SAN CARLOS, Calif. — October 31, 2011 — MarkLogic Corporation, the company empowering organizations to make high stakes decisions on Big Data in real time, today announced that Chris Biow, CTO, MarkLogic Public Sector, will be part of a panel discussion on Big Data analytics at the TDWI Big Data Analytics For Business Insight Forum. The conference is scheduled for Monday, October 31, and Tuesday, November 1, with the panel taking place on November 1 at 10:15 a.m. (ET). The panel is titled “Finding the Right Big Data Analytics Solution for Your Company” and will be moderated by David Stodder, Director of Research for Business Intelligence, The Data Warehousing Institute (TDWI). For more information or to register for the summit, please visit the summit website.
In addition to MarkLogic, the panel will include participants from ParAccel, Sybase – an SAP Company, and Teradata. The session will discuss technology options for Big Data Analytics requirements and where future technology development is headed. Panelists will specifically address how to align technology with business requirements for Big Data Analytics.
“Big Data is having a major impact on the types of applications that organizations can use to make better business decisions,” said Ken Bado, CEO, MarkLogic. “Building these new applications requires technologists to think outside of the box, beyond traditional relational based systems. While there are many science projects going on trying to address this issue, MarkLogic is enabling real organizations to make real time decisions with mission critical applications and has been for nearly a decade. By taking advantage of the complexity in Big Data, not just the volume, those organizations are creating a competitive advantage and outrunning their competition.”
For more information on the panel, please visit the TDWI Big Data Analytics for Business Insight Forum website. For more information on MarkLogic, please visit the MarkLogic website.
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.