Integrate data silos and speed-up data prep
Understanding the uses and benefits of an operational data hub
Date: This event took place live on June 27 2017
Presented by: Ken Krupa
Duration: Approximately 60 minutes.
Questions? Please send email to
Watch the webcast in its original format.Sign in to Register
Integrating data silos using traditional databases and tools is a painfully slow and expensive process. What's worse—relational integration literally keeps the value of the data hidden.
An operational data hub (ODH) built on a multi-model database can integrate data from multiple sources, in multiple formats, far faster. Because of its ability to handle real time data plus analytic data, an ODH becomes an essential pattern to transform data into valuable assets.
In this webcast MarkLogic CTO Ken Krupa will discuss how an operational data hub functions and leverages multiple models. You will learn:
About Ken Krupa, Enterprise CTO at MarkLogic
With 27 years of professional IT experience, Ken Krupa has a unique breadth and depth of expertise within nearly all aspects of Information Technology. Prior to joining MarkLogic, Ken worked at and consulted for some of the largest Global Financial institutions during difficult economic times, delivering technology solutions and advising senior and C-level executives on technology strategy. Prior to that, he worked with Sun Microsystems as a direct partner, supporting revenue growth for Sun within the Financial Services sector. Ken also served as Chief Architect of GFI Group, a Wall St. inter-dealer brokerage, for four years leading up to the company's IPO.
In his role at MarkLogic, Ken leads a team of industry-aligned and regional CTOs who are responsible for leading MarkLogic's growth strategies within specific industry verticals. Although his work primarily involves high-level technology strategy, Ken remains active with technology in a hands-on way. Today Ken continues to pursue both individual and community-based technology activities. Current intellectual pursuits include community science as well as the study of applying purely declarative, rules-based logic frameworks to complex business and IT problems.