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.

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.  

Big Data architecture in the New Style of IT—Part 4

iStock_000023930618Small.pngIn this fourth part of our series, we ask Greg Battas, CTO of Business Intelligence Solutions for HP Converged Systems to help us understand the trend—and common misconceptions—about Software Defined Storage. Last time, we debunked some mythology around processing and storage. In this post, we get to the heart of the Big Data matter—taking a traditional approach to the storage of unstructured data just isn’t going to work.

 

Read why.

Big Data architecture in the New Style of IT—Part 3

iStock_000023930618Small.pngIn this third part of our series, we ask Greg Battas, CTO of Business Intelligence Solutions for HP Converged Systems to help lay the groundwork in understanding what exactly is involved with Big Data processing. Last time, we discovered some common misconceptions about Hadoop clusters and conventional wisdom. In this post, we learn how moving the processing closer to the data is a critical step in a successful converged system solution.

Big Data architecture in the New Style of IT—Part 2

iStock_000023930618Small.pngIn this second part of our series, we ask Greg Battas, CTO of Business Intelligence Solutions for HP Converged Systems to help us understand the next steps in grappling with Big Data. Last time, we discussed how enterprises are building a series of solutions based on Hadoop clusters that sit alongside Converged Infrastructure solutions. This week, we learn how that might lead to even more Big Data headaches, and explore a possible solution to the problem.

 

Here’s a hint: Look to the past to reinvent the future of your data center.

Big Data architecture in the New Style of IT

iStock_000023930618Small.pngSlaying the Big Data dragon is on everyone’s bucket list. In this New Style of IT, how does your data center keep up with the demands of Big Data? It’s an easy question to ask, but the answer is a bit more complicated than rip and replace. We recently asked Greg Battas, CTO of Business Intelligence Solutions for HP Converged Systems to demystify the Big Data conundrum. Along the way, we learned how cluster consolidation, processing power and software-defined storage are leading the way toward hardware built specifically for Big Data.

 

This is the first in a series of articles related to Big Data. Stay tuned for more from Greg Battas.

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About the Author(s)
  • Technology marketing professional with over 25 years of experience in energy, semiconductor and IT industries.
  • 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
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