IBM Websphere Datastage

Business Intelligence Training Overview

Learn how to build DataStage jobs that read and write to and from a variety of data store including sequential file,data sets,and relational tables. Also,learn how to build parallel jobs that process data in a variety of ways

What you will learn

  • Combine data using lookup, join, and merge stages
  • Create jobs that read from and write to sequential files
  • Make jobs that read from and write to a relational database using the connector stages
  • Build jobs that process data using transformations, combinations, filtering's, Sorting's and Aggregations
  • Conduct searches and impact analyses
  • Produce job reports
  • Construct Database projects
  • Working with the Datastage environment
Business Intelligence Audience

This is a basic course for those responsible for data Extraction And transformation using DataStage.

Business Intelligence Prerequisites
  • Knowledge of UNIX or NT administration.
  • Knowledge of TCP/IP and basic network principles.
  • Data modeling experience.
  • Familiarity with open Database(ODBC) and relation database
  • access. .
Business Intelligence Training Course duration

Five (5) Days Classroom & Lab Session

Business Intelligence Training Course outline

Day 1

DataStage Introduction and server Job
  • Details of Datastage overview
Datastage Client Tools
  • Designer
  • Director
  • Administrator
Datastage Server Job
  • Transformer Stage
    • Properties, processing.
  • Sort Stage
    • Properties, processing
  • Aggregator Stage
    • Properties , Processing.
Lab Follows after every topic (Approx 30 Mins).

Day 2

Datastage Parallel Job
  • File Stage:
    • Sequential File Stage
    • Data Set File Stage
  • Database Stage.
    • Oracle Enterprise Stage
    • ODBC Stage
  • Processing Stages
    • Filter Stage
      • Properties, Processing
    • Switch Stage
      • Properties, Processing
    • Sort Stage
      • Properties, Processing
Lab Follows after every topic (Approx 30 Mins).

Day 3
  • Transformer Stage
    • Properties, Processing
  • Copy Stage
    • Properties, Processing
  • Aggregator Stage
    • Properties, Processing
  • Remove Duplicates Stage
    • Properties, Processing
  • Funnel Stage
    • Properties, Processing
  • Join Stage
    • Properties, Processing
Lab Follows after every topic (Approx 30 Mins).

Day 4
  • Merge Stage.
    • Properties, Processing
  • Lookup Stage (Simple & Range).
    • Properties, Processing
  • Container.
    • Local Container
    • Shared Container
  • Working With Parameters
    • Job Parameters
    • Parameters Sets
Lab Follows after every topic (Approx 30 Mins).

Day 5
  • Change Capture.
    • Properties, Process
  • Change Apply.
    • Properties, Process
  • Job Sequence.
    • Properties, Process
  • Performance Tuning.
  • Slowly Changing Dimensions(I,II,III) - Theoretical
  • Job Sequence
  • Deployment(Dev-->Test-->Prod)
Lab Follows after every topic (Approx 30 Mins).



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