Training in BTM Layout is a leading Training as well as Placement company with experience in leading IT Sectors of India. Our training reproduces the latest technologies, techniques, as well as processes that are advanced in practical knowledge collected from years of experience. DataStage Training in BTM Layout offers planned training paths intended for the certification skills necessary to work in latest technological environment, while offering a wide-ranging curriculum of application centric courses for customers looking to implement upgraded/new business applications. The purpose of software Professional training is to help students to advance their knowledge overtime while being acknowledged for their achievement.

DataStage Training in BTM Layout is an outstanding Online and corporate training center. We provide a number of tailored training programs for small, medium along with big organizations in Bangalore and across India. Our training courses are very cost effective for all clients/students plus students. Our training Syllabus is prepared from the team of experts and the students can improve from basic knowledge to advance level. Our Syllabus includes Datastage Introduction , Types of DataStage Job , Setting up DataStage Environment , Creating Parallel Jobs , Accessing Sequential Data , Platform Architecture , Combining Data , Sorting and Aggregating Data , Transforming Data , Repository Functions , Metadata in Parallel Framework , Job Control with real time experience.

Training in BTM Layout is one of the greatest Software training institutes in Bangalore with 100% placement support. It has well defined training modules in addition to training sessions for pupils. At DataStage Training in BTM Layout, training is conducted in day time classes on all weekdays as well as weekends to suit the timings for all students and working professionals .DataStage Training in BTM Layout helps you acquire a foothold in the growing IT & ITeS industry. 100% Placement Assistance- While a student finishes his/ her course effectively, our dedicated Placement Cell arranges interviews with major companies. This wide hands-on experience in Software training ensures that you captivate the knowledge as well as skills that you can apply at work after your placement. All of our mentors are work specialists with years of experience in well recognized IT sectors. Learning from the work experts is the only method to understand what happens in the actual IT world.

Session : 1 – Datastage Introduction

  • DataStage Architecture
  • DataStage Clients
  • Designer
  • Director
  • Administrator
  • DataStage Workflow

Session : 2 – Types of DataStage Job

  • Parallel Jobs
  • Server Jobs
  • Job Sequences

Session : 3 – Setting up DataStage Environment

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

Session : 4 – 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)

Session : 5 – 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

Session : 6 – Platform Architecture

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

Session : 7 – 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

Session : 8 – Sorting and Aggregating Data

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

Session : 9 – 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

Session : 10 – Repository Functions

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

Session : 11 – 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.

Session : 12 – 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.

Session : 13 – 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.

Thanks for the best ever Training. I did my Android Course here. Trainer is very good in knowledge. They provides the best ever Support to me.

Kaviya