Book Image

Cloud Scale Analytics with Azure Data Services

By : Patrik Borosch
Book Image

Cloud Scale Analytics with Azure Data Services

By: Patrik 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)
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

Setting up your Cloud Big Data Storage

When you want Azure Data Lake to provision a service within your Azure subscription and you search for it, you will find a service with that exact name. We are not going to use that service, as it is the Generation 1 version of Data Lake Storage and is only there for continuity reasons.

Microsoft added the Data Lake Store Gen2 in kind of a hidden fashion. As this new version of the Data Lake is based on the standard Azure storage account, you will provision it exactly like that: an Azure storage account with an option set for Azure Data Lake Gen2 or, even better, with the Hierarchical Namespace enabled. We will look at this option shortly.

Provisioning a standard storage account instead

When you examine the Azure storage account limits, you might ask yourself, why should I go for a Data Lake Store when the standard Storage Account already has these wide volume boundaries and possibilities?

Well, the standard storage account has it...