Arcadia Data and Ventana Research Discuss Making Better Choices for BI on Data Lakes During Upcoming Webinar

By Arcadia Data | November 30, 2017

SAN MATEO, Calif. — November 30, 2017 — Arcadia Data, provider of the first native visual analytics software for big data, today announced it will co-present, along with Ventana Research, a webinar on December 7, 2017. The webinar, “Self-Service Data Lakes for Business Analysts” will begin at 11:00 a.m. PST, and will tackle how today’s organizations can provide better choices to business analysts for BI on data lakes. Registration for the webinar is available here.

The idea of a data lake as a shared enterprise resource for supporting insights across multiple lines of business has gained momentum as organizations continue to use more data sources to gain a competitive edge. Organizations are capturing their data in a data lake built on a technology like Hadoop, but many are still not taking full advantage of the power of the data lake. Like with any big data tool, the key to success is set in the company’s ability to correctly implement the technology. In fact, a crucial but sometimes underemphasized step in gaining traction with data lakes is to provide secure, self-service BI and visual analytics for end users to get the insights they need.

What: An informative, complimentary webinar that will review how to provide analytics on the data lake by weighing the pros and cons of traditional BI tools vs. “data native” modern BI tools.

Who: The webinar will be jointly presented by Shant Hovsepian, co-founder and CTO at Arcadia Data and David Menninger, SVP & research director of data and analytics research, at Ventana Research.

When: Thursday Dec. 7, 2017, 11:00 a.m. PST.

Where: Register for the webinar here.

Learn more about Arcadia Enterprise, or find out how Arcadia Data can help you maximize the full potential of your data lake, by visiting  

About Arcadia Data

Arcadia Data provides the first native visual analytics software that runs within modern data platforms for the scale, flexibility, performance and security users need to glean meaningful and real-time business insights and design data-centric applications in the era of big data and IoT. Arcadia Enterprise is purpose-built to analyze large volumes of data without moving it, filling the gap between self-service BI and advanced analytics for use cases like cyber security, connected devices, and customer intelligence. The Arcadia Data platform is deployed by some of the world’s leading brands, including Procter & Gamble, HPE, Royal Bank of Canada, Kaiser Permanente and Neustar. To learn more, visit

Follow Arcadia Data at @ArcadiaData.

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