You're reading from Limitless Analytics with Azure Synapse An end-to-end analytics service for data processing, management, and ingestion for BI and ML

Product type Paperback

Published in Jun 2021

Publisher Packt

ISBN-13 9781800205659

Length 392 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

Data Processing

Authors (2):

Saranya Ravichander

Prashant Kumar Mishra

View More author details

Table of Contents (20) Chapters

Preface

1. Section 1: The Basics and Key Concepts

2. Chapter 1: Introduction to Azure Synapse FREE CHAPTER

3. Chapter 2: Considerations for Your Compute Environment

4. Section 2: Data Ingestion and Orchestration

5. Chapter 3: Bringing Your Data to Azure Synapse

6. Chapter 4: Using Synapse Pipelines to Orchestrate Your Data

7. Chapter 5: Using Synapse Link with Azure Cosmos DB

8. Section 3: Azure Synapse for Data Scientists and Business Analysts

9. Chapter 6: Working with T-SQL in Azure Synapse

10. Chapter 7: Working with R, Python, Scala, .NET, and Spark SQL in Azure Synapse

11. Chapter 8: Integrating a Power BI Workspace with Azure Synapse

12. Chapter 9: Perform Real-Time Analytics on Streaming Data

13. Chapter 10: Generate Powerful Insights on Azure Synapse Using Azure ML

14. Section 4: Best Practices

15. Chapter 11: Performing Backup and Restore in Azure Synapse Analytics

16. Chapter 12: Securing Data on Azure Synapse

17. Chapter 13: Managing and Monitoring Synapse Workloads

18. Chapter 14: Coding Best Practices

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Machine learning capabilities in Azure Synapse

Data analysis is not a standalone process that can be executed without getting help from other counterpart services. Before we learn how to use Azure ML services with Azure Synapse, it's important to understand the various steps involved in any data analysis process, such as data collecting, transforming, cleaning, and modeling data.

We are going to learn about these steps in brief in the following subsections.

Data ingestion and orchestration

This section is focused on the data collection and transformation process. In this section, we are going to learn how to create a Synapse pipeline for data ingestion and how to use notebooks for data orchestration.

Azure Synapse pipelines provide a variety of data sources to ingest data from. An Azure Synapse pipeline is an integrated part of Azure Synapse used to Extract, Transform, and Load (ETL) data. To learn more about Azure Synapse pipelines, you can refer to Chapter 4, Using...