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 12: Distributing Data

After you have brought your data into your analytical environment and massaged it into the required shape, you may have even created machine learning models to acquire deeper insights into the circumstances that your data describes. Then, after loading it into the right storage for optimal access, you, of course, are now looking for ways to distribute the data in the right way to the right target groups.

This chapter will show you ways in which to create data marts to distribute insights in your modern data warehouse with Power BI. You will see how to use Power BI data models and the options to visualize and publish their content and even use the data with other tools.

Additionally, you will explore the options that you have to create a data model with Azure Analysis Services (AAS) aside from Power BI, that is, other options available to you to form insights from your data and make them available.

Finally, we will examine Azure Data Share as...