MapR Brings Spark In-Memory Analysis To Hadoop
Oldest First  |  Newest First  |  Threaded View
Charlie Babcock
Charlie Babcock,
User Rank: Author
4/11/2014 | 7:45:38 PM
The powerful Hadoop platform
Hadoop is one of those brilliantly simple platforms -- a distributed file system on top of distributed processing combined with data mapping -- on which many increasingly sophisticated systems may be built. Good description here of Spark streaming analysis; it's probably one of them.
Michael Franklin
Michael Franklin,
User Rank: Apprentice
4/14/2014 | 12:35:45 PM
Clarification of Spark's Origin
MapR's announcement is indeed an important milestone in the progress of Spark as an enterprise solution.   However I need to correct one key point in your article.  Spark, Shark, Spark Streaming, ML-lib etc were all developed at the UC Berkeley AMPLab ( and have been open source since their inception.  They are components of the Berkeley Data Analytics Stack (BDAS) which has been and continues to be developed by students and researchers in the AMPLab.   Databricks is a company that spun out of the lab and that was founded by many of the key developers of Spark.

Register for InformationWeek Newsletters
White Papers
Current Issue
Increasing IT Agility and Speed To Drive Business Growth
Learn about the steps you'll need to take to transform your IT operation and culture into an agile organization that supports business-driving initiatives.
Twitter Feed
InformationWeek Radio
Sponsored Live Streaming Video
Everything You've Been Told About Mobility Is Wrong
Attend this video symposium with Sean Wisdom, Global Director of Mobility Solutions, and learn about how you can harness powerful new products to mobilize your business potential.