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Key Features

25 Hrs Instructor Led Training
Certification & Job Assistance
20 hrs of Lab Sessions
Pay in 2 Installments
Flexible Schedule
24 x 7 Lifetime Support

DataStage Course Content

  • An introduction to Data Warehousing
  • Purpose of Data Warehouse
  • Data Warehouse Architecture
  • Operational Data Store
  • OLTP Vs Warehouse Applications
  • Data Marts
  • Data marts Vs Data Warehouses
  • Data Warehouse Life cycle
  • Introduction to Data Modeling
  • Entity Relationship model (E-R model)
  • Data Modeling for Data Warehouse
  • Normalization process
  • Dimensions and fact tables
  • Star Schema and Snowflake Schemas
  • Introduction to Extraction
  • Transformation & Loading
  • Types of ETL Tools
  • Key tools in the market
  • Data stage project Administration
  • Editing projects and Adding Projects
  • Deleting projects and Cleansing up project files
  • Environmental Variables
  • Environment management
  • Auto purging
  • Runtime Column Propagation(RCP)
  • Add checkpoints for sequencer
  • NLS configuration
  • Generated OSH (Orchestra Engine)
  • System formats like data timestamp
  • Projects protect – Version details
  • Introduction to Data stage Director
  • Validating Data stage Jobs
  • Executing Data stage jobs
  • Job execution status
  • Monitoring a job, Job log view
  • Job scheduling
  • Creating Batches
  • Scheduling batches
+ 6 more lessons


  • To test your knowledge on DataStage Training, you will be required to work on two industry-based projects that discuss significant real-time use cases. This will also ensure hands-on expertise in DataStage Training concepts.
  • These projects are completely in-line with the modules mentioned in the curriculum.

Problem statement: How to collect, classify, and analyze spend data to optimize company performance?

Description: An XYZ company wants to review the procurement spend data to identify savings opportunities, manage risks, and maximize efficiency. To achieve this, it needs to get insights into the purchase history of who, what, when, where, why, and how of company expenditures. The company is interested in spend analytics to get all the benefits of the spend cube.

Actions to be performed:

  • Identify relevant spend data sources

  • Data extraction

  • Data cleansing

  • Streamline and centralize procureme

Problem statement: How to manage and protect your customer data effectively to improve company overall services?

Description: A company wants to enhance its customer experience by collecting, managing, and analyzing customer data from diverse sources. You’ll work on different types of data collection to derive valuable insights to boost company performance.

Actions to be performed:

  • Identify relevant spend data sources
  • Data extraction
  • Data cleansing
  • Streamline and centralize procurement process 
  • Manage risk and maverick spending.
  • Leverage spend data across business units.
  • Analysis of data

Choose the training that’s best for you

Self-Paced E-Learning
  • Learn at your convenient time and pace
  • Gain on-the-job kind of learning experience through high quality DataStage videos built by industry experts.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Explore sample DataStage training videos before signing up.
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Live Online Training
  • Live demonstration of features and practicals.
  • Get LMS access of each DataStage Online training session that you attend through GotoMeeting.
  • Gain guidance on certification.
  • Attend a Free Demo before signing up.

USD 280 USD 350

* Batch starts from 28 Feb, 2021

Register Now
Corporate Training
For Business
  • Self-Paced/Live Online/Classroom modes of training available.
  • Engage in DataStage Classroom Training lecture by an industry expert at your facility.
  • Learn as per full day schedule with discussions,exercises and practical use cases.
  • Design your own course content based on your project requirements.
  • Gain complete guidance on certification.
Contact Us

DataStage Training Online - Upcoming Events

  • Weekday

    28 Feb, 2021 - 25 Mar, 2021

    08:30 PM EST
  • Fast Track

    03 Mar, 2021 - 16 Mar, 2021

    08:30 PM EST
  • Weekend

    06 Mar, 2021 - 04 Apr, 2021

    08:30 AM EST
  • Weekday

    07 Mar, 2021 - 01 Apr, 2021

    08:30 PM EST
  • Fast Track

    10 Mar, 2021 - 23 Mar, 2021

    08:30 PM EST
  • Weekend

    13 Mar, 2021 - 11 Apr, 2021

    08:30 AM EST
  • Timings Doesn't Suit You ?

    We can set up a batch at your Convenient time.

    Let us know

    DataStage Online Training Objectives

    The core skills that you will gain are as follows:      

    • DataStage concepts and their significance, and its architecture.
    • Parts of DataStage Parallelism, Transformer Stage, and File stockpiling
    • Troubleshooting and extraction utilizing Teradata Connector
    • DataStage Design execution
    • According to Research and Markets, the global Big Data Analytics market is expected to reach $40.6 billion by the next four years
    • The demand for trained DataStage professionals will increase due to its growing popularity across multiple organizations around the globe.
    • On average, a DataStage developer can earn around $122,000 per annum – Indeed

    The below job roles will get benefited from this training:

    • Professionals from Analyst background.
    • Web Developers
    • Software Developers
    • Graduates looking for a career in Android.
    • Freshers / Professionals from any field

    Basics of programming and database fundamentals are enough to learn DataStage.

    Upon completion of this course, the aspirants will be able to gain knowledge on:

    • IBM DataStage, its architecture and features
    • DataStage parallelism aspects, file storage, and transformer stage
    • Creating a sample DataStage job
    • Development, debugging and extraction using Teradata Connector
    • Difference between Lookup, Join and Merge steps
    • DataStage Design implementation

    DataStage Certification

    Our DataStage course covers all the topics that are required to clear DataStage certification. Trainer will share DataStage certification guide, DataStage certification sample questions, DataStage certification practice questions.

    Our Course in Comparison


    • Demos at Convenient Time?
    • 1-1 Training
    • Batch Start Dates
    • Customize Course Content
    • EMI Option
    • Mock Interviews after Training
    • Group Discounts


    • At your Convenience


    • Fixed

    Trusted By Companies Worldwide & 4,10,350+ Learners


    Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.

    The trainer is a certified consultant and has significant amount of experience in working with the technology.

    Yes, we accept payments in two installments.

    If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.

    DataStage Reviews

    Chandra Chennupati

    I have recently passed my DataStage Certification exam. All thanks to Mindmajix and their trainers for inspiring me to opt this career.

    Sweta Jha

    MindMajix.. One-stop for all the courses you need to learn with easy and by the experts. DataStage Training helps me understand every concept in detail. I'm pretty impressed with the timings and sessions. Thank You MindMajix.

    Moises Gonzalez Martinez

    When I thought to go for DataStage certification course, my friend suggested me about this training. I was happy that Mindmajix training sessions helped me a lot to gain confidence to get certified. Thank You.

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    Servicenow training offered by MindMajix is excellent, and you clear Servicenow certification very easily after attending this training, and also you will get the real time view of the Servicenow.