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Datawatch to Join CloudantCON 2014 Panel Discussing JSON Capabilities for Enterprise Information Management Applications - Conference sponsorship, participation follows announced support for building data visualizations into applications on Cloudant’s NoSQL database-as-a-service - Datawatch.com
Datawatch to Join CloudantCON 2014 Panel Discussing JSON Capabilities for Enterprise Information Management Applications

 

NewswireToday - /newswire/ - Chelmsford, MA, United States, 2014/06/10 - Conference sponsorship, participation follows announced support for building data visualizations into applications on Cloudant’s NoSQL database-as-a-service - Datawatch.com. NASDAQ-CM: DWCH

   
 
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Datawatch Corporation, a leading global provider of visual data discovery solutions, announced today that Vice President of Product Marketing, Dan Potter, will be speaking on a panel discussing the integration of JavaScript Object Notation (JSON) capabilities into enterprise information management products at the upcoming CloudantCON user conference. The event, hosted by Cloudant, an IBM company, will be held June 16th and 17th at Public Works in San Francisco.

Scheduled for the afternoon of June 17th, the panel session,“Refreshing Enterprise Analytics for the Cloud,” will explore rising interest among suppliers of information management products in providing JSON capabilities as the data format becomes increasingly common in enterprise use-cases. In addition to Potter, the panel will feature: Cloudant Vice President, Product, Dan DeMichele; and BitYota CEO Dev Patel.

“The variety, velocity and volume of data in the enterprise are all growing and showing no signs of slowing,” Potter observed. “I'm excited to be participating on this panel with people who each bring unique expertise and insight into how developments in Cloud-oriented technologies and the three-v challenge are changing the approach to applications and enterprise architectures.”

Datawatch recently announced its advanced data visualization and discovery software would integrate with Cloudant’s NoSQL database-as-a-service (DBaaS) to help Web and mobile software developers quickly build data visualizations into their applications. Working with Cloudant engineers, Datawatch developed a custom JavaScript Object Notation (JSON) parser that enables streaming of data from Cloudant server clusters at large scale for high-performance data visualizations. Datawatch users can perform live queries on Cloudant data and drill down into operational application data to make faster decisions.

About Datawatch Corporation
Datawatch Corporation (datawatch.com) provides visual data discovery software that optimizes any data regardless of its variety, volume, or velocity delivering next generation analytics to reveal valuable insights for improving business. Its unique ability to integrate structured, unstructured, and semi-structured sources like reports, PDF files and EDI streams with real-time streaming data into visually rich analytic applications allows users to dynamically discover key factors that impact any operational aspect of their business. This ability to perform visual discovery against any data sets Datawatch apart in the big data and visualization markets. Organizations of every size, worldwide use Datawatch products, including 99 of the Fortune 100. Datawatch is headquartered in Chelmsford, Massachusetts with offices in New York, London, Munich, Stockholm, Singapore, Sydney and Manila, and with partners and customers in more than 100 countries worldwide.

Safe Harbor Statement under the Private Securities Litigation Reform Act of 1995
Any statements contained in this press release that do not describe historical facts may constitute forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Any such statements, including but not limited to those relating to results of operations, contained herein are based on current expectations, but are subject to a number of risks and uncertainties that may cause actual results to differ materially from expectations. The factors that could cause actual future results to differ materially from current expectations include the following: risks associated with the continuing weak global economy; risks associated with fluctuations in quarterly operating results due, among other factors, to the size and timing of large customer orders; risks associated with acquisitions, including the recent acquisition of intellectual property from Math Strategies and the acquisition of Panopticon; the volatility of Datawatch’s stock price; limitations on the effectiveness of internal controls; rapid technological change; Datawatch’s dependence on the introduction of new products and possible delays in those introductions; competition in the software industry generally, and in the markets for next generation analytics in particular; Datawatch's dependence on its principal products, proprietary software technology and software licensed from third parties; risks associated with international sales and operations; risks associated with indirect distribution channels and co-marketing arrangements, many of which were only recently established; the adequacy of Datawatch’s sales returns reserve; risks associated with a subscription sales model; Datawatch’s dependence on its ability to hire and retain skilled personnel; disruption or failure of Datawatch’s technology systems that may result from a natural disaster, cyber-attack or other catastrophic event; and uncertainty and additional costs that may result from evolving regulation of corporate governance and public disclosure. Further information on factors that could cause actual results to differ from those anticipated is detailed in various publicly-available documents, which include, but are not limited to, filings made by Datawatch from time to time with the Securities and Exchange Commission, including but not limited to, those appearing in the Company's Annual Report on Form 10-K for the year ended September 30, 2013 and Form 10-Q for the quarter ended December 31, 2013. Any forward-looking statements should be considered in light of those factors.

Investor Contact: E: investor[.]datawatch.com - P: 978-441-2200 x8323

© 2014 Datawatch Corporation. Datawatch and the Datawatch logo are trademarks or registered trademarks of Datawatch Corporation in the United States and/or other countries. All other names are trademarks or registered trademarks of their respective companies.

 
 
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Datawatch to Join CloudantCON 2014 Panel Discussing JSON Capabilities for Enterprise Information Management Applications

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Publisher Contact: Sarah Bernardi - Datawatch.com 
978-441-2200 x8387 Sarah_Bernardi[.]datawatch.com
 
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