Microsoft provides several technologies in and around SQL Server which can be used for casual to serious data science. This presentation provides an authoritative overview of five major options: SQL Server Analysis Services, Excel Add-in for SSAS, Semantic Search, Microsoft Azure Machine Learning, and F#. Also included are tips on working with Python and R. These technologies have been used by the presenter in various companies and industries. This presentation will emphasize the back office story for supporting big data processing.
23. Time in Seconds vs. Number of Documents
(2011 – K. Mukerjee, T. Porter, S. Gherman – Microsoft)
http://users.cis.fiu.edu/~lzhen001/activities/KDD2011Program/docs/p213.pdf
37. Technology Use Case
SQL Server Analysis
Services
SQL Server Licensed
Windows Authentication
Groups
Excel Add-In for SSAS
Semantic Search
Azure Machine
Learning
F#
38. Technology Use Case
SQL Server Analysis
Services
SQL Server Licensed
Windows Authentication
Groups
Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users
Development Server
Semantic Search
Azure Machine
Learning
F#
39. Technology Use Case
SQL Server Analysis
Services
SQL Server Licensed
Windows Authentication
Groups
Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users
Development Server
Semantic Search SQL Server: Good for Volume Processing
Azure Machine
Learning
F#
40. Technology Use Case
SQL Server Analysis
Services
SQL Server Licensed
Windows Authentication
Groups
Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users
Development Server
Semantic Search SQL Server: Good for Volume Processing
Azure Machine
Learning
Students; Web Applications (R & Python)
Input: Azure-based Sources
Quickly Deploy
F#
41. Technology Use Case
SQL Server Analysis
Services
SQL Server Licensed
Windows Authentication
Groups
Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users
Development Server
Semantic Search SQL Server: Good for Volume Processing
Azure Machine
Learning
Students; Web Applications (R & Python)
Input: Azure-based Sources
Quickly Deploy
F# .NET Development