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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Using SQL Server Integration Services to import data

SSIS is an ETL tool that is used for data ingestion and orchestration purposes. This tool comes with the SQL Server license, so, if you already have a SQL Server license, you may want to use SSIS as your ETL tool instead of spending money on any other ETL services. However, it is important to understand the pros and cons of using the SSIS package instead of using an Azure PaaS service such as Data Factory.

So far, we have covered Synapse pipelines and Data Factory, and now it's time to learn how to bring data to Azure Synapse using SQL Server Integration Services. Follow these steps to create your SSIS package in Visual Studio:

Launch Visual Studio and create a new Integration Services project in Visual Studio.
Enter the project name and provide a file location for saving SSIS packages.
Add Data Flow Task from the SSIS Toolbox to the canvas.
Go to the Connection Managers window and right-click to select...