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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

Accessing external data sources using PolyBase

PolyBase allows your SQL Server instance to access data outside of the server/database using T-SQL. In SQL Server 2016, you can run queries on external data in Hadoop or import data from Azure Blob Storage:

Figure 10.8: PolyBase concept (source: https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-guide)

In this section, we'll use a similar dataset as in the previous section, represented as CSV files in Azure Blob Storage. These CSV files represent the EMS incidents, which will be exposed as an external table in SQL Server. The goal for this walk-through is to understand seasonality and the trending of EMS incidents. We will use R in the SQL Server to do this and view the chart in SQL Operations Studio.

The following are the prerequisites to get started:

  1. The SQL Server instance installed with PolyBase...
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