Cloudera bought DataPad because data scientists need tooling, too


Cloudera’s embrace of Apache Spark as a framework for running a majority of future big data jobs speaks to this strategy, as well. Users don’t just like Spark because it’s faster than MapReduce, they also like it because it’s easy to program and supports the Java, Scala and Python languages. This will be especially beneficial for projects such as Cloudera Oryx, a set of machine learning libraries currently being rewritten on top of Spark, and almost certain to be adopted primarily by data science types.

Source: gigaom.com

Cloudera’s embrace of Apache Spark as a framework for running a majority of future big data jobs speaks to this strategy, as well. Users don’t just like Spark because it’s faster than MapReduce, they also like it because it’s easy to program and supports the Java, Scala and Python languages. This will be especially beneficial for projects such as Cloudera Oryx, a set of machine learning libraries currently being rewritten on top of Spark, and almost certain to be adopted primarily by data science types.

See on Scoop.itData Nerd’s Corner

Advertisements
Leave a comment

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: