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 14: Coding Best Practices

Azure Synapse allows you to create a Structured Query Language (SQL) pool or an Apache Spark pool with just a couple of clicks, without worrying too much about maintenance and management. However, you need to follow certain best practices in order to utilize these pools effectively and efficiently.

This chapter is crucial to the production environment. When you need to create a SQL or Spark pool in your production environments, you must follow the coding or development best practices. This chapter is mainly focused on the best practices for coding, development, workload management, and cost management, for both SQL and Spark pools on Azure Synapse.

In this chapter, we will cover the following topics:

  • Implementing best practices for a Synapse dedicated SQL pool
  • Implementing best practices for a Synapse serverless SQL pool
  • Implementing best practices for a Synapse Spark pool