datastage online training

OHO Training

DataStage Online Training with Free tutorials

Datastage from IBM is one of the leading ETL tools in the market. Extraction, Transformation & Loading is one of the most important and inevitable processes in the industry for the making of decision support system which is known by different names such as Data Warehouse, Data Mart or Data Mining. It is recognized as one of the best ETL tools for the industrial analytical needs. Datastage is responsible for the extraction, translation, and loading of data from source to the target destination.


datastage online training

datastage online training

IBM Datastage is a powerful ETL tool that is top rated by Gartner and which is widely accepted by leading Retail, Banking, Insurance & Healthcare industries towards converting their OLTP and giving solutions into the DSS System. IBM DataStage is a very much user-friendly GUI tool which helps to handle complex requirements and easy to convert heterogeneous data from multiple sources in a simple manner.


One of the best places to get Datastage Training is OHO Training which is provided by Real time working Experts. This course is specially designed to introduce ETL developers to DataStage. We also provide Datastage Training, Data Warehousing Training, ETL Tool Training, Data Modeling with real-world ETL process implementations which are organized in Datastage training classes.

OHO Training is one of the best online Datastage training institutes in the US which offers hands-on Datastage courses are with Job Placement by ETL professionals having Data Warehouse projects experience using DataStage ETL tool for more than 10 years.


The DataStage online training classes are completely hands-on with practical and interactive sessions which are paired with real-time methodologies, project scenarios as well as interview guidance exclusively on Datastage. The training will be covering all the stages in the tool from an ETL developer perspective. All sessions will be having hands-on sessions with scenario-based exercises to help participants to learn the real world setup and how it works. It is recommended to everyone who has basic SQL knowledge and who wish to be an ETL developer.


Who is this Datastage suitable for?


IBM Datastage is best suitable for freshers, professionals looking for are looking for good career growth. Candidates who are fresh from campus having a degree and Professionals who are working in Testing, MainFrame, Production Support, SQL/PL, SQL Developers, Project Leads & Project Managers and they can become a Data Analyst, Data Researcher, Data Scientist.

IBM Datastage is a user-friendly GUI tool which is helpful for candidates who are not interested in in-depth coding development. The course is designed for Technical Professionals, Architect and Infrastructure Administrators who want to learn continuous Integration for day to day activities or knowledge purpose.


Here are some of the Datastage Course objectives


  • You will be learning about parallel processing architecture and development and runtime environments
  • You will get an idea of the compile process and the runtime job execution process
  • How partitioning and collection works in the parallel framework
  • Understand sorting and buffering in the parallel framework and optimization techniques
  • How to work with parallel framework data types
  • Ability to create reusable job components
  • Learn how to use loop processing in a Transformer stage
  • Know how the Process groups work in a Transformer stage
  • You will learn how to extend the functionality of DataStage by building custom stages and creating new Transformer functions
  • Learn in detail about how to use Connector stages to read and write from relational tables and handle errors in Connector stages
  • Know how to Process XML data in DataStage jobs using the XML stage
  • Design a job that processes a star schema database by slowly changing dimensions
  • You will learn how to handle huge volumes of data process, Performance tuning, Job Control and the best practices on DataStage
  • Work on case studies and real-time projects.


How are the job opportunities in Datastage


Datastage ETL tools are used in major MNCs, IT sectors, Banks, Insurance, Healthcare & Retail industries. There is a huge demand for Datastage professionals who are both fresher’s as well as experienced level who are also having good analytical & technical skill sets. STEM graduates and freshers can take up the course as it will be leading to a good career ahead of them.


  • DataStage Architecture
  • DataStage Clients
  • Designer
  • Director
  • Administrator
  • DataStage Workflow
  • Parallel Jobs
  • Server Jobs
  • Job Sequences
  • 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)
  • 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
  • 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 userdefined 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.



Matt Demon

Learning Scientist & Master Trainer
Matt Demon has been a professional educator
for the past 18 years. He’s taught, tutored,
and coached over 900+ students, and he
holds degrees in Computer Science
from Harvard University. He has
spent the last 7 years studying how
people learn to code and develop applications.

John Britto
Learning Scientist & Master Trainer
He has been a professional educator for
the past 17 years. He’s taught, tutored,
and coached over 700 students, and
he holds degrees in Information Technology
from Brooklyn University. He has
spent the last 8 years studying how
people learn to code and develop applications.


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