Collaboration Supports Ever-Growing Cascading Community; Offers Services to Drive Further Business Value From Big Data Application Developments on Apache Hadoop
Company Behind Cascading Continues to Expand Management Team to Execute and Deliver on Core Product Strategy
SAN FRANCISCO, CA — (Marketwired) — 08/13/13 –Cascading production base grows to more than 4,500 deployments, 30,000 users and 90,000 downloads per monthContinued innovation and strategic partnerships helps propel momentumNew CEO, Vice President of Engineering appointments and Series A funding support growth and product development, the enterprise Big Data application platform company, wraps up the first half of 2013 with unprecedented growth and momentum. The company continues to drive Big D
SAN FRANCISCO, CA — (Marketwired) — 07/10/13 –Learn Everything You Need to Know about the Most Widely Used and Deployed Technology for Big Data Applications; Online Access Now AvailableAuthor Paco Nathan to Speak at OSCON 2013, the enterprise Big Data application platform company, today announced the book release of "" by Paco Nathan, director of data science at Concurrent. Published by , the hands-on book introduces readers to , the most widely used and deployed technology for Big
Company Behind Cascading Strengthens Executive Team With Addition of Big Data Veteran
SAN FRANCISCO, CA — (Marketwired) — 06/19/13 — , the enterprise Big Data application platform company, today announced that Paco Nathan, director of Data Science, will deliver a talk, titled " — an open source project for migrating predictive models from SAS, R, Microstrategy®, etc., onto Hadoop" at the 6th Annual North America, taking place June 26-27, 2013 in San Jose, Calif. This two-day event will feature Apache Hadoop thought leaders who will showcase successful Hadoop u
Cascading and the Hortonworks Data Platform Make Hadoop Application Development and Machine-Learning Deployment Quick and Easy
Concurrent-s Paco Nathan to Deliver Open Data Talk With Junar CEO, Co-Founder Diego May
Launches Pattern, in Combination With Cascading and Lingual; Completes the Ensemble and Bridges the Gap for Enterprises to Fulfill the Promise of Hadoop in the Enterprise
MapR Provides Direct Integration With Concurrent-s Open Source Cascading Framework in Hadoop Distribution