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

Understanding the supporting services

Regardless of the size you are planning for, some services might catch your attention anyway. This section will give you an overview of the supporting services that you might need in your modern data warehouse approach.

Requiring data governance

When you start building your modern data warehouse, there is one thing that you need to get right: data governance! There are too many data lakes out there that have mutated into data swamps, and you'll find so many Data Warehouses that have lost any credibility because their users can't find the right data or are only able to find outdated information. The relationship between these data sources might not be clear to self-service BI users if they produce the wrong figures. Plus, dimension data, which describes the measures that you want to report on, might not be up to date or might rely on the wrong sources. Alternatively, your users might not be able to recognize the date and time of...