Overview
Title: Optimal Data Analytics Architecture
Date: Tuesday, January 24, 2017
Time: 09:00 AM Pacific Standard Time
Duration: 1 hour
Summary
Optimal Data Analytics Architecture
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 capitalise 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
Steve Sarsfield -- Product Evangelist and Spokesperson -- HPE Vertica
Hosted by:
Bill Vorhies, Editorial Director -- Data Science Central
Register here
No comments:
Post a Comment
Note: only a member of this blog may post a comment.