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 3: Understanding the Data Lake Storage Layer

One of the components in our modern data warehouse Architecture that spans over all the processing steps, and is available to all the participating services, is our Data Lake Storage Layer.

It will serve as our landing zone, the transient storage while we're transforming and cleaning our data, and a source for queries for the analytical components. Users will establish their sandboxes, processes will store their logs here, and Data Scientists will use it as their main playground, together with their tools.

In this chapter, you will learn how to set up Azure Data Lake Gen2 Storage, and also find suggestions about how to organize it so that you can flexibly react to any challenge. You will learn how to access data in Data Lake Storage, and you will look at some approaches for how to monitor your Storage Account. We will discuss options for backup and disaster recovery (DR) and examine the security and networking options...