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

Concepts

Data Streaming

Author (1):

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

In this chapter, you have learned about Power BI and the options to create and deliver datasets, reports, and dashboards to your consumers. You have seen how to publish reports with their datasets to the Power BI service, where you can share and collaborate on your analysis.

You have seen how to build DAX calculations and the options that you have for RLS implementation on your models.

We have also discussed the creation of visuals and how they interact with each other and the data model.

You have learned how to publish your reports to the Power BI service and how to create dashboards from reporting visuals. With the created dashboard, you have investigated Q&A and seen how to export data for further usage.

Furthermore, you have learned about AAS, Power BI, and Excel as the clients for the columnstore database.

Finally, you have read about Azure Data Share and the options for automating the exchange of data between Azure subscriptions.

In Chapter 13...