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IBM InfoSphere DataStage Essentials 9.1 (KM202)

This course is designed to provide users with a comprehensive understanding of Data Stage, its uses and  its work flow.

Virtual

Learning Style

IBM

Provider

Beginner

Difficulty

4 Days

Course Duration

Course Info

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This course is designed to provide users with a comprehensive understanding of Data Stage, its uses and  its work flow.

Course Information

About this Course:

This course is designed to provide users with a comprehensive understanding of Data Stage, its uses and  its work flow. This course will also go into the details of Information Server architecture and the role of Data stage in Information Server architecture. Following a brief overview, the course will delve into the details of Data stage such as deployment options. The participants will be taught how to configure the Data Stage environment. Moreover, students will be trained to utilize Data Stage Administrator client and the Information Server Web Console to build Data stage users .

Course Objectives:

By the end of this course, the students should be have learnt the following skills and be able to

  • Acquire the skill to import table definitions for relational tables and sequential files
  • Acquire the skill to Import and export Data Stage objects to a file
  • Create jobs which are able to read and write to sequential files.
  • Know how to design, compile, run and monitor parallel jobs
  • Learn how to Design jobs that use lookups and joins to combine data
  • Define and demonstrate the parallel processing architecture of Data Stage
  • Learn how to create jobs that are able to aggregate and sort data
  • Learn the skill needed to debug Data Stage jobs via the Data Stage PX Debugger
  • Learn how to effectively use the Data stage Transformer stage to execute complex business logic
  • Know how to use the repository functions such as search and impact analysis.
  • Learn how to manage and control individual batches of jobs by creating job sequences.
  • Gain a comprehensive understanding of the usage of Data stage, First track and Meta data workbench.
  • Learn how to use data stage DB2 and ODBC Connector stages to read and write to database tables.

Audience:

This course is designed to train developers and project administrators  to carry out data extractions and transformations through a basic comprehensive understanding of Data Stage to ETL.

Prerequisites:

The following prerequisites are an absolute requirement for attending this course.

  • Comprehensive knowledge of the basics of Windows OS
  • A basic knowledge of database access techniques.

Outline

More Information

More Information
Brand IBM
Subjects IT Ops & Management
Lab Access No
Technology IBM
Learning Style Virtual Classroom
Learning Type Course
Difficulty Beginner
Course Duration 4 Days
Language English

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Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

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