Rethink BI : Business Insights over Business Intelligence
The purpose of this business insights thought leadership blog is to share the HP point of view on industry trends such as Big Data and Real Time Analytics, and provide updates on key innovations and solutions.

HP’s Big Data story – hear it at HP Discover 2013 Barcelona

Legacy data warehouses are having a difficult time keeping up with Big Data demands. Catch the news and learn about HP's Big Data story at HP Discover.  

A HAVEn refresher, and HP Discover preview

Enterprise IT systems are like snowflakes—every system is unique. So it stands to reason that no two discover13_LithiumCommunities_banner_205x150.pngBig Data solution is the same. That’s why, earlier this year, HP introduced HAVEn, a platform approach to combining collaborative hardware and software solutions to provide the best Big Data experience possible.

 

We asked Manoj Suvarna, Director of Product Management and Steve Tramack, the Director of Engineering for HP Converged Systems for a HAVEn refresher, and some practical examples of implementation.

Four key considerations for keeping up with Big Data overload

Checklist1.jpgDespite the numerous offerings introduced this past year, Enterprise IT is still struggling with efforts to control Big Data. For a glimpse into how HP views Big Data, read what Manoj Suvarna, Director of Product Management for HP Converged Systems has to say. 

How HP is addressing the Big Data challenge

iStock_000004311434XSmall.jpgAsk any number of IT managers what keeps them up at night, and you’ll probably get a singular answer: Big Data. For a better understanding of how HP is working to allow a restful night’s sleep, we asked Manoj Suvarna, Director of Product Management for HP Converged Systems what he is seeing in the marketplace and what HP is doing to address Big Data.

Big Data architecture in the New Style of IT—Part 5

iStock_000023930618Small.pngThis is the final post in our series with Greg Battas, CTO of Business Intelligence Solutions for HP Converged Systems. Last time, we debunked some mythology around Software Defined Storage. In this post, we conclude with salient reasons why hardware designed specifically for Big Data is an efficient, cost-effective solution.  

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About the Author(s)
  • Technology marketing professional with over 25 years of experience in energy, semiconductor and IT industries.
  • hp.com/go/convergedsystems
  • Jeff Spiller has over 30 years experience in architecting highly available and scalable multi-tier platforms for a variety of Fortune 500 companies. He is currently HP’s technical lead for the Enterprise Data Warehouse (EDW) Appliance, optimized for Microsoft Parallel Data Warehouse (PDW) software. As a member of HP's ESS Performance and Solutions Engineering COE (Center of Excellence), Jeff has a proven track record for designing, tuning and performing capacity planning in OLAP, ROLAP, OLTP and consolidated environments.
  • Focused on cloud, virtualization and appliance solutions for HP technology.
  • HP Servers, Converged Infrastructure, Converged Systems and ExpertOne