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Data Science with SQL Server Quick Start Guide

You're reading from   Data Science with SQL Server Quick Start Guide Integrate SQL Server with data science

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789537123
Length 206 pages
Edition 1st Edition
Languages
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Author (1):
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Dejan Sarka Dejan Sarka
Author Profile Icon Dejan Sarka
Dejan Sarka
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Table of Contents (10) Chapters Close

Preface 1. Writing Queries with T-SQL FREE CHAPTER 2. Introducing R 3. Getting Familiar with Python 4. Data Overview 5. Data Preparation 6. Intermediate Statistics and Graphs 7. Unsupervised Machine Learning 8. Supervised Machine Learning 9. Other Books You May Enjoy

Summary

In this chapter, you were given a quick introduction to the mighty T-SQL SELECT statement. You are ready to query the data you have stored in a SQL Server database. However, T-SQL is a language that is specialized to work with data, to query and modify it. It logically operates on a whole dataset at once. When operating on a whole set of data, T-SQL is extremely efficient. However, it is not very efficient for advanced mathematical operations inside a single row and between rows in a row-by-row manner. This is not very appropriate for the data science tasks, where  you often need to perform such advanced mathematical analyses. Therefore, we need another language. In the next chapter, you will learn about the first option, the R language.

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Data Science with SQL Server Quick Start Guide
Published in: Aug 2018
Publisher: Packt
ISBN-13: 9781789537123
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