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 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:

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