IBM InfoSphere Advanced DataStage V8

Описание Курса:

 

This course is designed to introduce advanced job development techniques in DataStage V8.5.

Roadmaps that reference this course are:

 

• DataStage Integration Developer - New to Information Server
• DataStage Integration Developer - DataStage Parallel Jobs
• DataStage Integration Developer - New to DataStage Parallel Jobs
• Information Analysis – Data Integration Architect
   

Аудитория:

This course is for experienced DataStage developers seeking training in more advanced DataStage techniques and who seek an understanding of the parallel framework architecture.

Предварительная подготовка:

You should complete:

• DataStage Essentials course or equivalent
• and have at least one year of experience developing parallel jobs using DataStage.

Сертификация:

Содержание:

• Unit 1 - Introduction to the Parallel Framework Architecture
• Unit 2 - Compilation and Execution
• Unit 3 - Partitioning and Collecting Data
• Unit 4 - Sorting Data
• Unit 5 - Buffering in Parallel Jobs
• Unit 6 - Parallel Framework Data Types
• Unit 7 - Reusable components
• Unit 8 - Advanced Transformer Logic
• Unit 9 - Extending the Functionality of Parallel Jobs
• Unit 10 - Accessing Databases (start if there is time)
• Unit 11 - Processing XML Data
• Unit 12 - Slowly Changing Dimensions Stages
• Unit 13 - Best Practices

Приобретаемые навыки:

• Describe the parallel processing architecture and development and runtime environments
• Describe the compile process and the runtime job execution process
• Describe how partitioning and collection works in the parallel framework
• Describe sorting and buffering in the parallel framework and optimization techniques
• Describe and work with parallel framework data types
• Create reusable job components
• Use loop processing in a Transformer stage
• Process groups in a Transformer stage
• Extend the functionality of DataStage by building custom stages and creating new Transformer functions
• Use Connector stages to read and write from relational tables and handle errors in Connector stages
• Process XML data in DataStage jobs using the XML stage
• Design a job that processes a star schema database with Type 1 and Type 2 slowly changing dimensions
• List job and stage best practices

Документы об окончании курса / Материалы и сертификаты: