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

Developing with Synapse Studio

One of the most important areas for efficient development is the capability to collect all your sources in a central repository, collaborate on artifacts during development, and automate deployments from development to test to production environments.

Synapse Studio is no exception here and integrates with either Azure DevOps or GitHub to enable these features. Other repositories are not yet supported.

Integrating Synapse Studio with Azure DevOps

Let's examine how to integrate your Synapse Studio with Azure DevOps and version your work.

First, you will need to connect your Azure Synapse workspace to your Azure DevOps environment. In Chapter 5, Integrating Data in Your Modern Data Warehouse, you saw how to do this with Azure Data Factory. With Azure Synapse, it is pretty much the same. Let's take these steps:

  1. Please navigate to your DevOps environment (https://dev.azure.com/) and create a new project. Name it something such...