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Japan SQL Server User Group
Kenichiro Nakamura
Mar/23 2019
SQL Server Machine Learning
R Service
Today’s Goal
Understand what is SQL Server ML Services
Understand the benefits
Understand the sample tutrial
SQL Server Machine Learning Services
https://docs.microsoft.com/en-us/sql/advanced-analytics/
home-advanced-analytics-r-machine-learning-sql-server?view=sql-server-ver15
Components
SQL Server Launchpad service
R packages (RevoScaleR)
R tools
Python packages
Python tools
etc.
Architecture
https://docs.microsoft.com/en-us/sql/advanced-analytics/what-is-sql-server-machine-learning?view=sql-server-ver15
RevoScaleR
RevoScaleR
https://docs.microsoft.com/en-us/sql/advanced-analytics/r/ref-r-revoscaler?view=sql-server-ver15
RevoScaleR is a library of high-performance data science
functions from Microsoft. Functions support data import, data
transformation, summarization, visualization, and analysis.
In contrast with base R functions, RevoScaleR operations can
be performed against very large datasets, in parallel, and on
distributed file systems. Functions can operate over datasets
that do not fit in memory by using chunking and by
reassembling results when operations are complete.
Why ML in SQL?
Why ML in SQL?
Bring Data to Processor
ML needs data and processor, which SQL Server has both assets.
Predict in transaction
Prediction runs in transaction of SQL.
Publish Model
SQL stores model as binary and easy to maintain versions.
https://www.youtube.com/watch?v=s7pJyitqKzQ&t=1656s
Modify the Trace Results View
Demo
Tutorial
R data analytics for SQL developers
Reference
SQL Server 2019 meets AI and Big Data
https://www.youtube.com/watch?v=SupdSeLtZyM
Analyzing Big Data with Microsoft R
https://www.edx.org/course/analyzing-big-data-with-microsoft-r-2
© Copyright Kenichiro Nakamura. All rights reserved.

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SQL Server Machine Learning Service

Hinweis der Redaktion

  1. Use wizard to capture sql_statement_completed and batch_sql_completed
  2. Use wizard to capture sql_statement_completed and batch_sql_completed
  3. Use wizard to capture sql_statement_completed and batch_sql_completed