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paul
Paul Moxon

SVP Data Architecture & Chief Evangelist

Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. Using Data Virtualization allows organizations to create a logical - or virtual data lake - without having to physically copy and centralize all of their data.

Attend this session to learn:

  • The restrictions of physical single purpose data lakes
  • How to build a logical data lake for all users - not just for data scientists
  • The newer use cases that makes logical data lakes a necessity

 

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