primary Challenges With a Relational approach

The natural relational approach stores one row for every time succession entry resulting in the storage of redundant tips.  for example, sensible meter applications may requisite to collect meter readings each quarter-hour for hundreds of thousands of meters.  In a simply relational materiel a meter_id and timestamp could be kept with each meter list.  To enlarge retrieval time a composite index on the meter_id column and the timestamp column (desk 1.1) could be required.  This approach leads to massive amounts of records that provides administrative overhead and performance challenges, doubtless requiring additional hardware investments.  These challenges often become main road blocks for further enhancements in retort and functions.

desk 1.1: illustration of information saved in typical RDBMS approach

Meter_id

Timestamp

existing

Voltage

Resistance

1

2010-12-01 01:00:00.00000

four

one hundred sixty

40

1

2010-12-01 01:00:10.00000

four.5

one hundred fifty five

35

1

2010-12-01 01:00:20.00000

5

a 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

one hundred sixty

35

.

.

.

.

.

.

.

.

because of the challenges of managing and processing massive statistics the frequency that information is accrued could deserve to be less customary than favored, for example, each half hour, as a pass to slash back the amount of data it's kept.

a further major problem is to operate time-based analytical operations on relational information. many of the time, an application developer should utilize knotty and proprietary software logic to office time-based mostly evaluation.  quite often these services don't seem to be available in the endemic SQL language that most databases speak.

The Informix system to Time sequence records

 IBM Informix offers a brand unusual perspective with the implementation of time succession as a local records category.

The Informix TimeSeries information category uses a sole row for every tag/tick identifier, reminiscent of a meter, and appends subsequent readings from the equal meter to that row, as shown in desk 1.2. The statistics is ordered physically on disk.  therefore, the number of rows in a TimeSeries table is the very because the variety of meters being monitored.  No index is required on the statistics considering it is kept in sorted order.   An index may well be created on the meter_id column or every other non-TimeSeries column.  subsequently, the storage requirement is reduced by essentially 50-eighty% compared to a traditional relational approach, and efficiency is greater with the aid of an order of magnitude.  this is due to no longer having to create an index on the facts, not duplicating the Meter_id on every row, and other efficiencies.

desk 1.2: representation of statistics 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)..]

..

..

wise metering is an instance where statistics is stored with at a daily mounted frequency and therefore it's considered to be a regular time collection. but there are inevitable solutions where they deserve to manage suggestions for whimsical points in time, comparable to adventure records. Informix helps irregular time succession for such situations.  Informix helps irregular time succession just as efficiently as it does customary time series.

normal time succession utilize the concept of offset; they gain a mapping between the time factor linked to a portion and its region relative to the rise of the time sequence. individual timestamps aren't stored in typical time sequence; in its place, they are computed from the element's offset.  because of this Informix is capable of save 11 bytes per record in comparison to relational storage.

How does Informix sustain time sequence assistance? How is it accessed? How is the frequency of records collection defined?  How is incoming statistics validated?

To accumulate the reply for impeccable these questions, let's loom on the Informix time sequence objects.

Container: A container is a space created to hang time collection facts.  The information is kept in the container clustered via id (as an instance meter identification) and the sorted by means of time.  varied time-series can be kept in a sole container.  A container is created by using executing an SQL command.

Calendar: The calendar defines the frequency of facts assortment and times when information should or should not be accrued.  It enables distinctive mixtures of frequencies.  for instance, in case you wish to collect facts every day in the week settle for Saturday and Sunday, you define the calendar as "5 on, 2 off, day".  The incoming records is validated immediately in opposition t the described calendar.

SQL Routines and APIs: Informix offers over eighty time sequence-selected SQL routines to fulfill SQL operations.  It moreover gives a collection of C APIs and JAVA APIs to enlarge your personal analytics.  The TimeSeries SQL routines provided office operations equivalent to developing, aggregating, relocating averages, and arithmetic features on one or greater time collection as well as add statistics to or change statistics in a time collection

virtual desk Interface: A view of the time succession records is additionally provided that makes time succession records seem like in a touchstone relational schema.  This view is called the digital table Interface (VTI) and shows time sequence information in relational format.  This view permits generic SQL operations to be performed on the underlying time collection data.  word that a VTI desk is barely a view and doesn't definitely shop any records directly.  virtual tables can moreover be used in interoperability with other products.

TimeSeries desk

Meter_id

TimeSeries column

1

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

2

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

..

..

digital desk

Meter_id

Timestamp

present

Voltage

Resistance

1

2010-12-01 01:00:00.00000

four

160

40

1

2010-12-01 01:00:10.00000

4.5

one hundred fifty five

35

1

2010-12-01 01:00:20.00000

5

a hundred sixty five

33

.

.

.

.

.

.

.

.

2

2010-12-01 01:00:00.00000

4

175

44

2

2010-12-01 01:00:10.00000

four.5

one hundred sixty

35

.

.

.

.

.

.

.

.

 benefits of Informix

much less Storage: due to the minuscule index size and the selected manner of storing the timestamp price, the storage requirement is significantly reduced. Storage discount will moreover be up to eighty% in the case of tolerable time succession and up to 30% within the case of irregular time sequence.

stronger performance: since the index measurement is minuscule and the statistics is ordered physically on disk, lots much less I/O is required to choose data. This consequences in extremely immoderate efficiency, in each importing and retrieving records.  additionally, on the grounds that much less disk region is required, administration initiatives like backing up and purging facts are quicker.

This table illustrates the results of an actual customer proof-of-conception evaluating Informix towards a further conventional database:

different Database

Informix

Load time for 1,000,000 meters

7 hours

18 minutes

Time to race required stories

2 - 7 hours

25 sec to 6 min

Storage required for 1 Million Meters

1.3 TB

350 GB

complete cost of ownership: TCO is tons subside due to the fact that there is not any additional administration, no extra license charge, and no lengthy studying curve.  On the contrary, the effects demonstrate huge disk space saving and intensely immoderate efficiency.

faster application building: builders can signify on present developed-in SQL routines, C APIs and JAVA APIs for accurate and faster development.

Interoperability: The Informix TimeSeries information class, being a local information category, provides interoperability with database features in addition to other products and not using a additional tweaking.

abstract

The Informix time collection system is a leap forward technology for managing and examining time sequence data, offering diverse benefits of immense savings on disk storage and intensely elevated efficiency.  The built-in SQL routines and extensions of C APIs and JAVA APIs permit users to strengthen and comprise their own program superior judgment into the database engine and advance faster.  because it is handy to be taught and use, Informix is being generally accepted by means of the utility community as meeting time collection statistics management necessities, in comparison with different database and non-RDBMS solutions.


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Informix 11.70 Fundamentals

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IBM Certified Database Associate | 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 requisite JavaScript enabled to view it.

Skill Level: Foundation                          Status: Active

Low Cost: $200 (shortest track)               

Summary:Entry-level certification for individuals who drudgery with IBM database products. There are two tracks to choose from: Informix Dynamic Server (11.50) Fundamentals, and Informix (11.70) Fundamentals.

Initial Requirements:You must pass the associated exam for your chosen track ($200). Both exams gain a 90 minute time restrict and consist of 60 questions. Training is available but not required.

Continuing Requirements:None specified

Pay Chart:

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Altova Introduces Version 2014 of Its Developer Tools and Server Software | killexams.com existent questions and Pass4sure dumps

BEVERLY, MA--(Marketwired - Oct 29, 2013) - Altova® (http://www.altova.com), creator of XMLSpy®, the industry leading XML editor, today announced the release of Version 2014 of its MissionKit® desktop developer tools and server software products. MissionKit 2014 products now include integration with the lightning fleet validation and processing capabilities of RaptorXML®, uphold for Schema 1.1, XPath/XSLT/XQuery 3.0, uphold for unusual databases and much more. unusual features in Altova server products include caching options in FlowForce® Server and increased performance powered by RaptorXML across the server product line.

"We are so excited to be able to extend the hyper-performance delivered by the unparalleled RaptorXML Server to developers working in their desktop tools. This functionality, along with robust uphold for the very latest standards, from XML Schema 1.1 to XPath 3.0 and XSLT 3.0, provides their customers the benefits of increased performance alongside cutting-edge technology support," said Alexander Falk, President and CEO for Altova. "This, coupled with the skill to automate essential processes via their high-performance server products, gives their customers a discrete advantage when structure and deploying applications."

A few of the unusual features available in Altova MissionKit 2014 include:

Integration of RaptorXML: Announced earlier this year, RaptorXML Server is high-performance server software capable of validating and processing XML at lightning speeds -- while delivering the strictest viable standards conformance. Now the very hyper-performance engine that powers RaptorXML Server is fully integrated in several Altova MissionKit tools, including XMLSpy, MapForce®, and SchemaAgent®, delivering lightning fleet validation and processing of XML, XSLT, XQuery, XBRL, and more. The third-generation validation and processing engine from Altova, RaptorXML was built from the ground up to uphold the very latest of impeccable germane XML standards, including XML Schema 1.1, XSLT 3.0, XPath 3.0, XBRL 2.1, and myriad others.

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Coinciding with XML Schema 1.1 support, Altova has moreover released a free, online XML Schema 1.1 technology training course, which covers the fundamentals of the XML Schema language as well as the changes introduced in XML Schema 1.1.

Support for XPath 3.0, XSLT 3.0, and XQuery 3.0:

Support for XPath in XMLSpy 2014 has been updated to include the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful unusual functionality such as: dynamic office cells, inline office expressions, and uphold for union types to name just a few. Full uphold for unusual functions and operators added in XPath 3.0 is available through intelligent XPath auto-completion in Text and Grid Views, as well as in the XPath Analyzer window.

Support for editing, debugging, and profiling XSLT is now available for XSLT 3.0 as well as previous versions. delight note that a subset of XSLT 3.0 is supported since the touchstone is quiet a working draft that continues to evolve. XSLT 3.0 uphold conforms to the W3C XSLT 3.0 Working Draft of July 10, 2012 and the XPath 3.0 Candidate Recommendation. However, uphold in XMLSpy now gives developers the skill to start working with this unusual version immediately.

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Story continues

As with XSLT and XPath, XMLSpy uphold for XQuery now moreover includes a subset of version 3.0. Developers will now gain the option to edit, debug, and profile XQuery 3.0 with helpful syntax coloring, bracket matching, XPath auto-completion, and other intelligent editing features.

XQuery 3.0 is, of course, an extension of XPath and therefore benefits from the unusual functions and operators added in XPath 3.0, such as a unusual string concatenation operator, map operator, math functions, sequence processing, and more -- impeccable of which are available in the context sensitive entry helper windows and drop down menus in the XMLSpy 2014 XQuery editor.

New Database Support:

Database-enabled MissionKit products including XMLSpy, MapForce, StyleVision®, DatabaseSpy®, UModel®, and DiffDog®, now include complete uphold for newer versions of previously supported databases, as well as uphold for unusual database vendors:

  • Informix® 11.70
  • PostgreSQL versions 9.0.10/9.1.6/9.2.1
  • MySQL® 5.5.28
  • IBM DB2® versions 9.5/9.7/10.1
  • Microsoft® SQL Server® 2012
  • Sybase® ASE (Adaptive Server Enterprise) 15/15.7
  • Microsoft Access™ 2010/2013
  • New in Altova Server Software 2014:

    Introduced earlier in 2013, Altova's unusual line of cross-platform server software products includes FlowForce Server, MapForce Server, StyleVision Server, and RaptorXML Server. FlowForce Server provides comprehensive management, job scheduling, and security options for the automation of essential traffic processes, while MapForce Server and StyleVision Server offer high-speed automation for projects designed using familiar Altova MissionKit developer tools. RaptorXML Server is the third-generation, hyper-fast validation and processing engine for XML and XBRL.

    Starting with Version 2014, Altova server products are powered by RaptorXML for faster, more efficient processing. In addition, FlowForce Server now supports results caching for jobs that require a long time to process, for instance when a job requires knotty database queries or needs to gain its own Web service data requests. FlowForce Server administrators can now schedule execution of a time-consuming job and cache the results to preclude these delays. The cached data can then be provided when any user executes the job as a service, delivering instant results. A job that generates a customized sales report for the previous day would be a superior application for caching.

    These and many more features are available in the 2014 Version of MissionKit desktop developer tools and Server software. For a complete list of unusual features, supported standards, and ordeal downloads delight visit: http://www.altova.com/whatsnew.html

    About Altova Altova® is a software company specializing in tools to assist developers with data management, software and application development, and data integration. The creator of XMLSpy® and other award-winning XML, SQL and UML tools, Altova is a key player in the software tools industry and the leader in XML solution progress tools. Altova focuses on its customers' needs by offering a product line that fulfills a broad spectrum of requirements for software progress teams. With over 4.5 million users worldwide, including 91% of Fortune 500 organizations, Altova is disdainful to serve clients from one-person shops to the world's largest organizations. Altova is committed to delivering standards-based, platform-independent solutions that are powerful, affordable and easy-to-use. Founded in 1992, Altova is headquartered in Beverly, Massachusetts and Vienna, Austria. Visit Altova on the Web at: http://www.altova.com.

    Altova, MissionKit, XMLSpy, MapForce, FlowForce, RaptorXML, StyleVision, UModel, DatabaseSpy, DiffDog, SchemaAgent, Authentic, and MetaTeam are trademarks and/or registered trademarks of Altova GmbH in the United States and/or other countries. The names of and reference to other companies and products mentioned herein may be the trademarks of their respective owners.



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