Book Image

SQL Server 2017 Integration Services Cookbook

By : Christian Cote, Dejan Sarka, David Peter Hansen, Matija Lah, Samuel Lester, Christo Olivier
Book Image

SQL Server 2017 Integration Services Cookbook

By: Christian Cote, Dejan Sarka, David Peter Hansen, Matija Lah, Samuel Lester, Christo Olivier

Overview of this book

SQL Server Integration Services is a tool that facilitates data extraction, consolidation, and loading options (ETL), SQL Server coding enhancements, data warehousing, and customizations. With the help of the recipes in this book, you’ll gain complete hands-on experience of SSIS 2017 as well as the 2016 new features, design and development improvements including SCD, Tuning, and Customizations. At the start, you’ll learn to install and set up SSIS as well other SQL Server resources to make optimal use of this Business Intelligence tools. We’ll begin by taking you through the new features in SSIS 2016/2017 and implementing the necessary features to get a modern scalable ETL solution that fits the modern data warehouse. Through the course of chapters, you will learn how to design and build SSIS data warehouses packages using SQL Server Data Tools. Additionally, you’ll learn to develop SSIS packages designed to maintain a data warehouse using the Data Flow and other control flow tasks. You’ll also be demonstrated many recipes on cleansing data and how to get the end result after applying different transformations. Some real-world scenarios that you might face are also covered and how to handle various issues that you might face when designing your packages. At the end of this book, you’ll get to know all the key concepts to perform data integration and transformation. You’ll have explored on-premises Big Data integration processes to create a classic data warehouse, and will know how to extend the toolbox with custom tasks and transforms.
Table of Contents (18 chapters)
Title Page
About the Authors
About the Reviewers
Customer Feedback

Text mining with term extraction and term lookup transformations

In this recipe, you will see how text mining works. You will use a text file with some blogs as a source, extract terms from them, and then look up terms in them.

Getting ready

You need to have the Blogs.txt file available. You can get it with the code from the code download for this book.

How to do it...

  1. In SSDT, add a new package to the Chapter08 SSIS project. Name it TermExtactionLookup.
  2. On the Control Flow tab in the Package Designer, add two data flow tasks. Name them TermExtraction and TermLookup and connect them with the green arrow. The term extraction task should be first.
  3. Click the Data Flow tab. Select the TermExtraction task. Prepare the data flow for this task.
  4. Add a flat file source. Name it ImportBlogs. Set the properties for this source:
    • Create a new connection manager called BlogsTxt, whose source file is C:\SSIS2016Cookbook\Blogs.txt. Select the column names that are in the first data row checkbox.
    • Click Columns....