Dear Visitor,

Our system has found that you are using an ad-blocking browser add-on.

We just wanted to let you know that our site content is, of course, available to you absolutely free of charge.

Our ads are the only way we have to be able to bring you the latest high-quality content, which is written by professional journalists, with the help of editors, graphic designers, and our site production and I.T. staff, as well as many other talented people who work around the clock for this site.

So, we ask you to add this site to your Ad Blocker’s "white list" or to simply disable your Ad Blocker while visiting this site.

Continue on this site freely
  HOME     MENU     SEARCH     NEWSLETTER    
NEWS & INFORMATION FOR TECHNOLOGY PURCHASERS. UPDATED ABOUT A MINUTE AGO.
You are here: Home / Contributed Content / The Cost of Streaming Big Data
SQLstream Explores Total Cost of Streaming Big Data
SQLstream Explores Total Cost of Streaming Big Data
News as reported by the company Like this on Facebook Tweet this Link thison Linkedin Link this on Google Plus
PUBLISHED:
SEPTEMBER
04
2013

SQLstream Explores the Total Cost of Streaming Big Data Solutions at TDWI Solution Summit 2013, September 15-17 -- CEO Damian Black to Present "Operational Intelligence from Machine Big Data: Case Studies in Taming the Cost of Real-time Performance"

San Francisco, CA, September 4, 2013 -- SQLstream Inc., the streaming Big Data engine for real-time operational intelligence, today announced that the company will speak on the cost of performance for real-time Big Data solutions at the TDWI Solution Summit in Austin, TX. SQLstream will also be demonstrating its streaming SQL platform for real-time operational intelligence from machine Big Data.

The session, scheduled for Tuesday September 17 at 10:00AM, will discuss current Big Data management technologies, the performance and cost tipping points for real-time Big Data solutions, and ways to solve real-time Big Data challenges with the lowest cost of performance. SQLstream CEO Damian Black will compare three very different Relevant Products/Services case studies across a range of industries, highlighting how SQLstream's streaming Big Data management platform has been leveraged to reduce Relevant Products/Services congestion, preempt Relevant Products/Services theft and deliver log analytics for high performance computing.

Held at the Barton Creek Resort and Spa on September 15-17, TDWI Solution Summit is an exclusive event for experienced professionals, industry thought leaders, and top solution providers. Attendees gain real-world tips and best practices that will help them harness the power of big Relevant Products/Services analytics within their organizations.

Damian Black is known for his pioneering work in real-time and Big Data software and his commitment to reducing latency-to-action for business operations. "TDWI is the foremost organization for enterprise IT professionals and industry best practices," said the CEO. "TDWI's members recognize the importance of standards and SQL to their businesses, but also the need to adopt real-time Big Data technologies. SQLstream is the only company to offer the best of both worlds, delivering real-time operational intelligence from streaming Big Data using standard SQL as the query language."

About SQLstream

SQLstream, Inc. (www.sqlstream.com) empowers businesses to perform real-time analytics and extract operational intelligence from unstructured log file, sensor and other machine-generated Big Data. The SQLstream streaming Big Data engine is a distributed, 100% SQL platform for real-time data management and operational intelligence Relevant Products/Services. SQLstream offers a full range of integration agents and adapters, including log files, support for Hadoop and other enterprise data management platforms. SQLstream operates in San Francisco, CA.

Tell Us What You Think
Comment:

Name:

Like Us on FacebookFollow Us on Twitter
MORE IN CONTRIBUTED CONTENT
NEWSFACTOR.COM
NEWSFACTOR NETWORK SITES
NEWSFACTOR SERVICES
© Copyright 2016 NewsFactor Network. All rights reserved. Member of Accuserve Ad Network.