Datastage Online Training Institutes

Defination of Datastage :

IBM DataStage is one of the leading ETL tools for creation and maintenance of Data Marts and Data Warehouses. DataStage provides us with comprehensive set of options  to build solutions faster and give access to the data and reports faster. It is an ideal tool for data integration projects – such as data warehouses, data marts and system migrations as well.

DataStage is so powerful and has evolved over years. It can extract from any kind of source, modify/cleanse data with its rich set of transformation capabilities and can load into any target. “Any” here includes Databases, packages (SAP, PeopleSoft, Siebel), WebServer logs, Spreadsheets, XMLs and so on. The transformation part of  ETL is about getting data cleansed, standardized, and generally into a format suitable for loading into target.

 

How DataStage Works?

The design paradigm of DataStage is simplicity, to design an ETL task, you draw “the High Level Picture” – a picture depicting the sources of data, the processing that the data are to undergo, and the targets for the data. As this is done using a GUI, which means the big picture can be shown to others who can – hopefully grasp the intent of the design.

For example a simple design might read data from a text file, transform data formats and nulls, summarize the data, and write the results into another text file. That’s all the picture would show. To complete the story, we need to go ‘under the covers’ and fill in the additional details – the pathname of the source file, which columns need to be transformed, which columns are to be grouped and aggregated, the pathname of the target file and so on.

One of the best things out DataStage is that it is metadata-driven. DataStage processes rows of data, and each row in any particular job contains the same columns (in general). Those columns must be known; typically they are imported from the sources/targets directly, so that the metadata within DataStage exactly match the metadata associated with files/tables out there in the enterprise.

 

Datastage Versions :

 

This section lists each major release of DataStage Enterprise Edition and the enhancements for DataStage parallel jobs. For a list of enhancements to the client tools see the versions on the DataStage Server Edition page is it is the version that has been delivered with every release going back to DataStage 1. All release of DataStage 7 can import and upgrade DataStage 6 export files. DataStage 8 can only import and upgrade DataStage 7.5.1 or 7.5.2 jobs.

DataStage 6, Released in September 2002, ten months after the acquisition of Torrent, it was the first version of DataStage to feature the Parallel Extender (PX), the parallel platform that allows processes to run in parallel across a multiple processor environment.New parallel job type with a new set of parallel stages. Some with the same name as server job stages but with different properties and options.Server job shared container for parallel jobs.CPU based licensing instead of server based licensing.Support for SAS 6.12 and 8.2.This release was followed by the client only 6.0.1 release that fixed a number problems.

DataStage 7, Release September 2003 it uses much the same architecture of the previous version with improvements to the usability. This was the first release to have no server job improvements but many parallel job improvements.XML Pack 2.0 provides improved XML metadata support for parallel jobs.National Language Support (NLS) for parallel jobs but not for all parallel stages.Parallel shared and local stages.Enhanced transformer with improved reject row handling, string handling, timestamp conversion and compile performance.Modify, Switch and Filter stages added.Multiple-instance parallel jobs.Non blocking funnel stage.

DataStage 7.5, Unknown release date.Parallel complex flat file stage.A parallel job message handler for demoting or removing warning messages from the job log.Lookup stage changes from a property screen to a drag and drop mapping screen.Multi node import of sequential files.Additional options for sequential file and file set stages such as Read First Rows, Row Number Column and First Line is Column Names.View data support for custom stages.New Parallel Advanced Job Developers Guide.

DataStage 7.5.1,Released in March 2005.New SQL Builder for building SQL query statements from a database plugin stage.Command line job search function added. DataStage parallel jobs for Unix System Services (USS) on the mainframe.Remote job deployment to deliver and run jobs across a cluster or grid.Vector support in the parallel transformer stage.Sybase and ODBC stages added to parallel jobs.Complex Flat File stage improvements: multiple output links, automatically generated fillers, MVS dataset support.Thread based job monitoring for parallel jobs.

DataStage 7.5X2,Released in December 2004 this was the first release of parallel jobs that could run on Windows. While the Server runs on all the same Unix and Linux platforms as 7.5.1 it adds the additional platform of Windows 2003 Standard or Enterprise on the Intel x86 Processor Family.There were no changes to parallel jobs in this release apart from the capability to compile and run them on Windows.

DataStage 8,Released in October 2006 for Windows and April 2007 for Unix this is the first version to run on the IBM Information Server. There are a number of parallel job.


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