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Data Engineering Best Practices Using Azure Data Factory

Speakers: Abhishek Narain, Sunil Sabat, Linda Wang

8-hrs Video Course (Recorded Class)

Abstract: In this workshop, we will cover data engineering best practices while using Azure Data Factory – Performance, Security, and Scalability being the key focus areas. We will build ETL pipelines as part of the workshop for hands-on learning.

Modules

1. Data pipeline overview

• What is data factory?
• Data engineering common scenario
• Getting started and environment setup

2. Data Integration: Connectivity and code-free transformation

• Bringing data to data lake on Azure: On-premises and SaaS/PaaS datastore connectivity with a Copy activity
• Transforming data using data flows

3. Best practices for operationalizing data pipelines

• Govern data using Azure Purview Integration
• Scalability and Performance considerations
• Security
• External integrations with compute engines (Databricks, SProc)
• Continuous Integration and Continuous Deployment (CICD)