Issue printing R tables in ipython notebook

IPython has a "rich output" interface

options(jupiter.rich_display = FALSE)

Check

Microsoft ML, Jupiter Lab

RTVS vs R Studio

- not a competitor
- covers different use cases
- RTVS: good integration with SQL Server, Azure

CRAN R / MRO / Scale R

Cran R

Vanilla R (CRAN), Academia In-memory, Single-threaded

MRO

MRO: CRAN R + Intel MKL (Intel Math Kernel Library) MRO: Microsoft R Open, formerly known as Revolution R Open (RRO), Enhanced R libraries: https://mran.microsoft.com/open/ In-memory Multi-threaded MKL: Linear Algebra functions

Scale R

MRS: CRAN R + MRO + Scale R PEMA = Parallel External Memory Algorithms Out-of-core functions

Microsoft R Client (PEMA, 2 cores, in-memory)

dplyr

• takes data frame in, gives data frame back
• super quick - c++ at the back (r is just an interface)
• does one thing well

• has multiple backends for working with data stored in various sources: SQLite, MySQL, bigquery, SQL Server, and many more

• check evaluation functions (same as normal with underscore, i.e. filter_ ) and then you can provide val which is the name of the variable that can be provided in the run time

RDS objects

• Serialised R objects
• http://www.fromthebottomoftheheap.net/2012/04/01/saving-and-loading-r-objects/

EdX course: https://www.edx.org/course/analyzing-big-data-microsoft-r-server-microsoft-dat213x

Visualisation:

http://gallery.htmlwidgets.org/

GBB (EMEA) / ex-Revolution R:

Simon Field

• note check with him about EARL / British Car Auctions use case

Books on R:

• The art of R programming (available on Safari)
• Advanced R (free, more low-level stuff, good explanation of functionals & memory): http://adv-r.had.co.nz/
• Microsoft R Server: https://bookdown.org/alizaidi/mrs-spark-ml/introduction.html#microsoft-r-server-ftw

Also check: https://bookdown.org/

MRS Deploy

• Command-line tools to work with Microsoft R Server https://msdn.microsoft.com/en-us/microsoft-r/mrsdeploy/mrsdeploy-intro-vignette

• https://msdn.microsoft.com/en-us/microsoft-r/operationalize/about

Training courses:

http://learnanalytics.microsoft.com/home/training