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KM404 IBM InfoSphere Advanced DataStage - Parallel Framework (v11.5)

4.6 out of 5 rating

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3 Days

18 CPD hours

About this course

Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek an understanding of the parallel framework architecture.


In this course, students will develop a deeper understanding of the DataStage architecture, including a deeper understanding of the DataStage development and runtime environments.

Introduction to the Parallel Framework Architecture
  • Describe the parallel processing architecture
  • Describe pipeline and partition parallelism
  • Describe the role of the configuration file
  • Design a job that creates robust test data
Compiling & Executing Jobs
  • Describe the main parts of the configuration file
  • Describe the compile process and the OSH that the compilation process generates
  • Describe the role and the main parts of the Score
  • Describe the job execution process
Partitioning & Collecting Data
  • Understand how partitioning works in the Framework
  • Viewing partitioners in the Score
  • Selecting partitioning algorithms
  • Generate sequences of numbers (surrogate keys) in a partitioned, parallel environment
Sorting Data
  • Sort data in the parallel framework
  • Find inserted sorts in the Score
  • Reduce the number of inserted sorts
  • Optimize Fork-Join jobs
  • Use Sort stages to determine the last row in a group
  • Describe sort key and partitioner key logic in the parallel framework
Buffering in Parallel Jobs
  • Describe how buffering works in parallel jobs
  • Tune buffers in parallel jobs
  • Avoid buffer contentions
Parallel Framework Data Types
  • Describe virtual data sets
  • Describe schemas
  • Describe data type mappings and conversions
  • Describe how external data is processed
  • Handle nulls
  • Work with complex data
Reusable Components
  • Create a schema file
  • Read a sequential file using a schema
  • Describe Runtime Column Propagation (RCP)
  • Enable and disable RCP
  • Create and use shared containers
Balanced Optimization
  • Enable Balanced Optimization functionality in Designer
  • Describe the Balanced Optimization workflow
  • List the different Balanced Optimization options.
  • Push stage processing to a data source
  • Push stage processing to a data target
  • Optimize a job accessing Hadoop HDFS file system
  • Understand the limitations of Balanced Optimizations
Additional course details:

Nexus Humans KM404 IBM InfoSphere Advanced DataStage - Parallel Framework (v11.5) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the KM404 IBM InfoSphere Advanced DataStage - Parallel Framework (v11.5) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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