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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

Data Visualization

A picture is worth a thousand words is an old phrase that is also true in the data science domain. Having a large amount of numbers will not be as useful as representing them with a graph or other graphics element. SQL Server does provide two major services used for data visualization or representation: SQL Server Reporting Services and Power BI Report Server. Both run locally on your SQL Server and offer you a variety of development options for data visualization projects. Another option would be the machine learning services and the available packages for Python and R. Both languages have their own set of visualization packages with different options.

Developing a visualization solution requires numerous roles, proper planning, and design for a successful rollout in the enterprise environment. Usually these visualization projects are handled by the business...

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