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Optimal Data Analytics Architecture

Event Details

Optimal Data Analytics Architecture

Time: January 24, 2017 from 9am to 10am
Location: Online
Website or Map: http://bit.ly/2jbpeJD
Event Type: dsc, webinar
Organized By: Bill Vorhies, Editorial Director -- Data Science Central
Latest Activity: Jan 6

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Event Description

Space is limited.

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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 

Speakers:

Mike Gualtieri --VP Principal Analyst -- Forrester  
Steve Sarsfield -- Product Evangelist and Spokesperson -- HPE Vertica   

Hosted by: 
Bill VorhiesEditorial Director -- Data Science Central




Again, Space is limited so please register early:

Reserve your Webinar seat now

 

After registering you will receive a confirmation email containing information about joining the Webinar.

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