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

Integrating with Azure services

Purview already integrates with other services, such as Synapse, for example, or Azure Data Factory and Power BI. This integration helps you to leverage the insights that Purview can deliver in different use cases.

Integrating with Synapse

When we examine the integration with Synapse, for example, you will be able to search the Purview catalog from within Synapse Studio. But this is not the only advantage! From the results of your search, you will be able to directly start a SQL script, a Spark Notebook, or a Pipeline data flow just like you would do from a Data Lake folder or a database table or view.

The Synapse integration will be done from your Synapse Studio. You will find the Azure Purview (Preview) entry in the Management hub of your Synapse workspace:

Figure 14.20 – Connect to Purview from Synapse

You will be displayed a selector that will prompt you on whether you want to select from an Azure subscription...