Data Virtualization Fast Data Strategy Virtual Summit
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The upcoming Fast Data Strategy Summit that Denodo will host on 3/30 is an exciting event that will review many of today’s hot topics in the data integration industry. The talks will cover many areas, and as a speaker at the event I will be in charge of delivering two sessions:

  • The “Data Virtualization in the Cloud” talk is very exciting for me as I will introduce our new product in the Denodo Platform family: Denodo Platform for AWS. It will review the current data virtualization landscape, the new cloud deployment options that are being introduced with the Denodo Platform 6.0 and some examples of when it will be useful to deploy Denodo in the cloud. With this new addition to our product range we expand our offering across the board and enable more companies to enjoy the benefits of data virtualization. Watch my session: Data Virtualization in the Cloud: Accelerating Data Virtualization Adoption.
  • “Correctly Architecting your Solutions for Analytical & Operational Uses” reviews the two main types of use cases that our customers solve with the Denodo Platform. These are both common use cases that all companies have to face in their day to day operations, and they have inherent characteristics that companies dealing with them need to be aware of. Both high concurrency scenarios and big reporting use cases will be discussed in a comparative way, explaining the different approaches that you must take to be successful in any situation. Watch my session: Data Virtualization Reference Architectures: Correctly Architecting your Solutions for Analytical & Operational Uses.

I am eager to meet you all at these two sessions, and of course encourage you to join fo the full summit to enjoy our unparalleled roster of speakers. If you want to learn more about how Fast Data Strategy helps boost your organization, register to the world’s first Fast Data Strategy Virtual Summit where you will find 20+ sessions about accelerating your Fast Data Strategy for BI, Cloud and Big Data.

Alberto Bengoa
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