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SQL Server 2017 Machine Learning Services with R

You're reading from   SQL Server 2017 Machine Learning Services with R Data exploration, modeling, and advanced analytics

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787283572
Length 338 pages
Edition 1st Edition
Languages
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Authors (2):
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Julie Koesmarno Julie Koesmarno
Author Profile Icon Julie Koesmarno
Julie Koesmarno
Toma≈æ Ka≈°trun Kaštrun Toma≈æ Ka≈°trun Kaštrun
Author Profile Icon Toma≈æ Ka≈°trun Kaštrun
Toma≈æ Ka≈°trun Kaštrun
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Table of Contents (12) Chapters Close

Preface 1. Introduction to R and SQL Server FREE CHAPTER 2. Overview of Microsoft Machine Learning Server and SQL Server 3. Managing Machine Learning Services for SQL Server 2017 and R 4. Data Exploration and Data Visualization 5. RevoScaleR Package 6. Predictive Modeling 7. Operationalizing R Code 8. Deploying, Managing, and Monitoring Database Solutions containing R Code 9. Machine Learning Services with R for DBAs 10. R and SQL Server 2016/2017 Features Extended 11. Other Books You May Enjoy

Gathering relevant data

Gathering data - simple as it might be - is a task that needs to be well crafted. There are a few reasons for that. The first and most important is that we want to gather data in a way that will have minimum or zero impact on the production environment. This means that the process of collecting and storing data should not disturb any on-going process. The second important thing is storage. Where and how do you want to store the data and the retention policy of the stored data? At the beginning, this might seem a very trivial case, but over time, storage itself will play an important role. The third and also utterly important thing is which data you want to gather. Of course, we all want to have smart data present, that is, having all the data relevant for solving or improving our business processes. But in reality, gathering smart is neither that difficult...

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