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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
Tools
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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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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

Building data marts with Power BI

In our modern data warehouse architecture in Chapter 2, Connecting Requirements and Technology, you were introduced to Power BI as the central reporting tool if you are either planning for small-sized implementations or planning for an enterprise-wide analytical data estate.

Power BI offers a toolset to do the following:

  • Get data and wrangle it into the Power BI data model if required.
  • Store your data in a columnstore database for fast visualizing and reporting.
  • Equip you with a data analysis language called Data Analysis Expressions (DAX) to implement the business logic that you need for your reports and dashboards.
  • Develop all the required artifacts.
  • Publish datasets, reports, and dashboards and collaborate with your co-workers.

Understanding the Power BI ecosystem

If you examine the Power BI ecosystem, you will find different components that will serve the functions mentioned:

  • Power BI Desktop: This...
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