English | 2017 | ISBN: 1786461827 | 558 Pages | True PDF, EPUB, MOBI | 35 MB
Harness the power of SQL Server 2017 Integration Services to build your data integration solutions with ease
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.
What You Will Learn
- Understand the key components of an ETL solution using SQL Server 2016-2017 Integration Services
- Design the architecture of a modern ETL solution
- Have a good knowledge of the new capabilities and features added to Integration Services
- Implement ETL solutions using Integration Services for both on-premises and Azure data
- Improve the performance and scalability of an ETL solution
- Enhance the ETL solution using a custom framework
- Be able to work on the ETL solution with many other developers and have common design paradigms or techniques
- Effectively use scripting to solve complex data issues