کتابخانه دیجیتال فوركيا

کتابخانه دیجیتال فوركيا

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SQL Server 2017 Integration Services Cookbook


SQL Server 2017 Integration Services Cookbook

Title: SQL Server 2017 Integration Services Cookbook | Author(s): Christian Cote, Matija Lah, Dejan Sarka | Publisher: Packt Publishing | Year: 2017  | Language: English | Pages : 558 | ISBN: 178646182X, 9781786461827 | Size: 35 MB | Extension: pdf

 

Book Description

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

 

 

Authors

Christian Cote

Christian 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

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

Dejan Sarka, MCT and SQL Server MVP located in Ljubljana, Slovenia, is an independent trainer and consultant who focuses on the development of database and business intelligence applications. Besides his projects, he spends around half of his time training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan is the main author and co-author of many books and courses about databases and SQL Server. He is a frequent speaker at many worldwide events.

 

Table of Contents

1: SSIS Setup
2: What Is New in SSIS 2016
3: Key Components of a Modern ETL Solution
4: Data Warehouse Loading Techniques
5: Dealing with Data Quality
6: SSIS Performance and Scalability
7: Unleash the Power of SSIS Script Task and Component
8: SSIS and Advanced Analytics
9: On-Premises and Azure Big Data Integration
10: Extending SSIS Custom Tasks and Transformations
11: Scale Out with SSIS 2017

 

 


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