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

Examining the Databricks workspace

Like ADF and Synapse Analytics, too, Databricks follows the concept of a browser-based workspace interface. When your basic deployment has been successful and you navigate to the resource in your Azure portal, you will find the Launch Workspace button very prominent on the Overview blade of your Databricks service:

Figure 7.3 – The Launch Workspace button on the Overview Blade of the Databricks service

Click on the button to enter your workspace for the first time. You are taken to the Databricks workspace portal:

Figure 7.4 – Entering your Databricks workspace

You will find a navigation area on the left side of the screen. Here, you have access to all the different areas of Databricks, such as your workspace, recent artifacts, data environments such as databases and tables, your clusters, Spark jobs, and machine learning models. The final option on the navigation area is Search.

Click...