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

Using the R data mining model in SSIS

The R code developed in the previous recipe can be used directly in the sys.sp_execute_external_script system stored procedure. You will test this in SSMS. Then you will use the procedure in an OLE DB source inside a SSIS data flow.

Getting ready

In order to continue with this recipe, you need to have R Services (In-Database). This is the installation that integrates R in SQL Server. It includes a database service that runs outside the SQL Server database engine and provides a communication channel between the database engine and R runtime. You install it with SQL Server setup. The R engine includes the open-source R components, and in addition, a set of scalable R packages.

How to do it...

  1. First, you need to enable external scripts in SQL Server. In SSMS, execute the following code:
-- Allow external scripts 
USE master; 
EXEC sp_configure 'show advanced options', 1; 
EXEC sp_configure 'external scripts enabled', 1;