SQL Server 2017 Integration Services Cookbook oleh Dejan Sarka

Key FeaturesAcquaint yourself with all the newly introduced features in SQL Server 2017 Integration ServicesProgram and extend your packages to enhance their functionalityThis detailed, step-by-step guide covers everything you need to develop efficient data integration and data transformation solutions for your organizationBook DescriptionSQL 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, youll 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, youll learn to install and set up SSIS as well other SQL Server resources to make optimal use of this Business Intelligence tools. Well 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, youll learn to develop SSIS packages designed to maintain a data warehouse using the Data Flow and other control flow tasks. Youll 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, youll get to know all the key concepts to perform data integration and transformation. Youll 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 learnUnderstand the key components of an ETL solution using SQL Server 2016-2017 Integration ServicesDesign the architecture of a modern ETL solutionHave a good knowledge of the new capabilities and features added to Integration ServicesImplement ETL solutions using Integration Services for both on-premises and Azure dataImprove the performance and scalability of an ETL solutionEnhance the ETL solution using a custom frameworkBe able to work on the ETL solution with many other developers and have common design paradigms or techniquesEffectively use scripting to solve complex data issuesAbout the AuthorChristian Cote is a database professional from Montreal, Quebec, Canada. For the past 16 years, hes been involved in various data warehouse projects and business intelligence projects. He has contributed to business intelligence solutions in various domains like pharmaceutical, finance, insurance, and many more. Hes been a Microsoft Most Valuable Professional since 2009 and leads the Montreal PASS chapter.Matija Lah has more than 15 years of experience working with Microsoft SQL Server, mostly from architecting data-centric solutions in the legal domain. His contributions to the SQL Server community have led to the Microsoft Most Valuable Professional award in 2007 (data platform). He spends most of his time on projects involving advanced information management, and natural language processing, but often finds time to speak at events related to Microsoft SQL Server where he loves to share his experience with the SQL Server platform.Dejan Sarka, MCT and SQL Server Most Valuable Professional, is an independent trainer and consultant who focuses on the development of database and business intelligence applications, located in Ljubljana, Slovenia. Besides his projects, he spends around half of his time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET users group. Dejan is the main author and coauthor of many books and courses about databases and SQL Server. He is a frequent speaker at many worldwide events.Table of ContentsSSIS SetupWhat is new in SSIS 2016Key components of a modern ETL solutionData warehouse loading techniquesDealing with Data QualitySSIS performance and scalabilityUnleash the power of SSIS script task and componentSSIS and advanced analyticsOn-premises and Azure Big Data integrationExtending SSIS custom tasks and transformationsScale Out with SSIS 2017