SAS and Netezza expand partnership
26th November 2009 by No CommentsThe FIrst Coffee blog reports that SAS and Netezza have expanded their partnership to allow for SAS model code to run in parallel on Netezza’s TwinFin appliance.
Predictive analytics, data mining, business intelligence and more. Information useful to analysts and data people of all kinds
The FIrst Coffee blog reports that SAS and Netezza have expanded their partnership to allow for SAS model code to run in parallel on Netezza’s TwinFin appliance.
IBM has acquired SPSS and more recently acquired business analytics firm Red Pill. Now they are announcing an internal analytics product called Blue Insight, the largest private cloud computing business analytics environment in the world. Check out the Techcrunch article.
It is helpful to get other peoples’ perspectives about what sort of customer metrics can be beneficial to track and Kevin Hillstrom has put together a pretty good list. Check it out.
DBMS2 takes a look at these three myths about mapreduce…
* MapReduce is something very new
* MapReduce involves strict adherence to the Map-Reduce programming paradigm
* MapReduce is a single technology
I’ve come across a two baby/birth related articles recently and thought I would share them both together. Both present information related to when a baby is born, specifically the time of year.
Wall Street Journal
Columbia
If you’ve ever played a game of Scrabble and thought that there was something not quite right about the tiles and their associated points value, an economist from Northwestern University agrees with you. Check out this Wall Street Journal article.
Here’s a video of a panel discussion from the recent OMMA Metrics & Measurement Conference in NY.
Here’s a link for more…
Most people take special care to protect their social security numbers for fear that it may be stolen and used to secure false identification or lines of credit. Until recently, that may have been enough. Now, because of publicly available data for people who have died called the Death Master File and some [...]
Here’s a great article from DataWrangling about using Amazon’s Cloud services to analyze traffic data from Wikipedia. The 320 GB data set is available to the public here.
Flowing Data highlights the increasing role of the data scientist.