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Business Data Lake: An Evolution in Data Infrastructure

Moderated by:
Jeffrey Kelly (The Wikibon Project)
Ballroom G
Average rating: ***..
(3.60, 5 ratings)

Panel Participants:

Steve Hirsch, Chief Data Officer at NYSE

Steve Jones, Group Director Pivotal at Capgemini

Sabrina Dahlgren, Director of Management Information & Analysis at Kaiser Permanente

Organizations are now moving beyond rigid and high latency data warehouse environments to more flexible and cost-effective “Data Lake(s)”: centrally managed repository using low cost technologies such as Hadoop, SQL, In-Memory, and others to land any and all data that might potentially be valuable for analysis and operationalizing that insight.

What sets a Data Lake apart from legacy data warehousing architecture is it’s accessible, secure and intelligent management capabilities. Data scientists and analysts can traverse through the data, and move, transform and create analytical sandboxes on-demand to determine the “integration value” of the information that lives in the data. Analysts can therefore in-act consumption to answer complex questions, as the business requires, organizing and shifting through the chunks of data on-demand to provide answers. And IT achieves speed, cost reduction, and increased security while providing on-demand data for analytics.

Panelists will speak to the new Data Lake approach in their own organizations and the benefits gained from IT to the Business.

This session is sponsored by Pivotal

Photo of Jeffrey Kelly

Jeffrey Kelly

Principal Research Contributor, The Wikibon Project

Jeffrey F. Kelly is a Principal Research Contributor at The Wikibon Project, an open source research and advisory firm based in Boston. His research focus is the business impact of Big Data and the emerging Data Economy. Mr. Kelly’s research has been quoted and referenced by the Wall Street Journal, the Financial Times, Forbes,, IDG News, TechTarget and more. Reach him by email at or Twitter at @jeffreyfkelly.