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Cloud Scale Analytics with Azure Data Services

You're reading from  Cloud Scale Analytics with Azure Data Services

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781800562936
Pages 520 pages
Edition 1st Edition
Languages
Author (1):
Patrik Borosch Patrik Borosch
Profile icon Patrik Borosch

Table of Contents (20) Chapters

Preface 1. Section 1: Data Warehousing and Considerations Regarding Cloud Computing
2. Chapter 1: Balancing the Benefits of Data Lakes Over Data Warehouses 3. Chapter 2: Connecting Requirements and Technology 4. Section 2: The Storage Layer
5. Chapter 3: Understanding the Data Lake Storage Layer 6. Chapter 4: Understanding Synapse SQL Pools and SQL Options 7. Section 3: Cloud-Scale Data Integration and Data Transformation
8. Chapter 5: Integrating Data into Your Modern Data Warehouse 9. Chapter 6: Using Synapse Spark Pools 10. Chapter 7: Using Databricks Spark Clusters 11. Chapter 8: Streaming Data into Your MDWH 12. Chapter 9: Integrating Azure Cognitive Services and Machine Learning 13. Chapter 10: Loading the Presentation Layer 14. Section 4: Data Presentation, Dashboarding, and Distribution
15. Chapter 11: Developing and Maintaining the Presentation Layer 16. Chapter 12: Distributing Data 17. Chapter 13: Introducing Industry Data Models 18. Chapter 14: Establishing Data Governance 19. Other Books You May Enjoy

Summary

This chapter took us into the world of Databricks. You provisioned a Databricks workspace and examined it. In the workspace, you created a new Spark cluster and learned how to manage it.

You created a Databricks notebook, ran it interactively, and saw how to visualize data in your notebook. You also saw how to create a batch job from your notebook and learned about other alternatives for running code as a batch in your environment.

In the section that followed, you learned about Databricks tables and we examined additional capabilities, such as using Delta Lake to manage your data in your environment.

We saw how to add additional functionality using third-party libraries and how to create dashboards from your data.

Finally, we examined security features, such as access controls and secrets, and learned about networking features and how to integrate with Azure Monitor.

There are many more topics related to Azure Databricks that would have exceeded the capacity...

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