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Hands-On Data Science with SQL Server 2017

You're reading from  Hands-On Data Science with SQL Server 2017

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Pages 506 pages
Edition 1st Edition
Languages
Authors (2):
Marek Chmel Marek Chmel
Profile icon Marek Chmel
Vladimír Mužný Vladimír Mužný
Profile icon Vladimír Mužný
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Data Science Overview 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

Summary

In this chapter, we learned that SQL Server provides two major services used for data visualization or representation: SQL Server Reporting Services and Power BI Report Server. We saw how to add visualizations and charts to these services to produce reports based on your data available in heterogeneous data sources.

In the next chapter, we will summarize the main points in all the previous chapters and conclude with some outcomes. The chapter will also provide ideas of how to continue working with data science, trends that are likely in the future, and other technologies that will play a strong role in data science.

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