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Speakers: Abhishek Narain

8-hrs Virtual Classroom Training Recordings

Abstract:

Azure Synapse contains the same Data Integration engine and experiences as Azure Data Factory, allowing you to create rich at-scale ETL pipelines without leaving Azure Synapse Analytics.

• Ingest data from 100+ data sources
• Code-Free ETL with Data flow activities
• Orchestrate notebooks, Spark jobs, stored procedures, SQL scripts, and more (ELT)

This training will cover the best practices when using Synapse pipelines and is targeted at a data engineer who is new to Azure/ Azure Synapse Analytics.

Modules

1. ADF/ Synapse Pipelines Overview
2. Best practices
   • Metadata encryption (Microsoft, Customer-Managed Keys)
   • Source Control
   • Secure Authentication – Managed identity (MSI) and AKV integration
   • Access control/ RBAC in Synapse
   • Managed Virtual Network-enabled workspace
   • Monitoring and alerting (Observability)
3. Copy: High-perf data integration (Extract-load)
4. Data flows: Code-free transformation (Extract-transform-load)
   • Data quality, data masking, SCD type2
   • Data mapper and lake databases
5. Change Data Capture-based incremental extractions from various sources
6. Scripts, Spark notebook, and Stored Procedure: Code-based transformation (Transform)
7. Continuous Integration and delivery
8. Real-world case studies
9. Challenge, Q&A

8-hrs Virtual Classroom Training Recordings