Discover PerformanceHP Software's community for IT leaders // October 2013
How to combine a cloud push with big data analytics
Cloud and big data are both high priorities for enterprise IT. Here are five ways to make them work together.Piece it together
Your business is your software
See why enterprises are increasingly defined by software—and learn four keys to mastering a new paradigm.Get with the program
Taking the Guess-work out of big data
From Vertica’s first-ever big data conference, Bruce Yen, director of business intelligence at Guess, explains how the company is benefitting from its cutting-edge analytics platform.Better answers
NASCAR’s race to the top
Chief marketing officer Steve Phelps explains how NASCAR’s Fan & Media Engagement Center uses cutting-edge analytics to change how they interact with fans and drive revenue.Watch now
Most read articles
Diving into disruptive technology trends like cloud, mobile, and Big Data, HP’s CEO talks about moving not just IT, but the whole enterprise, into a new era.
Senior executives from HP Vertica and HP Autonomy explain the next steps in really understanding your customers and building a profitable relationship with them.
Dig into strategic trends with our new Discover Performance Weekly video series, and go backstage at events like RSA.
Gigaom and Cerner discuss real examples of how advanced analytics can transform healthcare.
Keep up with the latest innovations in next-generation analytics.
Insights into the power of human information.
Info management index
Percentage of IT leaders who stated they had invested in big data technology, or were planning to do so within a year. 1
Percentage of companies that can analyze data in near-real time (data available within less than five seconds).2
25 trillion gigabytes
Amount of new data expected to be generated between 2013 and 2020.3
2"BARC Big Data Survey 2012/2013," BARC, April 2013
3"Worldwide and Regional Public IT Cloud Services 2013–2017 Forecast," IDC, August 2013
Q: What kind of data can HP HAVEn analyze?
A: HAVEn is a big idea … but basically it’s a platform to cover all of your enterprise data—structured, unstructured, semi-structured. The rather clunky acronym represents each piece of the platform. H: Support for Hadoop, which is—among other things—making big data economically feasible. A: Autonomy IDOL, which derives meaning from “human” or unstructured data. V: Vertica, which crunches so much, so fast that you essentially “TiVo” through the state of your IT operations. E: Enterprise security: Now you’ve got big-data power to analyze the state of your enterprise’s security. N: And then finally n for apps to the nth. HAVEn is open and extensible, so an ecosystem of partners and developers makes it possible to look at your data through various lenses.
—Heather Mackey, Discover Performance Community Manager, on the Discover Performance blog