Book

Azure Data Engineering Cookbook

This new edition of Azure Data Engineering Cookbook acts as a practical guide, focusing on the different data engineering techniques that can be implemented using Azure Data Services. You will learn how to build end-to-end Azure data engineering pipelines to help you extract useful insights out of raw data collected from disparate sources.

Offered by

Difficulty Level

Intermediate

Completion Time

20h16m approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 20h16m total length

1. Creating and Managing Data in Azure Data Lake

2. Securing and Monitoring Data in Azure Data Lake

3. Building Data Ingestion Pipelines Using Azure Data Factory

4. Azure Data Factory Integration Runtime

5. Configuring and Securing Azure SQL Database

6. Implementing High Availability and Monitoring in Azure SQL Database

7. Processing Data Using Azure Databricks

8. Processing Data Using Azure Synapse Analytics

9. Transforming Data Using Azure Synapse Dataflows

10. Building the Serving Layer in Azure Synapse SQL Pool

11. Monitoring Synapse SQL and Spark Pools

12. Optimizing and Maintaining Synapse SQL and Spark Pools

13. Monitoring and Maintaining Azure Data Engineering Pipelines

On this page

Ready to Train Your Team?

Need training for your whole team? Get bulk pricing, LMS integration, and dedicated support.

Trusted by Leading Organizations Worldwide

Join thousands of companies that trust Calibr to power their learning and development initiatives.

Request Access For Your Organization

Start training your team in minutes!

Related Resources