The popular Server to Parallel Transition Lab will be held in Dallas in early March! The last lab sold out in less than two weeks, so please reserve your seats as soon as possible (see the link at the end of the article).

If you want to expand your opportunities by learning DataStage Enterprise Edition (PX), the Server to Parallel Transition Lab is just what you've been looking for. It will give you a chance to walk through exercises and examples specifically crafted to bring you up to speed on developing in Enterprise Edition.

We know that many of you require as much notice as possible in order to clear your schedules, so we are sending out this initial notice even though the hotel arrangements are still being finalized. The lab is scheduled for March 6th - 8th and will be held in the Dallas / Ft. Worth metro area.

Audience

Server to Enterprise Edition Transition is a mentored environment that will help experienced DataStage Server developers become acquainted with developing within the Enterprise Edition (PX) parallel paradigm.

• Parallelism principles in server and parallel jobs
• Server and parallel architectures
• Data Sets and File Sets
• Orchestrate framework: operators and schemas
• Configuration: processing nodes, node pools, resources, resource pools
• Sequential files in parallel jobs
• Mandatory and optional, single and multiple properties, sub-properties
• Development and debug stages
• Combining data: lookups and other techniques
• Modifying and transitioning data
• Enterprise stages for database access
• Orchestrate shell (osh)
• Introduction to custom stages

Description

Designing parallel jobs is a rather different skill than designing server jobs, indeed there are some aspects of job design that need to be "unlearned" and other temptations that need to be resisted when someone moves from designing server jobs to designing parallel jobs.

This lab is not meant for untrained developers. It begins with the assumption that the attendee is familiar and competent with the DataStage Server job environment. Quite a few examples are based on how a parallel job solution to a particular design problem differs from a server job solution.

Equipment

A Linux server with DataStage Enterprise Edition will be provided. Students must bring a laptop with a release 7 (7.5.1 or later preferred) DataStage client installed. Wireless and 100-base-T Ethernet connections will be made available.

Date, Location and Price