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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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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

External data with PolyBase

With data acquisition, we frequently face situations when data is not available in the SQL Server, and for our analysis, we usually import or query data from various other database platforms or other systems. SQL Server 2016 has introduced a new feature called PolyBase, which can help us with accessing external data from the SQL Server. PolyBase is able to access Hadoop-type file systems to query external data and to push the computation to Hadoop so that the SQL Server does not get overloaded while accessing large amounts of data.

The great benefit of PolyBase is the unification of two very different worlds: structured data and unstructured data. Hadoop is a collection of open source utilities, which includes a distributed file system called hdfs. This data distribution is a challenge for data analysis, since the data is distributed and located in...

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