SOURCE: ClearStory Data

ClearStory Data

June 09, 2015 11:00 ET

ClearStory Data to Be Featured at IBM's Apache Spark Community Event During Spark Summit 2015 in San Francisco

CTO Dr. Timothy Howes Is Featured Speaker at IBM's Apache Spark Community Lightning Talk

MENLO PARK, CA and SAN FRANCISCO, CA--(Marketwired - Jun 9, 2015) -   ClearStory Data, the company bringing business-oriented Data Intelligence to everyone, will be participating in IBM's Apache Spark Community Event and will be a featured exhibitor and speaker at Galvanize in San Francisco. This event will be held on the opening night of Spark Summit 2015 on Monday, June 15, 2015 from 6:00 PM - 8:45 PM PDT.

The event, titled The Start of Something Big in Data and Design, will feature Dr. Timothy Howes, CTO of ClearStory Data, as one of the five-minute Lightning Talks' speakers on the topic of Fast-cycle, Spark-based Analytics for the Business beginning at 8:00 PM PDT.

What: The Start of Something Big in Data and Design, an IBM-sponsored Apache Spark Community event: innovator demos, panel and talks
Who: Dr. Timothy Howes, CTO, ClearStory Data (plus data scientist panel, other speakers)
When: June 15, 2015 - 6:00 PM to 8:45 PM PDT
Where: Galvanize, 44 Tehama Street, San Francisco
Register here. Sign up for event live stream here. Twitter: #SparkInsight

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 Spark to enable scalable, fast-cycle analysis of disparate data to allow line-of-business users and analysts to immediately work with diverse data for richer insights.

"Prior to ClearStory Data's Spark-based solution, customers struggled with an explosion of data variety and volume, as well as the speed with which they could generate insights," says Dr. Timothy Howes, CTO at ClearStory Data. "ClearStory's Spark-based engine generates insights faster, and its user-friendly, collaborative UI makes those insights accessible to business users. We believe data is every organization's key asset and should be accessible to everyone making key business decisions."

To ease and speed disparate data analysis for the business and address the needs of all industry verticals, ClearStory Data's 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 Spark capabilities power ClearStory's end-user application that delivers a new, innovative user experience focused on simplicity, collaboration and a business-friendly user model.

ClearStory Data is a silver sponsor at Spark Summit 2015 in San Francisco to be held June 15 - 17 at The Hilton San Francisco Union Square at 333 O'Farrell Street (Booth #K12). During the event, ClearStory will demonstrate new capabilities for rich media and applications to be augmented into Interactive, Collaborative StoryBoards™ that allow the business to see complete, consistent information and collectively make better, data-driven decisions.

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 time for insights via Interactive, Collaborative StoryBoards™. ClearStory Data lets business users be more self-reliant in reaching richer, faster insights. Its end-to-end solution includes an integrated 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).

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