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SQL Server 2017 Integration Services Cookbook

You're reading from SQL Server 2017 Integration Services Cookbook Powerful ETL techniques to load and transform data from almost any source

Product type Paperback

Published in Jun 2017

Publisher Packt

ISBN-13 9781786461827

Length 558 pages

Edition 1st Edition

Languages

SQL

Tools

SQL Server

Concepts

Database Administration

Authors (6):

Matija Lah

Christo Olivier

Christian Cote

Dejan Sarka

David Peter Hansen

Samuel Lester

+2 more

View More author details

Table of Contents (12) Chapters

Preface

1. SSIS Setup FREE CHAPTER

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

Introduction

Business intelligence projects often reveal previously unseen issues with the quality of the source data. Dealing with data quality includes data quality assessment, or data profiling, data cleansing, and maintaining high quality over time.

In SSIS, the data profiling task helps you find unclean data. The data profiling task is not like the other tasks in SSIS because it is not intended to be run over and over again through a scheduled operation. Think about SSIS as being the wrapper for this tool. You use the SSIS framework to configure and run the data profiling task, and then you observe the results through the separate data profile viewer. The output of the data profiling task will be used to help you in your development and design of the ETL and dimensional structures in your solution. Periodically, you may want to rerun the data profile task to see how the data has changed, but the package you develop will not include the task in the overall recurring ETL process.

SQL Server...

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Authors (6)

Lah

Lah

Matija Lah has more than 18 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 him being awarded the MVP Professional award (Data Platform) between 2007 and 2017/2018. 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.

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Cote

Cote

Christian Cote is an IT professional with more than 15 years of experience working in a data warehouse, Big Data, and business intelligence projects. Christian developed expertise in data warehousing and data lakes over the years and designed many ETL/BI processes using a range of tools on multiple platforms. He's been presenting at several conferences and code camps. He currently co-leads the SQL Server PASS chapter. He is also a Microsoft Data Platform Most Valuable Professional (MVP).

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Dejan Sarka

Dejan Sarka

Dejan Sarka, MCT and Microsoft Data Platform MVP, is an independent trainer and consultant who focuses on the development of database and business intelligence applications. He is the founder of the Slovenian SQL Server and .NET Users Group.

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Olivier

Olivier

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Samuel Lester

Samuel Lester

See other products by Samuel Lester

David Peter Hansen

David Peter Hansen

See other products by David Peter Hansen

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