Book Image

Limitless Analytics with Azure Synapse

By : Prashant Kumar Mishra
Book Image

Limitless Analytics with Azure Synapse

By: 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)
Section 1: The Basics and Key Concepts
Section 2: Data Ingestion and Orchestration
Section 3: Azure Synapse for Data Scientists and Business Analysts
Section 4: Best Practices

Chapter 11: Performing Backup and Restore in Azure Synapse Analytics

High-availability solutions ensure that your data is never lost, even in the case of unplanned events, such as underlying hardware, software, or network failures. Azure Synapse Analytics uses database screenshots to provide the high availability of dedicated SQL pools. These screenshots create several restore points that can be used to recover your data to a previous state.

In this chapter, you will learn about backup and restore operations on Azure Synapse Analytics. We will begin this chapter by creating restore points for Azure Synapse Analytics; we are also going to create geo-redundant restores using PowerShell. Then, we will learn about the geo-backup and disaster recovery of Synapse SQL pools.

To learn more about these concepts, the following topics will be covered in this chapter:

  • Creating restore points
  • Geo-backups and disaster recovery
  • Cross-subscription restore