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Advanced Data Warehousing & ETL with SQL

This course provides an in-depth understanding of Data Warehousing (DWH) concepts, ETL (Extract, Transform, Load) processes, and SQL-based data integration techniques. Participants will learn how to design, implement, and optimize data warehouses using SQL Server, SSIS (SQL Server Integration Services), and cloud-based ETL tools.By the end of the course, learners will be able to handle large-scale data processing, automate ETL pipelines, and implement
Course: 10 Weeks

Certificate

Course Syllabus

Module 1: Introduction to Data Warehousing

  • Understanding Data Warehousing Concepts
  • OLTP vs. OLAP Systems
  • Data Warehouse Architecture & Components

Module 2: Data Modeling & Schema Design

  • Star & Snowflake Schema Design
  • Fact & Dimension Tables
  • Data Normalization vs. Denormalization

Module 3: SQL for Data Warehousing

  • Advanced SQL Queries for DWH
  • Partitioning & Indexing Strategies
  • Data Aggregation & Reporting

Module 4: ETL Concepts & Tools

  • Introduction to ETL Processes
  • ETL Workflow Design & Best Practices
  • Overview of ETL Tools (SSIS, Informatica, Talend)

Module 5: SSIS (SQL Server Integration Services)

  • SSIS Architecture & Components
  • Creating & Managing ETL Packages
  • Error Handling & Logging in SSIS

Module 6: Cloud-Based Data Warehousing

  • Amazon Redshift, Google BigQuery, & Azure Synapse
  • Data Integration with Cloud ETL Services
  • Performance Tuning & Cost Optimization

Module 7: Data Governance & Security

  • Implementing Role-Based Access Control
  • Data Masking & Encryption Strategies
  • GDPR & Compliance Considerations

Module 8: Hands-On Projects & Case Studies

  • Building a Data Warehouse from Scratch
  • Creating an ETL Pipeline for Real-World Data
  • Optimizing Query Performance for BI Dashboards

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