Discover PerformanceHP Software's community for IT leaders // July 2014
Big Data insight
No limits: How Big Data changes competition
Data drives the bottom line, and technology is no longer limiting your competitors.Read more
Big Data in 2020: Making the patterns emerge
In the next decade, predictive monitoring will be powerful and intuitive. That’s our prediction—and HP Labs’ goal.Read more
What can NASA teach us about Big Data?
Kim Arcand, a NASA data visualization expert, shares the value of metadata in visuals, and what science can teach the boardroom about Big Data analytics, in this episode of Discover Performance Weekly.Watch now
Most read articles
Welcome to a new reality of split-second decisions and marketing by the numbers.
Looking toward the era when everyone — and everything — is connected.
Introduction to Enterprise 20/20
What will a successful enterprise look like in the future?
Challenges and opportunities for the CIO of the future.
Dev Center 20/20
How will we organize development centers for the apps that will power our enterprises?
IT Operations 20/20
How can you achieve the data center of the future?
What the workforce of 2020 can expect from IT, and what IT can expect from the workforce.
Preparing today for tomorrow’s threats.
Data Center 20/20
The innovation and revenue engine of the enterprise.
At this HP Autonomy event, business and IT leaders will discuss changes in technologies and in how we interact with customers. Phoenix, Sept. 21–23.
To understand, engage, and convert your best customers, you need to leverage and integrate all the data at hand from search, social, and mobile.
HP Software’s Paul Muller hosts a weekly video digging into the hottest IT issues. Check out the latest episode.
Meg and HP Software EVP Robert Youngjohns discuss how businesses can tap into big trends and HP innovation to deliver amazing applications that excite and engage audiences. (Oct. 1)
Q: What role does Big Data play in DevOps and IT service delivery?
A: The lofty goals of agility fall flat on their faces because production will often take a long time to put the new application (“yet another version of the application”) onto their run-time systems. Which is why there is so much interest in DevOps—the linking of development and operations using automation, sharing of applications models, and even organizational alignment between development and operations. What Big Data allows us to do is to take agility and DevOps one stage further and “close the loop” from release of a product to starting to work on the next version.