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Transform Your Business with
Scalable Data Warehousing Solutions

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Objectives

This course aims to equip participants with comprehensive skills in SQL and ETL concepts, shell scripting, data warehousing (DWH) fundamentals, and using Informatica tools for transformations and performance tuning.

The training includes practical exercises and real-world scenarios to ensure participants can apply the learned concepts effectively.

Course Outcome

End-to-End SQL and ETL Development:
  • Participants will be proficient in end-to-end development in SQL and ETL concepts.
Shell Scripting and DWH/ETL Fundamentals:
  • Participants will be capable of creating shell scripts and understanding the fundamentals of data warehousing (DWH) and ETL concepts.
Transformations and Performance Tuning with Informatica:
  • Participants will be skilled in performing transformations, creating reusable objects, workflows, and tuning performance of mappings using Informatica tools.
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Course Preview

  • What is Data Warehouse (DWH)?
  • What is Data Warehousing?
  • Why Do We Need a Data Warehouse?
  • Difference Between OLTP and DWH
  • Dimension and Fact Tables
  • Types of Dimensions and Facts
  • What is ODS?
  • Benefits of ODS
  • ODS vs DWH
  • What is Dimensional Modeling?
  • Schemas in Dimensional Modeling
  • Star Schema
  • Snowflake Schema
  • Top-Down Approach
  • Bottom-Up Approach
  • What is Data Mart?
  • Types of Data Marts
  • Data Mart vs DWH
  • What is ETL?
  • ETL in Data Integration
  • ETL Tools in Data Integration
  • ETL Architecture
  • ETL Standards
  • Data Extraction Process
  • Techniques of Data Extraction
  • Data Transformations
  • Types of Data Transformations
  • Data Loading
  • Techniques of Data Loading