Cloudera users gain more choice, tighter Oracle integration. Cloudera partners gain increased validation of their platform choice.
Ed leads business development for Cloudera. He is responsible for identifying new markets, revenue opportunities and strategic alliances for the company.
Summary: Oracle has selected Cloudera’s Distribution Including Apache Hadoop (CDH) and Cloudera Manager software as core technologies on the Oracle Big Data Appliance,
Unstructured data is the fastest growing type of data generated today. The growth rate of text, documents, images, and clickstream data is incredible. Expand the scope of view to include machine generated data such as telemetry, location, network and weather sources and that growth rate is unnerving. An inspiring population of customers have come to recognize that the Apache Hadoop data management platform is, in many ways, uniquely equipped to handle the volume, variety and velocity of unstructured data being generated within their businesses.
Ed Albanese leads business development for Cloudera. He is responsible for identifying new markets, revenue opportunities and strategic alliances for the company.
Rackspaces OpenStack announcement is an important step in expanding the utility of public clouds. It will push other cloud vendors to stop “forking around” and enable the standards customers are actually using. Rackspaces move is a win for consumers and for Rackspace it creates the opportunity to run industry standard software in truly optimized ways.
This post was contributed by researcher Scott Golder, who studies social networks at Cornell University. Scott was previously a research scientists at HP Labs and the MIT Media Laboratory.
The methods of social science are dear in time and money and getting dearer every day.
— George C. Homans, Social Behavior: Its Elementary Forms, 1974.
When Homans — one of my favorite 20th century social scientists — wrote the above,
This blog was co-written by Nitin Madnani andJimmy Lin, both researchers at the University of Maryland, who are sharing their thoughts and experiences with Apache Hadoop and Python for improving Natural Language Processing techniques.
If you listen to analysts talk about complex data, they all agree, it’s growing, and faster than anything else before. Complex data can mean a lot of things,