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Best Datastage Training Institute in Chennai


 5 out of 4.8 based on 254 ratings. 61 user reviews.

Join Best Datastage Training in Chennai, Datastage Training Course in Chennai

DataStage is an ETL tool which is IBM product and part of the IBM Information Platforms Solutions suite and IBM InfoSphere. It uses a graphical notation to construct data integration solutions. Datastage allows integration of the data across multiple systems and processing high volumes of the data. Datastage has the capacity to integrate meta data across the data environment to maintain consistent analytic interpretations. Datastage also provides data quality and reliability for accurate business analysis and reporting.

Softlogic is glad to inform that we are one of the best training institutions in leading IT online training. We provide best Datastage online training with highly professional real time trainers. IBM InfoSphere DataStage is an ETL tool and part of the IBM Information Platforms Solutions suite and IBM InfoSphere. It uses a graphical notation to construct data integration solutions and is available in various versions such as the Server Edition, the Enterprise Edition, and the MVS Edition. We  also do corporate training’s and help the companies to train their employees. We also resolve many queries for the clients by providing real time support.

Highlights of Datastage training:-

  • Very in depth course material with Real Time Scenarios for each topic with its Solutions for DataStage Online Training’s.
  • We Also provide Case studies  for DataStage Online Training.
  • We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts.
  • We provide you with your recorded session for further Reference.
  • We also provide Normal Track, Fast Track and Weekend Batches also for DataStage Online Training.
  • We also provide Cost Effective and Flexible Payment Schemes.

Who Can Learn Data Stage

  • Professionals from Analysts background.
  • Software Developers
  • Web Developers
  • Fresher’s / Professionals from any field
  • Graduates looking for a career in Android.

Datastage Training Course Fee and Duration

Track Regular Track Weekend Track Fast Track
Course Duration 45 - 60 Days 8 Weekends 5 Days
Hours 2 hours a day 3 hours a day 6+ hours a day
Training Mode Live Classroom Live Classroom Live Classroom

This is an approximate course fee and duration for Datastage Training. Please contact our team for current Datastage Training course fee and duration.  

Datastage Training Course Syllabus

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.

Datastage Training Reviews

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