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 11: Developing and Maintaining the Presentation Layer

In the previous chapter, Chapter 10, Loading the Presentation Layer, and this one, we investigate how to implement and maintain the Presentation Layer of your Modern Data Warehouse (MDWH).

With all the versatile modules of your modern data estate, you have acquired data, transformed it, and even used advanced analytics to predict behavior based on the data that you have collected.

In this chapter, we will examine how to use Azure Synapse, and particularly Synapse Studio, when you implement your Presentation Layer. You will see how to integrate Azure Synapse with Azure DevOps and how you can automate your deployments. In your role as an MDWH developer, you will also enjoy the developer productivity features that Synapse Studio offers.

You will see how to implement backup and Disaster Recovery (DR) and how you can monitor your Azure Synapse environment.

Finally, you will learn about the two aspects of security...