Special offers now — see discounted courses.
day
:
hour
:
min
:
sec
See special offers
SQL Server Machine Learning Services: R

SQL Server Machine Learning Services: R

2h 12mAdvanced2024-08-13

Authors

Adam Wilbert

Adam Wilbert

Data Visualization Expert

Course details

SQL Server now includes support for direct execution of R code. This integration allows complex data science analyses to be performed quickly in a secure environment, without having to export data sets first. In this course, database expert Adam Wilbert walks through the steps of enabling the required components—including Machine Learning Services for R—and writing basic R scripts. He also shows how to retrieve and work with data stored in SQL Server tables, create data visualizations with external R libraries, and package scripts as stored procedures. At the end of the course, traditional SQL Server users will be able to dive deeper into using R and traditional R developers will be able to take advantage of using SQL Server as the source of data to create higher-performing analyses.

Topics include:
Installing Machine Learning Services
Writing your first R script
Importing data
Querying data
Outputting data to a result set
Creating a data frame
Creating SQL stored procedures from R scripts
Producing graphs, plots, and charts
Creating an external data science client

Skills covered

SQL ServerRStatisticsDatabase AdministrationMachine LearningDatabase ManagementArtificial Intelligence (AI)Programming LanguagesData ScienceOpen SourceMicrosoftSoftware DevelopmentDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - Analyze SQL Server data with R
  • 02 - What you should know
  • 03 - Make the most of the exercise files

1. Get Started with MLS

  • 04 - What is Machine Learning Services (MLS)
  • 05 - Install Machine Learning Services for R
  • 06 - Enable script execution in SQL Server
  • 07 - Write your first R script
  • 08 - R data types

2. Write R Scripts for SQL Server

  • 09 - Variables in R
  • 10 - Import a data set from SQL Server
  • 11 - Query data into an R data frame
  • 12 - Output data to a result set
  • 13 - Select values from a data frame
  • 14 - Create a data frame from vectors
  • 15 - Subset a data frame
  • 16 - Challenge - Import data
  • 17 - Solution - Import data

3. Create a SQL Stored Procedure

  • 18 - Sample a data set
  • 19 - Parameterize a stored procedure
  • 20 - Challenge - Write a stored procedure
  • 21 - Solution - Write a stored procedure

4. Output Graphics with R

  • 22 - View installed packages
  • 23 - Produce graphs and plots
  • 24 - Create a bar plot
  • 25 - Challenge - Create a pie chart
  • 26 - Solution - Create a pie chart

5. Create an External Data Science Client

  • 27 - Install MLS on a standalone server
  • 28 - Add development tools to a client
  • 29 - Install and configure RStudio

Conclusion

  • 30 - Next steps

Related courses

Related learn paths

About us

LyndaKade is a leading learning platform that helps people learn business, software, technology, and creative skills to achieve personal and professional goals.

Phone numberAparat ChannelTelegram SupportTelegram ChannelInstagram Page

All rights to this site belong to LyndaKade.

Terms of Service|Privacy Policy

نماد الکترونیک enamad در صورت اتصال با آی‌پی داخل کشور، نمایش داده خواهد شد.
logo-samandehi - لوگو ساماندهی
zarinpal
zibal