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SQL Server 2017 Machine Learning Services with R.

You're reading from  SQL Server 2017 Machine Learning Services with R.

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781787283572
Pages 338 pages
Edition 1st Edition
Languages
Authors (2):
Julie Koesmarno Julie Koesmarno
Profile icon Julie Koesmarno
Tomaž Kaštrun Tomaž Kaštrun
Profile icon Tomaž Kaštrun
View More author details

Table of Contents (12) Chapters

Preface Introduction to R and SQL Server Overview of Microsoft Machine Learning Server and SQL Server Managing Machine Learning Services for SQL Server 2017 and R Data Exploration and Data Visualization RevoScaleR Package Predictive Modeling Operationalizing R Code Deploying, Managing, and Monitoring Database Solutions containing R Code Machine Learning Services with R for DBAs R and SQL Server 2016/2017 Features Extended Other Books You May Enjoy

Analytical barriers

Many companies encounter barriers when trying to analyse their data. These barriers are usually knowledge scarcity (not all departments have the knowledge to analyse the data) and data dispersity (usually data arrives from different sources).

Enterprises divide responsibilities according to the roles or functions of the employees. Such division of work has a positive effect, especially when an enterprise is large. Usually, small to mid-sized enterprises adopt such roles as well, but they are normally granulated on a higher level due to a smaller number of employees.

With rapid market changes, the emergence of new technologies, and the need for faster adaptation, many experts have noticed many of the following barriers:

  • Data scarcity and data dispersity
  • Complex (and many times outdated) architecture
  • Lack of knowledge
  • Low productivity
  • Slow adaptation to market...
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