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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

Getting It All Together - A Real-World Example

The previous chapters in this book taught us how to use particular technologies or features within or outside of SQL Server, but this chapter is going to be different. We will use some of the technologies and features described earlier, and we will also build an entire predictive solution. This chapter will guide us through the following sections:

  • Assignment and preparation: First of all, we need to know the topic of our real-world example. We also need to prepare the environment for further work. This section is all about the assignment of the project and its preparation tasks.
  • Data exploration: Our projects already have data saved into a relational database. In this section, we will explore what the data contains, how reliable the data quality is, and we'll develop a statistical summary of the data
  • Data transformation: Based...
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