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Cloud Scale Analytics with Azure Data Services

Cloud Scale Analytics with Azure Data Services

By : Borosch
4.9 (7)
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Cloud Scale Analytics with Azure Data Services

Cloud Scale Analytics with Azure Data Services

4.9 (7)
By: Borosch

Overview of this book

Azure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed, and quality. This book is your guide to learning all the features and capabilities of Azure data services for storing, processing, and analyzing data (structured, unstructured, and semi-structured) of any size. You will explore key techniques for ingesting and storing data and perform batch, streaming, and interactive analytics. The book also shows you how to overcome various challenges and complexities relating to productivity and scaling. Next, you will be able to develop and run massive data workloads to perform different actions. Using a cloud-based big data-modern data warehouse-analytics setup, you will also be able to build secure, scalable data estates for enterprises. Finally, you will not only learn how to develop a data warehouse but also understand how to create enterprise-grade security and auditing big data programs. By the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs.
Table of Contents (20 chapters)
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1
Section 1: Data Warehousing and Considerations Regarding Cloud Computing
4
Section 2: The Storage Layer
7
Section 3: Cloud-Scale Data Integration and Data Transformation
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14
Section 4: Data Presentation, Dashboarding, and Distribution

Section 3: Cloud-Scale Data Integration and Data Transformation

This section describes the Azure data services that are used to create modern data warehouses in Azure. From the provisioning of the service via the possible individual structures and best practices, through to security settings, backup, and Disaster Recovery settings, the possible interfaces, and APIs, and also the monitoring of the service in Azure and known issues, we're going to describe the use of certain services in the modern data warehouse architecture pattern.

This section comprises the following chapters:

  • Chapter 5, Integrating Data into Your Modern Data Warehouse
  • Chapter 6, Using Synapse Spark Pools
  • Chapter 7, Using Databricks Spark Clusters
  • Chapter 8, Streaming Data into Your MDWH
  • Chapter 9, Integrating Azure Cognitive Services and Machine Learning
  • Chapter 10, Loading the Presentation Layer
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Cloud Scale Analytics with Azure Data Services
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