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Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Even with a wide array of tools and technologies at their disposal, data scientists are still spending most of the time massaging and manipulating the data into a usable data asset.Data virtualization offers a new alternative to address these issues in a more efficient and agile way. Watch on-demand this session to learn how companies can use data virtualization to:Create a logical architecture to make all enterprise data available for advanced analytics...

Prologis, Inc. is a real estate investment trust headquartered in San Francisco, California that invests in logistics facilities, with a focus on the consumption side of the global supply chain. In this video Luke Slotwinski, VP Data and analytics with Prologis discusses in detail the data virtualization use case.This customer case study video will cover: ­ Prologis's business challenge ­How they used data virtualization to address this business challenge ­What the benefits of data virtualization are in their particular case ­Why they chose the Denodo platform ­How they plan to utilize the...

Prologis manages a wide breadth of real estate assets across the globe, which translates into a staggering amount of data in a variety of languages and stored in a variety of geographically dispersed sources. Every day, Prologis needs to integrate this vast amount of data to operate its business effectively.For more information on how Prologis used the Denodo Platform, visit their customer page

Denodo customer presentation by Luke Slotwinski, VP, Data & Analytics at Prologis.