SQL and AI
SQL and AI
Robin Lester
Data Movement Moving data from the database to the R/Python runtimes becomes painful as data volumes grow and carries security and compliance risks
Data Transformation Preparing and transforming data for cleansing and feature engineering is time consuming
Deployment How do I call a machine learning script from my production application and how do I operationalize my models?
Scale & Performance Many R/Python functions run single threaded and only accommodate datasets that fit into
available memory.
Have a question to answer
Prep data
Select the
algorithm
Train the model
Test the model
SQL Server
? Extensibility Framework ? R (2016) ? Python (2017) ? Java (2019)
? Native Scoring using PREDICT ? In-database Package Management ? Microsoft Machine Learning Server
Azure SQL Database
? Native scoring using PREDICT ? R Support in West Central US
(Preview) ? Base R packages ? RevoScaleR package ? Trivial parallelism & streaming
support
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- sql tutorial
- cs 377 database systems relational calculus and sql
- sql server tsql read only
- syspro 8 reference guide
- m y s q l b y e x a m p l e s f o r b e g i n n e r s
- sql cheat sheet websitesetup
- simplify database maintenance with table partitions
- 1 264 lecture 15 mit opencourseware
- handling missing values in the sql procedure
- how do you access an sql database in wincc runtime
Related searches
- best ai investments for 2019
- ai stocks to buy 2019
- sql and python tutorial
- ai trace
- adobe ai tutorial
- ai vs machine learning vs deep learning
- ai vs machine learning
- difference ai and machine learning
- machine learning vs ai vs deep learning
- silicon valley ai companies list
- ai companies to invest in
- ai music generator free