Ten Reasons Why You Need DataStage Inosphere 8.5

Ten Reasons Why You Need DataStage 8.5

taken a look through the new functions and capabilities of DataStage 8.5 and come up with a top ten list of why you should upgrade to it.

Information Server 8.5 came out a couple weeks ago and is currently available on IBM Passport Advantage for existing customers and from IBM PartnerWorld for IM partners.  The XML pack described below is available as a separate download from the IBM Fix Central website.

This is a list of the ten best things in DataStage 8.5.  Most of these are improvements in DataStage Parallel Jobs only while a couple of them will help Server Job customers as well.

1. It’s Faster

Faster, faster, faster.  A lot of tasks in DataStage 8.5 are at least 40% faster than 8.1 such as starting DataStage, opening a job, running a Parallel job and runtime performance have all improved.

2. It' is now an XML ETL Tool

Previous versions of DataStage were mediocre at processing XML.  DataStage 8.5 is a great XML processing tool.  It can open, understand and store XML schema files.  I did a longer post about just this pack in New Hierarchical Transformer makes DataStage great a XMLTool and if you have XML files without schemas you can follow a tip at the DataStage Real Time blog: The new XMLPack in 8.5….generating xsd’s….

The new XML read and transform stages are much better at reading large and complex XML files and processing them in parallel:

3. Transformer Looping

The best Transformer yet.  The DataStage 8.5 parallel transformer is the best version yet thanks to new functions for looping inside a transformer and performing transformations across a grouping of records.

With looping inside a Transformer you can output multiple rows for each input row.  In this example a record has a company name and four revenue sales figures for four regions – the loop will go through each column and output a row for each value if it is populated:

4. Transformer Remembering

DataStage 8.5 Transformer has Remembering and key change detection which is something that ETL experts have been manually coding into DataStage for years using some well known workarounds.  A key change in a DataStage job involves a group of records with a shared key where you want to process that group as a type of array inside the overall recordset. 

I am going to make a longer post about that later but there are two new cache objects inside a Transformer – SaveInputRecord() and GetSavedInputRecord(0 where you can save a record and retrieve it later on to compare two or more records inside a Transformer. 

There are new system variables for looping and key change detection - @ITERATION, LastRow() indicates the last row in a job, LastTwoInGroup(InputColumn) indicates a particular column value will change in the next record.

Here is an aggregation example where rows are looped through and an aggregate row is written out when the key changes:

4. Easy to Install

Easier to install and more robust.  DataStage 8.5 has the best installer of any version of DataStage ever.  Mind you – I jumped aboard the DataStage train in version 3.6 so I cannot vouch for earlier installers but 8.5 has the best wizard, the best pre-requisite checking and the best recovery.  It also has the IBM Support Assistant packs for Information Server that make debugging and reporting of PMRs to IBM much easier.  There is also a Guide to Migrating to InfoSphere Information Serve 8.5 that explains how to migrate from most earlier versions.

See my earlier blog post Why Information Server 8.5 is Easier to Install thanInformation Server 8.1.

Patch Merge – that’s right, patch merge.  The new installer has the ability to merge patches and fixes into the install for easier management of patches and fixes.

5. Check In and Check Out Jobs

Check in and Check out version control.  DataStage 8.5 Manager comes with direct access to the source control functions of CVS and Rational ClearCase in an Eclipse workspace.  You can send artefacts to the source control system and replace a DataStage component from out of the source control system.

DataStage 8.5 comes with out of the box menu integration with CVS and Rational ClearCase but for other source control systems you need to use the Eclipse source control plugins.

6. High Availability Easier than ever

High Availability – the version 8.5 installation guide has over thirty pages on Information Server topologies including a bunch of high availability scenarios across all tiers of the product.  On top of that there are new chapters for the high availability of the metadata repository, the services layer and the DataStage engine.

• Horizontal and vertical scaling and load balancing.
• Cluster support for WebSphere Application Server.
• Cluster support for XMETA repository: DB2 HADR/Cluster or Oracle RAC.
• Improved failover support on the engine.

7. New Information Architecture Diagramming Tool

InfoSphere Blueprint Direct – DataStage 8.5 comes with a free new product for creating diagrams of an information architecture and linking elements in the diagram directly into DataStage jobs and Metadata Workbench metadata.  Solution Architects can draw a diagram of a data integration solution including sources, Warehouses and repositories.

8. Vertical Pivot

There are people out there who have been campaigning for vertical pivot for a long time – you know who you are!  It is now available and it can pivot multiple input rows with a common key into output rows with multiple columns.  Key based groups, columnar pivot and aggregate functions.

You can also do this type of vertical pivoting in the new Transformer using the column change detection and row cache – but the Vertical pivot stage makes it easier as a specialised stage.

9. Z/OS File Stage

Makes it easier to process complex flat files by providing native support for mainframe files.  Use it for VSAM files – KSDS, ESDS, RRDS.  Sequential QSAM, BDAM, BSAM.  Fixed and variable length records.  Single or multiple record type files.

10.  Balanced Optimizer Comes Home

In DataStage 8.5 the Balanced Optimizer has been merged into the Designer and it has a number of usability improvements that turns DataStage into a better ETLT or ELT option.  Balanced Optimizer looks at a normal DataStage job and comes up with a version that pushes some of the steps down onto a source or target database engine.  IE it balances the load across the ETL engine and the database engines.

Version 8.5 has improved logging, improved impact analysis support and easier management of optimised versions of jobs in terms of creating, deleting, renaming, moving, compiling and deploying them.