In this session, I'm very excited to show you from start to finish how to use Machine Learning to predict a sentiment in real-time with Python and SQL Server (On-Premise). - AGENDA: 1. Add ML Features 2. Grant Access 3. Config 4. Install Retrained & Open-source ML Models 5. Code in Python and T-SQL 6. Real-time scoring 7. Review Sentiment Results

1. Hiram Fleitas
Fleitas Arts
Public: goo.gl/BqfYSi
Real-time Sentiment Prediction
in SQL Server

2. Please silence
cell phones

5. Session
evaluations
Your feedback is very
important.
This is the link:
Submit your feedback by the end of this
presentation.
goo.gl/Jj1yBq

6. BIOFather
Principal DB Architect
*SQL Server since 1999
Developer since 1995
IT Professional
USCG Auxiliary Staff Officer
Microsoft Certified Professional
Hiram Fleitas
Principal Database Architect @UPCIC
/HiramFleitas
hiramfleitas@hotmail.com
dba2o.wordpress.comHiramFleitas
@HiramFleitas
/hfleitas
FUNConstruction & Family

7. Agenda
• Add ML Features
• Grant Access
• Config
• Install Pre-Trained & Open Source ML Models (DNN)
• Code in Python and T-SQL
• Python Profiling
• Real-time scoring
• Review Sentiment Results
• Resources

8. DEMOSQL Server
Machine Learning & AI

52. 6
8999 8999
30 17 30.2
529.35
2999.66
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
PySQL In-DB CLR
5x Faster (sp_rxPredict) – Laptop
Rows Seconds RPS

53. Summary
• Add ML Features (exe components)
• Grant Access (users, groups, add login & user)
• Config (external scripts enabled, working directory)
• Install Pre-Trained & Open Source ML Models (DNN) (PowerShell,
rsetup.exe)
• Code in Python and T-SQL (visual studio, SSMS)
• Python Profiling (visual studio, execution plan, CPU)
• Real-time scoring (rx_serialize_model, realtime_scoring_only = True)
• Review Sentiment Results (sp_rxPredict wins!)
• Resources

54. Hiram Fleitas
Saturday, March 2nd, 2019
9:50 am - 11 am
SQL / BI
Resources
• Blog: https://dba2o.wordpress.com
• Slides & Scripts: https://goo.gl/BqfYSi
• SQL Server R Services Samples: Microsoft Repo
• Visual Studio 2017: Download
• Microsoft AI: AI School Learning Paths
• Pre-Trained ML Models: Install in SQL Server
• SQL Server Machine Learning Services: Tutorials
• SQL Server Components to Support Python: Interaction of
Components
• Threading ML: Logistic Regression
• Resource Governor: Alter External Resource Pool
• Interactive deep learning: Learn alert

55. Thank YouHiram Fleitas
Hit me up!
/HiramFleitas
hiramfleitas@hotmail.com
dba2o.wordpress.comHiramFleitas
@HiramFleitas
/hfleitas