Skip to Main Content
SQL Server 2017 Machine Learning Services with R
book

SQL Server 2017 Machine Learning Services with R

by Toma≈æ Ka≈°trun Kaštrun, Julie Koesmarno
February 2018
Intermediate to advanced content levelIntermediate to advanced
338 pages
7h 5m
English
Packt Publishing
Content preview from SQL Server 2017 Machine Learning Services with R

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 ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

SQL Server Big Data Clusters: Data Virtualization, Data Lake, and AI Platform

SQL Server Big Data Clusters: Data Virtualization, Data Lake, and AI Platform

Benjamin Weissman, Enrico van de Laar
Mastering SQL Server 2017

Mastering SQL Server 2017

Milos Radivojevic, Dejan Sarka, William Durkin, Christian Cote, Matija Lah

Publisher Resources

ISBN: 9781787283572Supplemental Content