Key Features
Acquaint yourself with all the newly introduced features in SQL Server 2016 Integration Services
Program and extend your packages to enhance their functionality
This detailed, step-by-step guide covers everything you need to develop efficient data integration and data transformation solutions for your organization
Book Description
SSIS 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 2016's new features, and design and development improvements including SCD, Profiling, Tuning, and Customizations .
At the start, you'll learn to install and set up the SSIS packages and resources to make optimal use of this Business Intelligence tool. We'll begin by taking you through the new features in SSIS 2016 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 data warehouses and marts using SQL Server Management Studio. Additionally, we'll learn to develop SSIS packages designed to maintain a data warehouse using the Data Flow control flow task. We also demonstrate recipes on cleansing data and how to get the end result after applying different transformations. We also cover some real-world scenarios that you might face 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 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
Gather execution statistics to better understand what has been loaded and when
Effectively use scripting to solve complex data issues
Acquaint yourself with all the newly introduced features in SQL Server 2016 Integration Services
Program and extend your packages to enhance their functionality
This detailed, step-by-step guide covers everything you need to develop efficient data integration and data transformation solutions for your organization
Book Description
SSIS 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 2016's new features, and design and development improvements including SCD, Profiling, Tuning, and Customizations .
At the start, you'll learn to install and set up the SSIS packages and resources to make optimal use of this Business Intelligence tool. We'll begin by taking you through the new features in SSIS 2016 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 data warehouses and marts using SQL Server Management Studio. Additionally, we'll learn to develop SSIS packages designed to maintain a data warehouse using the Data Flow control flow task. We also demonstrate recipes on cleansing data and how to get the end result after applying different transformations. We also cover some real-world scenarios that you might face 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 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
Gather execution statistics to better understand what has been loaded and when
Effectively use scripting to solve complex data issues
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