Big Data has a big impact over multiple industries and HP Vertica is there to support them all. We have recently posted two new case studies and the enterprises couldn't be more different. One case study is from the fashion company Guess? and the other is from consulting and professional services firm Kansys.

Keep reading to find out how these companies used Big Data as a competitive differentiator instead of a debilitator.

 Written by Chuck Smith, Customer Marketing Manager, HP Vertica

Pattern mining can help analysts discover hidden structures in data. Pattern mining has many applications—from retail and marketing to security management.

How can you utilize pattern mining? Will it allow you to better understand your customers and anticipate their needs?

Continue reading to find out how to make the most of the power within pattern mining.

Guest post by by Kyungyong Lee, Indrajit Roy, and Vanish Talwar

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

New analytics deployments can be complex, taking up to 18 months to implement and optimize. The complexity of maintaining and integrating these environments often results in missed deadlines, incomplete projects, increased costs, and lost opportunities. In fact, only 32 percent* of application deployments are rated as “’successful”’ by organizations.

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

Aside from the sheer quantity of digital data created every day—about 2.5 exabytes1 —there’s more to Big Data than volume. Big Data offers enterprise leaders the opportunity to dramatically change the way their organizations operate to gain competitive advantage and find new revenue opportunities. But realizing the value Big Data promises requires a new approach. Traditional data warehouses and business intelligence tools weren’t built for the scale of Big Data, and can’t provide insight quickly enough to be useful or even keep up.

Keep reading to find out what will happen if Big Data is let out of its cage...

Guest post by Chris Selland, VP Marketing HP Vertica

The 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

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

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.

HP’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

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

By Jeff Healey, Director of Product Marketing at Vertica Systems

Do you know how many devices you own that are connected to the Internet? Of course you are thinking of the biggies- Computers, gaming systems, possibly your home phone- but what about your other devices? You know the smaller ones- digital photo frames, home audio and televisions. Make sure you count those too.

Now, think of devices that you don't own, but that still track information about you. These are the devices in the public realm. And they are all collecting data.

Continue reading to learn how to unlock the potential of all of this data.

Image courtesy of: http://cdn.ttgtmedia.com

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

According to CIO Magazine, by 2018 the US will be facing a massive shortage of analytics talent.  What will this shortage mean to you?

GameStop 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.

by Brad Nelson on November 19th, 2012 • in big data

HP Vertica sponsored this year’s Defrag Conference, so I had the opportunity to attend the event in Broomfield, CO. It’s close to the startup community in Boulder and right in my backyard. It was a great conference with an intimate setting.

by Jeff Healey 

With the release of HP Vertica v6, we introduced a no-charge download of a new package that incorporates R, one of the most popular open-source data mining and statistics software offerings on the market today.

by cmahony on October 19th, 2012 

“Big Data” is already having and will continue to have the most impact in products and services where there

is an ability to capture information about usage, experience and behavior in a manner that is accepted, yet not disruptive by the consumer of that product or service.  Data warehousing has been around for a long time with regards to retail transactions and purchasing behavior, but usage and experience measurement hasn’t had the same repository equivalent.  It now does, and I believe this will lead to an exponential jump in the quality and variety of products and services that are delivered to consumers.

by csmith on October 2nd, 2012 • in big data, Vertica Customers

Cardlytics is the pioneer and leader of the cutting edge field of Transaction-Driven MarketingTM, expected to grow into a multi-billion industry in the US over the next four years (according to the Aite Group). In this short video, Jon Wren, Director of Data Innovation for Cardlytics, discusses how Cardlytics uses HP Vertica to enable better personalization for the ads they serve to online banking customers.

by cbear on September 19th, 2012 • in big data, SQL

Let’s start with an easy question.  What’s “Big Data”?  Fortunately, I read the answer to that in one of my favorite tech news sources just the other day: http://www.theregister.co.uk/2012/08/27/how_did_big_data_get_so_big/.  The answer, for those who won’t bother with the link, is “Big data is any data that doesn’t fit well into tables and that generally responds poorly to manipulation by SQL” … “A Twitter feed is Big Data; the census isn’t. Images, graphical traces, Call Detail Records (CDRs) from telecoms companies, web logs, social data, RFID output can all be Big Data. Lists of your employees, customers, products are not.”

By Phil Nguyen, HP Software Community Director

As the volume of structured data continue to explode, organizations need to find ways to manage data that systematically minimises their database footprint. A new podcast by HP Storage Guy Calvin Zito tells listeners about new software from HP Autonomy that makes it easier to manage the overall data lifecycle.

by ntran and alamb on September 17th, 2012 

At the VLDB 2012 conference a few weeks ago, we had a chance to listen to Jiri Schindler giving a tutorial about NoSQL.  His interesting and informative presentation covered the fundamental architecture and I/O usage patterns of RDBMS systems and various NoSQL data management systems, such as HBase, Cassandra, and MongoDB.

by Chris Selland on September 14th, 2012

It was my distinct pleasure this week to participate in a joint customer roundtable at the Cira Center in Philadelphia, co-sponsored by HP Vertica and our partner Tableau Software, and featuring a number of our respective and joint customers speaking out on topics related to Big Data.

by Ben Vandiver on September 13th, 2012 

In this post, I attempt to relate Vertica distributed system properties to the well known CAP theorem and provide a fault tolerance comparison with the well known HDFS block storage mechanism.

When you don't know what your data is, you're forced to treat all data equally, which is not only inefficient and expensive, but inherently risky. Information governance can significantly reduce the cost of maintaining information, no matter how much it grows or diversifies. Learn the five practical benefits of information governance before your data gets any bigger.

Storing information indefinitely is a fundamentally bad idea with adverse consequences. Knowing when to retire information can play a huge role in lowering costs and improving performance. The key is having a holistic strategy for information governance–managing, retaining and disposing of information when it is no longer needed.

Traditional software deduplication solutions can dramatically impact application performance, which limits their use in enterprise environments. HP Data Protector, powered by the lightweight and efficient HP StoreOnce engine, delivers enterprise-class software deduplication and lays a foundation for the Deduplication 2.0 revolution.

By Noel Rath, WW Product Marketing Manager for HP TRIM software

Nuclear power is not a problem if you have control systems in place. Big data and the information explosion is not a problem... if you have control systems in place.

By June Manley

June Manley is the worldwide product marketing director responsible for HP’s  Information Management (IM) portfolio of software and services that help organizations manage their information governance needs.

Trends such as context-aware computing, pattern-based strategy and information sharing ecosystems are helping to monetize the value of Big Data and social media.

In order to fulfill the different needs for the various Microsoft SharePoint farm setups HP is providing two backup and restore solutions to protect you SharePoint 2010 data. These solutions are:

• Data Protector SharePoint VSS based solution and;
• Data Protector SharePoint 2007/2010 Integration