Datastage Training

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10 week

Course Overview

About Course

This 40‑hour InfoSphere DataStage training empowers participants to design, develop, and deploy robust ETL solutions for enterprise data integration. Starting with foundational data warehousing and ETL principles—such as star schemas, OLAP vs OLTP, and Slowly Changing Dimensions—learners quickly immerse themselves in DataStage’s architecture and components (Designer, Director, Administrator).

Hands-on modules cover end-to-end data workflows: from reading and writing various file formats, mastering large data handling, to leveraging relational databases via optimized database stages. Transformation skills deepen as students implement joins, lookups, aggregations, pivots, and advanced stage variables. Parallel job construction, using techniques like pipeline and partition parallelism across SMP/MPP environments, ensures high-performance ETL.

Workflow control with Sequencer modules develops production-grade automation, triggers, error mitigation, and scheduling via DSJob utilities. Exception handling, data cleansing integration, and governance are addressed using exception stages and standardization powered by IBM’s Data Quality tools. The training concludes with deployment best practices through Information Server Manager, monitoring via operations console, and performance tuning—buffer sizing, logging, and job optimization.

With over 70% of the course dedicated to practical lab work, participants complete real-world projects like inventory control and student record ETL pipelines, guided by expert mentors and peer reviews. Equipped with sample scripts, session recordings, and certification-aligned support, graduates exit the training ready for DataStage Developer or Administrator roles, capable of delivering high-quality, scalable data integration solutions in enterprise settings.

 

  1. Course Syllabus

    Module 1: Data Warehousing & ETL Concepts (4 hrs)

    • Introduction to data warehousing: OLAP vs OLTP, star/snowflake schema, facts & dimensions, Slowly Changing Dimensions (SCD)

    Module 2: InfoSphere DataStage Overview & Setup (4 hrs)

    • DataStage architecture, editions (Server, Enterprise, MVS), components (Designer, Director, Administrator).
    • Installation, configuration, project setup, and user permissions

    Module 3: Workbench – Designer & Director (6 hrs)

    • Designer: job types (server, parallel, sequence), stage palette, containers, metadata import/export.
    • Director: job control, monitoring, scheduling, performance overview

    Module 4: File & Data Handling (4 hrs)

    • Sequential/complex flat files, file sets, handling large files, error and invalid record handling

    Module 5: Data Transformation (6 hrs)

    • Transformer and stage variables, joins, lookups, merges, aggregates, pivots, handling nulls

    Module 6: Database Connectivity (4 hrs)

    • ODBC/Oracle connectors, bulk data transfer, metadata usage, database stage tuning

    Module 7: Parallel Job Design & Optimization (6 hrs)

    • Parallelism: pipeline, partitioning, SMP vs. MPP, partition techniques, NLS mode, performance tuning

    Module 8: Job Sequencing & Control (4 hrs)

    • Workflow orchestration with sequence jobs: triggers, loops, error handling, automating via DSJob utility .

    Module 9: Exception Handling & Data Cleansing (4 hrs)

    • Exception stages, cleansing via IBM DataQuality integration, standardized processes

    Module 10: Deployment, Monitoring & Performance Tuning (4 hrs)

    • Managing lifecycle in Information Server Manager, deployment packages, monitoring via operations console, log analysis, buffer tuning

     

  • Key Features

      70% hands-on labs: build jobs for files, DB, parallel, and sequence workflows.

      Toolset: Designer, Director, Administrator, Information Server Manager, DSJob.

      Real-world projects: inventory control, student record systems, ETL pipelines.

      Performance tuning sessions: parallel optimization, memory/buffer strategies.

      Governance controls: metadata, change management, section access.

      Expert mentorship: live Q&A, peer reviews, troubleshooting labs.

      Certification support: prep for DataStage Developer / Administrator roles.

      Resources provided: session recordings, sample jobs, scripts, community forum access.

     

 Our Upcoming Batches

At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.

Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.

Training Timetable

Batches Online/OfflineBatch Start DateSession DaysTime Slot (IST)Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri7:00 AM (Class 1-1.30 Hrs)View Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri11:00 AM (Class 1-1.30 Hrs)View Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri5:00 PM (Class 1-1.30 Hrs)View Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri7:00 PM (Class 1-1.30 Hrs)View Fees
Weekends (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Sat-Sun7:00 AM (Class 3 Hrs)View Fees
Weekends (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Sat-Sun10:00 AM (Class 3 Hrs)View Fees
Weekends (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Sat-Sun11:00 AM (Class 3 Hrs)View Fees

For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.

Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.

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