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Limitless Analytics with Azure Synapse

Limitless Analytics with Azure Synapse

By : Saranya Ravichander, Prashant Kumar Mishra
4.6 (16)
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Limitless Analytics with Azure Synapse

Limitless Analytics with Azure Synapse

4.6 (16)
By: Saranya Ravichander, Prashant Kumar Mishra

Overview of this book

Azure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform. The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features. By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks.
Table of Contents (20 chapters)
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1
Section 1: The Basics and Key Concepts
4
Section 2: Data Ingestion and Orchestration
8
Section 3: Azure Synapse for Data Scientists and Business Analysts
14
Section 4: Best Practices

Geo-backups and disaster recovery

Synapse performs a geo-backup once per day to a paired data center automatically, and that's why the option to enable a geo-backup policy for your dedicated SQL pool is disabled. The Recovery Point Objective (RPO) for a geo-backup is 24 hours. This geo-backup can be used to restore your SQL pool if the restore points in the primary region are not available.

In this section, we are going to create geo-redundant restore points using the Azure portal and PowerShell script as well. This PowerShell script can be used for any dedicated SQL pool just by providing correct values for the parameters in the script.

As shown in the following screenshot, we cannot create a geo-backup policy for a dedicated SQL pool because the SQL pool is automatically backed up to the region pair. You can read about region pairs at the following link—https://docs.microsoft.com/en-us/azure/best-practices-availability-paired-regions:

Figure 11.6 – A screenshot of a geo-backup policy for a dedicated SQL pool on the Azure portal
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