Information Faster Blog

Vertica on MapR SQL-on-Hadoop - join us in June!

Join us online on June 3 - or live at HP Discover on June 11 - to learn more about the HP Vertica MapR high-performance, tightly-integrated SQL-on-Hadoop solution.

 

And download the the MapR Sandbox for Hadoop - specially tuned for the HP Vertica Analytics Platform - from the HP Vertica Marketplace.

Enhancing Big Data Analytics with the HP Vertica Marketplace

HP Vertica Marketplace.jpgAt the O’Reilly Strata Conference, we demonstrated the just-announced HP Vertica Marketplace, an online destination for developers, HP Vertica users, and technology partners to create and share innovative big data analytics solutions built for the HP Vertica Analytics Platform.

 

Keep reading to find out what this announcement means for you.

Labels: Big Data| Vertica

Welcoming Facebook to the growing family of HP Vertica customers!

FacebookDiscover-1024x576.jpgThis week at HP Discover Barcelona, we were thrilled to welcome one of our newest Vertica customers – Tim Campos, CIO of Facebook, during George Kadifa’s keynote.

 

Facebook selected the HP Vertica Analytics Platform as one component of its big data infrastructure.  Vertica’s value to Facebook can be found in its ability to provide business insights with incredible speed and flexibility. HP Vertica supports Facebook’s business analysts and helps the company be more productive through dramatically reduced query time. It is also valuable for providing accurate forecasting and aiding data driven decisions.

 

Guest post by Chris Selland, VP Marketing HP Vertica

Labels: Big Data| Vertica

HP Vertica in private cloud deployments-- how does it work?

Private_Cloud3.pngWhat is the role of Big Data in cloud deployments?  Is a private cloud deployment a viable option for a Big Data implementation? What are the impacts that Big Data will have on the deployment, maintenance and performance of the system?

 

Continue reading to find out how Big Data and cloud deployments work effectively together.

 

Guest post by John Margaglione, Vice President of Systems Engineering at HP Vertica

Six degrees of Big Data

BigData.jpgWhen you think Big Data you most certainly don’t think about acclaimed actor Kevin Bacon (most famous for the game six degrees of Kevin Bacon), but maybe you should. Bacon introduced Meg Whitman's HP Discover 2013 keynote adress.

 

Keep reading to find out the big news about Big Data that Whitman announced.

 

Guest blog post by Dennis Ludvino,

Senior Digital Marketing, HP Vertica

Labels: Autonomy| Vertica

Taking a Moonshot at Big Data analytics for everyone

HP's Moonshot is exciting news. From our point of view here at HP Vertica it offers customers the avility to rapidly deply, scale and manage specialized workloads with lower space and energy contrastraints.

 

Keep reading to find out what Moonshot means for you.

 

Guest post by Chris Selland, VP Marketing HP Vertica

Labels: HP Moonshot| Vertica

A Method to the March Madness?

ScreenShot001-1024x614.jpgThe NCAA 2013 Men’s Basketball March Madness Tournament officially tiped off on Thursday, March 21st.  For those of you unfamiliar with the tournament, 64 teams from colleges and universities across the United States compete for the championship, awarded to just one winner in early April. Buzzer-beating upsets are as common as fan face paint and schools from parts unknown, making it challenging to choose the winner in your office tournament bracket.

To give you a sense of the tournament’s popularity and appeal, according to USA Today “Last year’s championship game alone had about 20 million TV viewers. The overall tournament had 52 million visits across March Madness on Demand’s broadband and mobile platforms.”

 

Guest Post by Jeff Healey, Director of Product Marketing at Vertica Systems

No, You Do Not Need One Projection Per Query in Vertica

Projections are powerful.

 

Projections are the Vertica Analytic Databases’s only data structure. Every row from every table stored in Vertica is stored in a projection.

 

Continue reading to find out why there is no such thing as a query which “does not hit the projections.”

 

Guest post by Andrew Lamb, Vertica Senior Engineer

Distributed R for Big Data

Data scientists use sophisticated algorithms to obtain insights. However, what usually takes tens of lines of MATLAB or R code is now been rewritten in Hadoop like systems and applied at scale in the industry. Instead of rewriting algorithms in a new model, can we stretch the limits of R and reuse it for analyzing Big Data? We present our early experiences at HP Labs as we attempt to answer this question.

distributed-r-fig1.png

HP Vertica helps secure HP’s IT infrastructure

HPCyberSecurity-232x300.pngHP’s online security strategy is designed to protect its infrastructure from hackers, fraud, and malware. The cyber security model includes prevention, detection, and response, and incorporates a number of key HP solutions from the HP IT Performance Suite — Security Intelligence and Risk Management portfolio. These HP solutions help HP’s security professionals respond more quickly and efficiently to events — despite the complexity of HP’s IT infrastructure.

 

Written by Chuck Smith, Customer Marketing Manager, HP Vertica

Startup Rink

 

What does being a software developer have to do with building a home ice skating rink?

Continue reading to find out how perserverance and dumb luck are sometimes all you need for a successful project.

 

 

Written by Stephen Walkauskas, Vertica Systems software developer

 

Top 4 Considerations When Evaluating a Data Analytics Platform

HP vertica.jpgFrom fraud detection to clickstream analytics to simply building better products or delivering a more optimal customer experience, Big Data use cases are abounding with analytics at the core.
 
By Jeff Healey, Director of Product Marketing at Vertica Systems

A Deeper Dive on Vertica & R

 

The R programming language is quickly gaining popularity among data scientists to perform statistical analyses. It is extensible and has a large community of users, many of whom contribute packages to extend its capabilities. However, it is single-threaded and limited by the amount of RAM on the machine it is running on, which makes it challenging to run R programs on big data. Continue reading to find out more about the impacts of the R programming language.

 

by Lakshmikant Shrinivas, Pratibha Rana, and Mark Warner

GameStop CIO: Hadoop Isn’t For Everyone

games top logo.jpgGameStop Corp. is the world’s largest multichannel video game retailer, with a retail network and family of brands that includes 6,650 company-operated stores in 15 countries worldwide and online at www.GameStop.com.

 

Continue reading to find out how HP Vertica helped GameStop with their big data dilemma.

Tags: Game Stop| SQL
Labels: Big Data| Hadoop| HP| Vertica
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About the Author(s)
  • This account is for guest bloggers. The blog post will identify the blogger.
  • For years I've been doing video and music production back and forth between Boston MA and New Orleans LA. Starting in 2010, I've began working with Vertica (now HP Vertica) in the marketing team, doing customer testimonials, product release videos, and website management. I'm fascinated by Big Data and the amazing things my badass team at HP Vertica has done and continues to do in the industry every day.
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