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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

Using Integration Services for data transformation

SSIS have been part of the SQL Server since version 2005. A brief introduction to SSIS was written in Chapter 5, Data Transformation and Cleaning with T-SQL. Now we will jump deeper into one of the control-flow tasks, called Data Flow Task. The previous section showed us some of the data transformations used in data science. In this section, we will create a simple categorization of source data.

Setting up a SSIS project

First of all, we need to know which data we have as input. Here, we have two CSV files. One of them is named Products.csv, while the second is named Categories.csv. The Products.csv file contains a list of products with their names, list prices, and a CategoryID...

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