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Course Overview
Ecorp trainings located in lakdikapul, Hyderabad is a leading DataStage training institute providing real-time Training Courses in Hyderabad. Our DataStage Training Centre in Hyderabad is well equipped with modern lab facilities and digital class rooms that provide our students an excellent atmosphere to learn. Our DataStage Training course content/syllabus is designed keeping in mind the industry needs and current market scenario which empowers our students to be skilled professionals and job ready after successful completion of the course.
IBM InfoSphere Data Stage integrates data across multiple and high volumes of data sources and target applications. It integrates data on demand with a high performance parallel framework, extended metadata management, and enterprise connectivity.IBM Data Stage offers scalable platform that enables companies to solve large-scale business problems through high-performance processing of massive data volumes and supports real-time data integration.
At the end of the training, participants will be able to:
Pre-requisite
- Knowledge of the Windows OS
- Familiarity with Open Database Connectivity (ODBC) and relational database access technique
Duarion
5 days
Course Outline
- Datastage Architecture
- Datastage Clients
- Designer
- Director
- Administrator
- Datastage Workflow
- Parallel Jobs
- Server Jobs
- Job Sequence
- Datastage Administrator Properties
- Defining Environment Variables
- Importing Table Definitions
- Design a simple Parallel job in Designer
- Compile your job
- Run your job in Director
- View the job log
- Command Line Interface (dsjob)
- Accessing Sequential Data
- Data Set stage
- Complex Flat File stage
- Create jobs that read from and write to sequential files
- Read from multiple files using file patterns
- Use multiple readers
- Null handling in Sequential File Stage
- Describe parallel processing architecture Describe pipeline & partition parallelism
- List and describe partitioning and collecting algorithms
- Describe configuration files
- Explain OSH & Score
- Combine data using the Lookup stage
- Combine data using merge stage
- Combine data using the Join stage
- Combine data using the Funnel stage
- Sort data using in-stage sorts and Sort stage
- Combine data using Aggregator stage
- Remove Duplicates stage
- Understand ways Datastage allows you to transform data
- Create column derivations using user defined code and system functions
- Filter records based on business criteria
- Control data flow based on data conditions
- Perform a simple Find
- Perform an Advanced Find Perform an impact analysis
- Compare the differences between two Table Definitions and Jobs.
- Import Table Definitions for relational tables.
- Create Data Connections.
- Use Connector stages in a job.
- Use SQL Builder to define SQL Select statements.
- Use SQL Builder to define SQL Insert and Update statements.
- Use the DB2 Enterprise stage.
- Explain schemas.
- Create schemas.
- Explain Runtime Column Propagation (RCP).
- Build a job that reads data from a sequential file using a schema.
- Build a shared container.
- Use the Datastage Job Sequencer to build a job that controls a sequence of jobs.
- Use Sequencer links and stages to control the sequence a set of jobs run in.
- Use Sequencer triggers and stages to control the conditions under which jobs run.
- Pass information in job parameters from the master controlling job to the controlled jobs.
- Define user variables.
- Enable restart.
- Handle errors and exceptions.
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