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Cloud Scale Analytics with Azure Data Services

You're reading from   Cloud Scale Analytics with Azure Data Services Build modern data warehouses on Microsoft Azure

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781800562936
Length 520 pages
Edition 1st Edition
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Author (1):
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Patrik Borosch Patrik Borosch
Author Profile Icon Patrik Borosch
Patrik Borosch
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Data Warehousing and Considerations Regarding Cloud Computing
2. Chapter 1: Balancing the Benefits of Data Lakes Over Data Warehouses FREE CHAPTER 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 you through the Azure Purview preview. You have seen how to connect to data sources and how to set up scans to parse not only your data sources but also your whole modern data warehouse.

You have learned how to use classification rules in your scan rule sets to classify your data. You have seen how to create your own custom classifications and add them to your scans.

In the second part of the chapter, you saw how Purview integrates with other services such as Azure Synapse Analytics, where Purview can help increase productivity by integrating with the Synapse search and the Synapse compute components, such as the serverless SQL engine, the Spark engine, and Synapse pipelines.

You have examined how to integrate Power BI to be able to scan Power BI datasets, reports, and dashboards and how to add this information to the Purview data lineage part.

Finally, you have seen how Purview integrates with Azure Data Factory and can display data lineage...

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