“Streaming Hadoop HBase Case Study: Turbo-charging Hadoop for
real-time machine data analytics” Session to be Presented at NoSQL Now!
Damian will be exploring the challenge of accelerating Hadoop for real-time operational intelligence by processing the live, high-velocity unstructured machine data streams before the data are stored. With the emergence of both streaming and the SQL language as key components of Big Data architectures, Damian’s presentation will demonstrate how to utilize the strengths of Hadoop in real-time operational intelligence applications using streaming SQL queries - a new concept for Big Data. The combination of streaming SQL for low latency analytics and Hadoop HBase for stream persistence and replay offers the lowest Total Cost of Performance for real-time Big Data applications.
Held at the
If you are a member of the press or analyst community and are interested in setting up a meeting with SQLstream at NoSQL Now! please contact
Breaking News! SQLstream named technology-innovation-award-winner%2F&esheet=50694291&newsitemid=20130820006081&lan=en-US&anchor=2013+Ventana+Research+Technology+Innovation+Award+Winner&index=5&md5=2f707663fd559ca897fd22f2718eb91f">2013
Ventana Research Technology Innovation Award Winner for IT
Analytics and Performance.
SQLstream (www.sqlstream.com) is the pioneer and innovator of a patented Streaming Big Data Engine that unlocks the real-time value of high-velocity unstructured machine data. SQLstream's s-Streaming products put Big Data on Tap™ - enabling businesses to harness action-oriented analytics, with on-the-fly visualization and streaming operational intelligence from their log file, sensor, network and device data. SQLstream's core data streaming technology is a massively scalable, distributed platform for analyzing unstructured Big Data streams using continuous SQL, with support for streaming SQL query execution on Hadoop and other enterprise database, data warehouse and data management platforms. SQLstream’s headquarters are in
NoSQL Now! 2013 Agenda