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Hands-On Data Science with SQL Server 2017

You're reading from   Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Length 506 pages
Edition 1st Edition
Languages
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Authors (2):
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Vladimír Mužný Vladimír Mužný
Author Profile Icon Vladimír Mužný
Vladimír Mužný
Marek Chmel Marek Chmel
Author Profile Icon Marek Chmel
Marek Chmel
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Toc

Table of Contents (14) Chapters Close

Preface 1. Data Science Overview FREE CHAPTER 2. SQL Server 2017 as a Data Science Platform 3. Data Sources for Analytics 4. Data Transforming and Cleaning with T-SQL 5. Data Exploration and Statistics with T-SQL 6. Custom Aggregations on SQL Server 7. Data Visualization 8. Data Transformations with Other Tools 9. Predictive Model Training and Evaluation 10. Making Predictions 11. Getting It All Together - A Real-World Example 12. Next Steps with Data Science and SQL 13. Other Books You May Enjoy

Technical requirements

SQL Server 2017 is required to use all the scripts and projects in this chapter. If the SQL Server is the Express Edition only, then SSIS attempts will not be published into the Integration Services Catalog. SQL Server Data Tools should also be installed if you want to follow the SSIS example.

For all SQL scripts provided within this chapter, Management Studio Version 17.5 or higher is recommended.

All scripts and other files are provided here: https://github.com/PacktPublishing/Hands-On-Data-Science-with-SQL-Server-2017/tree/master/CH5_Data_Transforming_and_Cleaning_with_T_SQL. Scripts are ordered accordingly and are reported throughout the chapter.

In the CSV subfolder are files that contain sample customers and products used for samples.

The CH05_11_complete_SSIS_solution_BookProjectSSIS.zip file contains a working demo of the SSIS solution described...

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