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

Distributing data using Azure Data Share

Up to now, we have examined options to consume data from your modern analytical setup using the typical reporting interfaces. But what about consumers that need data transferred to you as files? Or if you want to deliver outputs of your analytical efforts directly into a database that lives in another Azure subscription? Maybe it is even created in a subscription of your customer.

If you are thinking of sharing data, you might then also consider topics such as an agreement on the terms of usage of the data or regular updates if the shared dataset is updated on your side. And, of course, security will play a central role in your setup.

One big asset that Data Share offers is the ability to control your shares and always know who has access to your data – who receives what data when and in what location.

Azure Data Share will allow you to share data from the following sources with consumers with an Azure subscription:

    ...