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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

Questions

  1. Which predicate can be used when we are looking for the proper version of record in a temporal table?
    We can use the FOR SYSTEM_TIME predicate written directly after the temporal table name used in a FROM clause of the query.
  2. Which parameter of the sp_execute_external_script is used to define the parameters passed into the external script?
    This is the nvarchar parameter, which is called @params.
  3. What do we need to do with a model stream sent to the sp_execute_external_script stored procedure?
    We need to deserialize it.

  1. Does the PREDICT function work on any predictive model?
    No, this function works only with models that are calculated using predictive functions that start with the rx prefix.
  2. Which service is needed for regular model retraining?
    The SQL Server Agent. This service is present with any commercial instance of the SQL Server. We should ensure that the...
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