Data Integration Best Practices In Azure Synapse Analytics By Abhishek Narain

Data Integration Best Practices In Azure Synapse Analytics By Abhishek Narain

$479.00

Use 50% Discount Code: DPS50 (Now: US$ 479 . After Discount: US$ 239.5)

Data Integration Best Practices In Azure Synapse Analytics

Speakers: Abhishek Narain

8-hrs Virtual Classroom Training
LIVE Attendance + Class 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

Date & Time:
View in your own time zone
Go to Training Class Page

8-hrs Virtual Classroom Training
LIVE Attendance + Class Recordings

Category:

Reviews

There are no reviews yet.

Only logged in customers who have purchased this product may leave a review.