New capabilities in ClearStory’s Interactive, Collaborative StoryBoards™ let users augment ClearStory Data analysis with rich media and third-party applications to further enrich insights and eliminate siloed insights
MENLO PARK, CA — June 9, 2015 – ClearStory Data, the company bringing business-oriented Data Intelligence to everyone, will feature its Apache Spark-based data analysis solution at the Spark Summit 2015 in San Francisco to be held June 15 – 17, 2015.
What: Spark Summit 2015: Data Science and Engineering at Scale
Who: ClearStory Data senior executives and Apache Spark technical contributors
When: June 15 – 17, 2015 (See full event schedule here)
Where: The Hilton San Francisco Union Square at 333 O’Farrell Street (Booth #K12)
ClearStory Data started working with Apache Spark in its early days of development at Cal Berkeley’s AMPLab. ClearStory architected its next-generation data analysis solution on Apache Spark to enable scalable, fast-cycle analysis of disparate data and allow line-of-business users and analysts to immediately work with diverse data for richer insights.
To ease and speed disparate data analysis for the business and address the needs of all industry verticals, ClearStory’s Apache Spark-based engine includes built-in data intelligence that significantly reduces the time and effort to access, blend, and analyze diverse data from batch and streaming data sources. ClearStory’s fast-cycle Apache Spark capabilities power ClearStory’s end-user application that delivers a new, innovative user experience focused on simplicity, real-time collaboration and a business-friendly user model.
The company will be demonstrating capabilities for rich media and applications to be augmented into Interactive, Collaborative StoryBoards™, that allow the business to see complete and consistent information to make data-driven decisions. Highlights include:
- Out-of-the-box support for streaming media content
ClearStory Data now provides the ability to easily embed rich, streaming media from content providers in live, collaborative StoryBoards™.
- Third-party application interactivity in StoryBoards™
External application analysis and content can be augmented into StoryBoards™ and are treated as first-class views within ClearStory Data. As a result, a user’s interactive experience and ClearStory’s application capabilities are inherited to provide a fully streamlined, enriched and holistic view of all insights that answer business questions.
- Built-in In-Context Collaboration
Users can interactively collaborate on embedded external content in StoryBoards™, just like they can on native ClearStory Data analyses to deliver speed, consistency and collaborative decision-making. These capabilities all integrate with ClearStory’s Apache Spark-based data processing and analysis engine.
“Our enterprise customers expressed a keen interest in adding rich media and application data alongside ClearStory data analysis to enrich insights and see a complete storyline within Apache Spark-powered StoryBoards™, eliminating past problems caused by siloed, disconnected views,” says Ali Tore, Chief Product Officer at ClearStory Data. “ClearStory’s Apache Spark-based solution and innovative application are reinventing how businesses can work with more data, from more sources to deliver business-consumable insights and make better, faster decisions.”
For more information, please visit www.clearstorydata.com.
About ClearStory Data
ClearStory Data is bringing Data Intelligence to everyone to accelerate the way business leaders get answers from more data, on a faster cycle, across any number of disparate data sources. ClearStory Data’s solution simplifies data access to internal and external sources, automates data harmonization via Intelligent Data Harmonization™ across disparate data, enables fast, collaborative exploration, and reduces business wait times for insights via Interactive, Collaborative StoryBoards™. ClearStory Data lets business users be more self-reliant on reaching richer, faster insights. Its end-to-end solution includes an integrated Apache Spark-based data processing platform and an incredibly simple user application model for business consumption of insights. The company is headquartered in Menlo Park, CA and backed by Andreessen Horowitz, DAG Ventures, Google Ventures, Khosla Ventures and Kleiner Perkins Caufield & Byers (KPCB).