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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
14
Section 4: Data Presentation, Dashboarding, and Distribution

Uncovering MPP in the cloud – the power of 60

SQL Synapse Analytics – the MPP database service formerly called Azure SQL Data Warehouse – is already well known. It has already reached its second generation and the third evolutional step is right around the corner. We will see Gen 3 in 2021. So, maybe at the time when this book is published, it will already be available, at least as a preview.

When we examine Synapse Analytics, we find some interesting concepts. Sure, the idea of MPP is not new and it has been implemented already with several appliances out there. The formerly known Microsoft Parallel Data Warehouse (PDW), now called Analytics Platform System (APS), https://docs.microsoft.com/en-us/sql/analytics-platform-system/home-analytics-platform-system-aps-pdw?view=aps-pdw-2016-au7, is one of them. There are some quite successful on-premises solutions from other vendors on the market – Teradata, Greenplum, and DB2 UDB being just a few of them.

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