Session

Data Mining in SQL Server 2017 On-Premise

This demo filled session will step through some predictive modeling functionality built into SQL Server Analysis Services (SSAS). We will start by review the data modeling and data cleansing needed before any predictive model design and implementation. SQL Server provides this with Integration Services, T-SQL and Data Quality Services.

After the data is formatted adequately for predictive modeling, we can start modeling and finding the best fit for examining forecasts and what if scenarios. SSAS provides models for clustering, neural networks, logistic and linear regression, decision tress and Naïve Bayes classifiers. We will not have time for all models, but be stepping through 2 or 3, you will leave with your brain firing on all cylinders about predicting data for your company or consulting firm.

Thomas LeBlanc

Data Warehouse Architect/MVP at Data on the Geaux

Baton Rouge, Louisiana, United States

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top