Gartner Advanced Analytics Magic Quadrant Updates

William Vorhies summarizes the changes to the Gartner Advanced Analytics magic quadrant:

The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard.  Say what you will about our profession but as a platform developer you certainly can’t rest on your laurels.  Some traditional leaders have fallen (SAS, KNIME, H2Oai, IBM) and some challengers have risen (Alteryx, TIBCO, RapidMiner).

Databricks is making a big push and there’s more movement than usual in this year’s chart. Check it out.

Related Posts

Conjoint Analysis In R

Abhijit Telang introduces the concept of conjoint analysis and shows how you can implement this in R: We will need to typically transform the problem of utility modeling from its intangible, abstract form to something that is measurable. That is, we wish to assign a numeric value to the perceived utility by the consumer, and […]

Read More

Bayesian Modeling Of Hardware Failure Rates

Sean Owen shows how you can use Bayesian statistical approaches with Spark Streaming, using the example of hard drive failure rates: This data doesn’t arrive all at once, in reality. It arrives in a stream, and so it’s natural to run these kind of queries continuously. This is simple with Apache Spark’s Structured Streaming, and proceeds […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Categories

February 2019
MTWTFSS
« Jan  
 123
45678910
11121314151617
18192021222324
25262728