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CoursesBusiness Intelligence
Datastage
Business Intelligence

Datastage

An effective ETL (Extract, Transform, Load) tool for designing, creating, and overseeing data integration projects is IBM DataStage. Data can be extracted from various sources, transformed based on business rules, and then loaded into target systems or data warehouses for analytics and reporting.

5/5(4,890 Reviews)

Level

Intermediate

Duration

8 Weeks

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About Datastage

Businesses can extract, transform, and load data from various sources into data warehouses, data lakes, and other target systems with the aid of IBM DataStage, an enterprise-level ETL and data integration platform. It is a component of the IBM InfoSphere Information Server suite and is extensively utilized in big data analytics, business intelligence (BI), and data warehousing.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more then 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Datastage Course Curriculum

Introduction to IBM DataStage

An outline of data staging and how it functions in extract, transform, and load (ETL) procedures. DataStage is essential for business intelligence, data warehousing, and data integration.

Overview of IBM DataStage
Key Features of DataStage
IBM DataStage Architecture
Components of IBM DataStage
Types of DataStage Jobs

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

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Who Should Take Datastage

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Job Roles For Datastage

Key Projects

Datastage

Allstate

AllstateInsurance Data Stream


Scenario: Designed IBM DataStage ETL workflows integrating policy claims billing and customer datasets into enterprise warehouse ensuring quality compliance.

Live Work:

  • Built parallel ETL job sequences
  • Implemented data validation rules
  • Optimized performance tuning
Outcome: Improved claims data accuracy
ING Group

ING GroupBanking ETL Framework


Scenario: Developed DataStage pipelines consolidating ING transaction risk compliance and reporting data into centralized warehouse for analytics insights.

Live Work:

  • Created transaction load jobs
  • Applied data masking rules
  • Scheduled nightly batch loads
Outcome: Enhanced regulatory reporting
Cognizant

CognizantEnterprise Data Forge


Scenario: Implemented IBM DataStage integration solution merging client finance HR and operations data enabling reliable reporting and governance.

Live Work:

  • Designed reusable ETL components
  • Built audit and log framework
  • Managed metadata repository
Outcome: Reduced integration failures
Next Retail

Next RetailRetail Warehouse Flow


Scenario: Built DataStage ETL solution integrating store sales inventory supplier and ecommerce data into analytics warehouse for reporting accuracy.

Live Work:

  • Integrated POS data streams
  • Developed incremental load logic
  • Performed data reconciliation
Outcome: Improved retail data visibility
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Beyond Courses:

Additional Support We Provide

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What is IBM DataStage?

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