DataStage Training

Guys, now you got an opportunity to get aligned yourselves what IT or Data Analytics companies needed. All industry needs is data should be properly processed with efficient tools like Datastage. We give trainings in Datastage 8.7, 9.1, 11.3 version, Datastage architecture, Configuration files, Node concepts, Datastage Topologies, partition techniques, RCP, Multiple Instance, Routines, Environment variables, etc.
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139 Ratings
178 Learners
25 Hours
15 Hours
365 Days
24 / 7 Support
Online Classroom
Attend our Instructor Led Online Virtual Classroom
USD 421 USD 350Enroll now
One to One Training
Get 1-to-1 Live Instructor Led Online Training in flexible timings
USD 510 USD 430Enroll now

About Course

This course gives you a clear understanding about how to use DataStage. Even a non-programming and IT back ground can learn this DataStage training.

Every Day, we starts our life real time data for with any of following transaction Bank transactions, Insurance domain, Logistics, Telecom, Retails, Call center calls, Dynamic data . Every information are captured in files, Database, XML files, Data files, Unix files etc. These data are processed into Database for analytical purpose. Every day data are collected with triples the amount. Now Infosphere Information server (Datastage) is used to process those unstructured data.

This training will be suitable for,

  • Working IT professionals
  • Job Seekers
  • Who wants to change their work area.

Prerequisite:Knowledge in computers and understanding about basic programs.

Datastage is one of the efficient tools in markets for processing the data. There are tremendous opportunity in IT sector who are ready to pay high packages. Come grab them with both hands!!!

This DataStage training will be happen for 25 hours. If you opt for weekend classes both Saturday and Sunday you will be having approximately 2 hours 30 mins in scheduled time of the batch you chose. If you opt of weekdays classes all Monday to Friday you need to spend at-least 90mins.

DataStage Syllabus

Datastage Introduction

Datastage Overview

  • Datastage History
  • DataStage Architecture
  • Datastage Topology
  • DataStage Components
  • Server Components
  • Client Components
  • DataStage Workflow

Types of DataStage Job

  • Parallel Jobs
  • Server Jobs
  • Job Sequences

Datastage Administrator

  • Creating Projects
  • Enabling RCP
  • Overview of Other Mandatory properties

Server Jobs

  • Creating simple server job
  • Monitoring the jobs at runtime
  • Transformer and lookups
  • Stage variables

Parallel Jobs

  • Parallel job overview
  • Implementing Pipelining and Paralleling techniques in jobs
  • Compile and trigger the job in Director
  • View the job log
  • Sub routines

Partitioning techniques

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

Sequential or unstructured data

  • Sequential File stage
  • Data Set stage
  • File Set stage
  • Complex Flat File stage
  • Fixed length and Variable length files
  • Create jobs that read from and write to sequential files
  • Read from multiple files using file patterns
  • Null handling in Sequential File Stage
  • Handling Excel sheets, .csv files

Configuration files

  • Overview of Configuration files
  • Node concepts
  • Conductors, Section leaders and Players
  • Creating Configuration files

Grouping 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

  • Transforming the data with Constraints, Derviation
  • Column derivations using user defined code and system functions
  • Filter records based on business logic
  • 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

Flow or Controlling Jobs

  • 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
  • Define user variables
  • Enable restart
  • Handle errors and exceptions
  • Custom Job triggers in Sequence job

Advanced Features

  • Run-Time column propagation(RCP)
  • Multiple Instances
  • Sub Routines
  • Command Line
  • Implementing Parameter in Jobs
  • Creating Parameters set
  • Standardization of DS Job
  • Etiquettes in Job Designing

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
29 Feb 2020 28 Mar 2020 (08:30 AM - 12:00 PM) Sat,Sun
28 Feb 2020 28 Mar 2020 (08:30 PM - 12:00 AM) Fri-Tue

DataStage Certification

At end of our course, you will be assigned to work a real-time project. Once you completed assigned project with expected results we (Experts Team from GangBoard) will verify and issue DataStage Certificate. If you are not able to deliver expected results in project we will support you by clarifying doubts and help you to re-attempt the project.

DataStage Training Reviews


Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

No. MDM is a separate horizontal. It is not mandatory to be a developer before for learning this DataStage training. But slight knowledge of Database is required.

Basically >2GB RAM will be fine for installing DataStage

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

We are providing DataStage online training, One-to-One training with the help of experts. Our learners and trainers are frequently coming from different countries like USA, India, UK, Australia, New Zealand, Canada and UAE. To specify in cities London, Bangalore, California, New York, Pune, Mumbai, Chennai, New Delhi, San Francisco, New Jersey, Texas, Florida, Kolkata, Gurgaon, Berlin and Hyderabad among many.

If you want to know More Details about this Datastage Online Training Please Contact  +91-9791273737 / +91-9791237373. Or you can share your quires through Estimated turnaround time will be 24 hours for emails.

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5out of 5based on 139 ratings. 178 user reviews.