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

Chapter 14: Establishing Data Governance

In the modern data warehouse architecture with its various options to land and store data, you will no longer have the one database where your single version of the truth resides. This will make it more complex to keep track of the content, relationships between entities, and their sensitivity, for example.

Actual regulations such as the General Data Protection Regulation (GDPR) require you to be able to locate your customer data and all the related information in case the customer asks for a report or, more importantly, when the customer requires deletion.

But it's not only regulative requirements that force you to gain insights into your data. By adding more and more different datasets in a more and more diverse business, you will need additional tools – tools that enable you to find your way through your data lake, your data warehouse, and for sure the sources where you extract the data from to create all the analytics...