Datastage Training Course Fee and Duration

The course fee for DataStage Classes in Chennai is reasonable and can be paid in two installments. In case you have any concerns regarding time, venue and duration you can contact our helpdesk who would be glad to assist you.

Datastage Training Course Syllabus

Our DataStage training course syllabus is structured according to current industry standards and will assist students to comprehend the DataStage concepts in detail. Our syllabus covers all the topics pertaining to DataStage technology and provides a sound grasp of live scenario to students. Our Data Stage trainers maintain a unique way of imparting DataStage in a proficient manner.

Datastage Introduction

• Datastage Architecture
• Datastage Clients
• Designer
• Director
• Administrator
• Datastage Workflow

Types of Datastage Job

• Parallel Jobs
• Server Jobs
• Job Sequences

Setting up Datastage Environment

• Datastage Administrator Properties
• Defining Environment Variables
• Importing Table Definitions

Creating Parallel Jobs

• 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

• Sequential File stage
• 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

Platform Architecture

• Describe parallel processing architecture Describe pipeline & partition parallelism
• List and describe partitioning and collecting algorithms
• Describe configuration files
• Explain OSH & Score

Combining Data

• Combine data using the Lookup stage
• Combine data using merge stage
• Combine data using the Join stage
• Combine data using the Funnel stage

Sorting and Aggregating Data

• Sort data using in-stage sorts and Sort stage
• Combine data using Aggregator stage
• Remove Duplicates stage

Transforming Data

• Understand ways Datastage allows you to transform data
• Create column derivations using userdefined code and system functions
• Filter records based on business criteria
• Control data flow based on data conditions

Repository Functions

• Perform a simple Find
• Perform an Advanced Find Perform an impact analysis
• Compare the differences between two Table Definitions and Jobs.

Working with Relational Data

• 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.

Metadata in Parallel Framework:

• 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.

Job Control

• 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.

Download DataStage Training Course Syllabus

Special Features of DataStage

DataStage has several data types, simple metadata management and dedicated OSH to run high volume activities in a reduced span. The ETL transformation will demonstrate an amazing improvement in both time and resources when executed in DataStage due to its core parallelism feature. DataStage offers full integration facilities to the file servers including Linux, Hadoop, UNIX, and reputed scripting languages including PERL, SHELL etc. DataStage also offers separate interface for web-based java and chains web service and XML.

Roles and Responsibilities of a DataStage Developer

• Offer technical support to team and analyze all codes
• Build and execute tests on all DataStage jobs
• Supervise all data stage jobs and offer production support to everyone
• Frame and evaluate all ETL jobs edition
• Control work and execute all business regulations
• Coordinate with team members and monitor all onsite and offshore work packages
• Schedule and plan every DataStage activity
• Go through all functional business applications and specifications
• Frame several block diagrams and logic flowcharts
• Form several computer software designs
• Maintain and carry out tests on all stages SDLC and ascertain needed product
• Have a record of all program level and user level processes
• Frame and maintain several data warehouses.
• Form ETL architecture and related procedures
• Assess performance and supervise work with capacity planning

What is the benefit of studying in the top DataStage Training Center in Chennai?

Softlogic is committed to provide quality training on all the courses that it offers. DataStage training in Softlogic is offered so that the candidate gets a thorough understanding of this platform. The batch sizes are kept small so that there is personal attention to the students. The students can also get their doubts cleared in an effective manner through these small batch sizes. Besides, Softlogic gives importance to practical training and makes the candidate ready for the live job.

Future Scope of DataStage

DataStage has a good future. Earlier, ETL tools were only used for data warehousing but now applied for various other types of data-intensive activities including data export, data migration etc. There is the surge of rules-based data processing and this trend will continue for the purpose of good business activities through an ETL tool.