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Course Description
This DataStage online training will equip you with the proficiency needed to work with the IBM DataStage tool. DataStage is an ETL tool that uses a graphical notation for the integration of data. This is a flagship product of IBM in the Business Intelligence domain.
Course Schedule
Upcoming course schedule will be updated soon
Choose the best training mode which suits to your requirement
Live online training
- Live interactive online training
- Daily Assignments and Lab exercises
- Resume and certification guidance
- Mock interview and live project assistance
- Resume marketing and job assistance
Mentoring mode training
- Recorded videos and Trainer support
- Topic wise assignments and lab exercises
- Resume and certification guidance
- Mock interview and live project assistance
- Resume marketing and job assistance
Live online training and internship
- Recorded videos and Trainer support
- Daily assignments and lab exercises
- Resume and certification guidance
- Project internship and certification
- Resume marketing and job assistance
Course Content
Introduction to the IBM Information Server Architecture, the Server Suite components, the various tiers in the Information Server.
Understanding the IBM InfoSphere DataStage, the Job life cycle to develop, test, deploy and run data jobs, high performance parallel framework, real-time data integration.
Introduction to the design elements, various DataStage jobs, creating massively parallel framework, scalable ETL features, working with DataStage jobs.
Understanding the DataStage Job, creating a Job that can effectively extract, transform and load data, cleansing and formatting data to improve its quality.
Learning about data parallelism – pipeline parallelism and partitioning parallelism, the two types of data partitioning – Key-based partitioning and Keyless partitioning, detailed understanding of partitioning techniques like round robin, entire, hash key, range, DB2 partitioning, data collecting techniques and types like round robin, order, sorted merge and same collecting methods.
Understanding the various job stages – data source, transformer, final database, the various parallel stages – general objects, debug and development stages, processing stage, file stage types, database stage, real time stage, restructure stage, data quality and sequence stages of InfoSphere DataStage.
Understanding the parallel job stage editors, the important types of stage editors in DataStage.
Working with the Sequential file stages, understanding runtime column propagation, working with RCP in sequential file stages, using the sequential file stage as a source stage and target stage.
Understanding the difference between dataset and fileset and how DataStage works in each scenario.
Creating of a sample DataStage job using the dataset and fileset types of data.
Learning about the various properties of Sequential File Stage and Dataset stage.
Creating a lookup file set, working in parallel or sequential stage, learning about single input and output link.
Studying the Transformer Stage in DataStage, the basic working of this stage, characteristics -single input, any number of outputs and reject link, how it differs from other processing stages, the significance of Transformer Editor, and evaluation sequence in this stage.
Deep dive into Transformer functions – String, type conversion, null handling, mathematical, utility functions, understanding the various features like constraint, system variables, conditional job aborting, Operators and Trigger Tab.
Understanding the looping functionality in Transformer Stage, output with multiple rows for single input row, the procedure for looping, loop variable properties.
Datastage Training Training FAQs
Once you complete the Hachion training program along with all the real-world projects, quizzes and assignments and upon scoring at least 60% marks in the qualifying exam; you will be awarded the Hachion verified certification. This certificate is very well recognized in Hachion affiliate organizations which include over 80 top MNCs from around the world which are also part of the Fortune 500 list of companies.
Related Courses
Grab a chance to work with one of my reputed partner in IT Industry
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