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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

Creating a baseline and workloads, and replaying

Given the ability to reduce and create new measures that are tailored and adapted to your particular server or environment, now we want to understand how the system is behaving with all the other parameters unchanged (in Latin, ceteris paribus). This is the baseline. And with the baseline, we establish what is normal, or in other words, what the performance is under normal conditions. A baseline is used for comparing what might be or seem abnormal or out of the ordinary. It can also serve as a control group for any future tests (this works well especially when new patches are rolled out an upgrade of a particular environment/server needs to be performed).

A typical corporate baseline would be described as follows over a period of one day (24 hours) in the form of the number of database requests from users or machines:

When all...

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