Optimal Data Analytics Architecture (Webinar)

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Optimal Data Analytics Architecture (Webinar)

Post by JimKnicely » Tue Jan 10, 2017 10:51 pm

Title: Optimal Data Analytics Architecture
Date: Tuesday, January 24, 2017
Time: 09:00 AM Pacific Standard Time
Duration: 1 hour


Summary

An explosion of Big Data is rapidly changing the IT landscape. While Big Data generates vast opportunities for new sources of revenue, customer insights and operational efficiencies, it also creates new challenges for existing data infrastructure. To keep up with this explosion and capitalize on new data-driven business opportunities, enterprises must select a data analytics architecture that fits the specific needs of their business and the structure of their data.

Join us for our latest Data Science Central Webinar with guest speakers Mike Gualtieri, VP and Principal Analyst at Forrester, and Steve Sarsfield, product evangelist and spokesperson for HPE Vertica, while they discuss a newly commissioned study on enterprises that select the correct mix of analytical engines and the best database for each job. They will review:
  • How a diversity of analytical engines can drive greater ROI
  • Which databases have distinct capabilities and “sweet spots”
  • Why no one database can do it all
Register here:
https://event.on24.com/eventRegistratio ... e=register
Jim Knicely

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Note: I work for Vertica. My views, opinions, and thoughts expressed here do not represent those of my employer.

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