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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

Further reading

  • Discovering Power BI:
  • Power BI data sources:
  • The calculate() DAX function:
  • DAX formula to filter ad_noofflights for the first of the month:
    FirstofMonthSum = calculate(sum(Query1[ad_noofflights]), Query1[ad_dayofmonth]=1)
  • DAX deep dive readings:

    a) Alberto Ferrari, Marco Russo, and Daniele Perilli:

    b) Chris Webb's BI blog:

    c) Adam Saxton, aka Guy in a Cube:

    d) DAX reference documentation:

  • Data model optimization:
  • Differences between Power BI and Azure Analysis Services:
  • Data Share source-to-target mapping:
  • Azure Data Share: https://docs.microsoft.com/en-us/azure/data-share/overview
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