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

Using T-SQL queries on semi-structured and unstructured data

Azure Synapse SQL on-demand allows you to query data in your data lake. The OPENROWSET function is used in SQL on-demand to query an external data source. We will learn how to use this function for reading different types of files.

Reading Parquet files

Parquet is an open source file format that is designed for efficient, as well as performant, flat columnar storage of data. Synapse provides a feature to read Parquet files directly, using the OPENROWSET function.

The easiest way to read a Parquet file's content is to provide the file Uniform Resource Locator (URL) to the OPENROWSET function and specify the Parquet format, as illustrated in the following code snippet:

select top 10 *
from openrowset(
    bulk '',
    format ...