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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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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

Chapter 8: Streaming Data into Your MDWH

More and more analytical projects need to show real-time or near real-time data, that is, data that is coming from online systems such as shops and trading platforms or IoT telemetry. You want to collect and analyze that data maybe even right as it hits your system. IoT data might give you input about the status and potential failure of machines on your shop floor, or you may just seek to display online data of your production. Shop telemetry could inform you about potential customer churn, or trading events might be checked for fraudulent behavior. There are multiple use cases as well as options to implement them on the Microsoft Azure platform.

This chapter will inform you about Azure Stream Analytics (ASA) and the configuration-based approach that this service offers. ASA is a fully managed PaaS component. You will learn how to set up the service and how to connect to sources and targets. You will learn about SQL queries with windowing...

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