Cisco: Big Data Is the Network, Too. Photo John Chambers says the profits from Cisco Systems’ new strategy are still one to three years away. The strategy, however, is already becoming more clear: Big Data will only work if it’s delivered through the network, and that could go hand-in-hand with consolidation among companies that specialize in data analysis and networking or traditional computing.
“You can’t ship the information from 50 billion devices all the way up the line,” said Mr. Chambers, Cisco’s chief executive, in an interview last week. That means that increasingly sophisticated computing has to be built into networking devices. This is, of course, an argument that plays to Cisco’s strengths. The company’s Unified Computing System, or UCS, of computer servers built into the network has in a relatively quick time become an important part of Cisco’s revenue.
Because of this trend, “We have the opportunity to be the top technology partner” for the corporate world,” Mr. Mr. The PeerIndex #BigData100 Announced! - Saul Sherry. A paradigm shift in healthcare: Leveraging big data. By Kent Bottles The term "paradigm shift" is bandied about far too often in books and articles about healthcare.
Thomas Kuhn in his classic book "The Structure of Scientific Revolutions" coined the term to describe a change in the basic assumptions within the rules of science. Kuhn and his paradigm shift came to mind recently after I finished two books that truly stunned me: "Automate This: How Algorithms Came to Rule Our World" by Christopher Steiner (2012) and "Big Data: A Revolution That Will Transform How We Live, Work, and Think" by Viktor Mayer-Schonberger and Kenneth Cukier (2013). As a practicing pathologist and medical school professor, the paradigm I followed for years was to generate hypotheses that would affect treatment, prognosis and classification of diseases.
[More:] These two books convincingly make the claim that big data and algorithms turn my beloved paradigm on its head. As Mayer-Schonberger and Cukier put it, "Big data is about what, not why. " The big-data revolution in US health care: Accelerating value and innovation. A big-data revolution is under way in health care. Start with the vastly increased supply of information. Over the last decade, pharmaceutical companies have been aggregating years of research and development data into medical databases, while payors and providers have digitized their patient records. Meanwhile, the US federal government and other public stakeholders have been opening their vast stores of health-care knowledge, including data from clinical trials and information on patients covered under public insurance programs.
In parallel, recent technical advances have made it easier to collect and analyze information from multiple sources—a major benefit in health care, since data for a single patient may come from various payors, hospitals, laboratories, and physician offices. Video Data analytics: Changing the practice of medicine Nicolaus Henke, McKinsey director Play video Fiscal concerns, perhaps more than any other factor, are driving the demand for big-data applications. Says Big Data Will Drive $28 Billion of IT Spending in 2012. STAMFORD, Conn., October 17, 2012 View All Press Releases Analysts to Examine Key Issues Around Big Data at Gartner Symposium/ITxpo 2012 Big data will drive $28 billion of worldwide IT spending in 2012, according to Gartner, Inc. In 2013, big data is forecast to drive $34 billion of IT spending. Most of the current spending is used in adapting traditional solutions to the big data demands — machine data, social data, widely varied data, unpredictable velocity, and so on — and only $4.3 billion in software sales will be driven directly by demands for new big data functionality in 2012.
Big data currently has the most significant impact in social network analysis and content analytics with 45 percent of new spending each year. "Despite the hype, big data is not a distinct, stand-alone market, it but represents an industrywide market force which must be addressed in products, practices and solution delivery," said Mark Beyer, research vice president at Gartner. Contacts About Gartner.
INTERVIEW-Cloudera seeks CFO as Big Data firms gear up for IPOs. Wed Aug 22, 2012 7:27pm IST * To hire CFO this year and nearly double workforce by 2013 * Says has no IPO plans yet; but investors watching * Cloudera may be acquired before it goes public - Gartner analyst By Sayantani Ghosh Aug 22 (Reuters) - Cloudera, a privately held data analytics company targeting the fast growing market for crunching huge volume of data, is looking to hire a chief financial officer as it edges closer to an IPO. The company plays down the prospect, saying it isn't thinking about an initial public offering just yet and has not retained an IPO adviser, but investors say the "Big Data" business is attractive and expect such firms to feature in upcoming listings.
"We are not really thinking about (an IPO) right now. "But its something that we hope to do, we expect to do in the future. " Along with plans to have a CFO in place before the end of the year, the company was hiring aggressively. "With Hadoop you don't ask a particular question. (C) Reuters 2012. Big Data is Hot. Now What? Becoming Red Hat: Cloudera and Hortonworks' Big-Data death match. High performance access to file storage Open ... and Shut In the Big Data market, Hadoop is clearly the team to beat.
What is less clear is which of the Hadoop vendors will claim the spoils of that victory. Because open source tends to be winner-take-all, we are almost certainly going to see a "Red Hat" of Hadoop, with the second place vendor left to clean up the crumbs. As ever with open source, this means the Hadoop market ultimately comes down to a race for community support because, as Redmonk analyst Stephen O'Grady argues, the biggest community wins. In community and other areas, Linux is a great analogue for Hadoop. Yes, there will be truckloads of cash earned by EMC, IBM and others who use Hadoop as a complement to drive the sale of proprietary hardware and software, just as we have in the Linux market with IBM, Oracle, Hewlett-Packard and others. Cash kings Cloudera and Hortonworks recognise this, which is why both have raised mountains of cash.
Why did Red Hat win? 5 OSS up-and-comers to watch. Red Hat has blazed a path for all open source software (OSS) companies to follow after it raked in US$1.13 billion in the fiscal year of 2012--making it the first pure-play open source company to hit the billion dollar revenue milestone. Jeffrey Hammond, principal analyst at Forrester Research, said the company has proven it can go toe-to-toe with the enterprise market's big boys by signing customers up to use its OSS products for mission-critical processes. With Red Hat's example in mind, ZDNet Asia spoke to industry watchers to find out which other OSS vendors could potentially take after the industry trailblazer, in terms of monetizing their products or being in position to meet present and future business needs.
Black Duck Software Hammond said Black Duck Software, a provider of strategy, products, and services for enabling enterprise-scale adoption of open source software, is a company that proves one can build commercial products using open source tools. Businesses 'Freak Out' Over Big Data - Services - Internet/data services. Mortar Data CEO K Young says many companies struggle to keep up with the infrastructure and expertise big data requires. Does your enterprise have the resources it needs to take full advantage of big data? 12 Hadoop Vendors To Watch In 2012 (click image for larger view and for slideshow) The term "big data" is bandied around a lot these days, but what does it really mean?
Are today's data processing tools and technicians up to the task of processing large--and growing--sets of unstructured data? And are many organizations missing the big data revolution because they lack the resources to take advantage of it? These are just a few of the concerns of Mortar Data co-founder and CEO K Young, who provided an interesting and opinionated take on the state of big data in a recent blog post entitled The Big Big Data Freak-Out of 2012. Young is qualified to opine on the topic. So who's freaking out and why? [ How do CIOs really feel about adopting big data technology? More Insights. Hadoop Security: Some Enterprises Miss Risks. Not enough enterprises understand the security issues that come along with the popular big data platform, members of Hadoop community warn.
Hadoop has plenty of advocates, most of whom praise the open-source framework's speedy data processing and analytics capabilities for organizations that manage huge volumes of data. But many enterprises don't understand how to secure Hadoop, some Hadoop community members say. Officials of Red Lambda, an Orlando, Florida-based tech company that sells MetaGrid, a large-scale Big Data analytics, automation, and security platform, believe that Hadoop's security weaknesses are being overlooked or even ignored by many enterprises that use the distributed computing system. Hadoop "really isn't designed to be a secure processing environment, which is a little scary considering how many people are trying to use it," said Robert Bird, president, CTO, and co-founder of Red Lambda, in a phone interview with InformationWeek.
More Insights. TechSearchSearch for IT White Papers, Webcasts, and more at the TechWeb Digital Library. Big Data. Big Data: Facebook's next big idea. Big_Data.pdf (application/pdf Object) Stem | data analytics power. ‘Big Data’ Can Be Hard to Harness. Online retailing has existed for nearly 20 years, and product recommendations have been around for almost as long, due to the pioneering work of Amazon, which applied for a patent on its collaborative filtering technology in 1998. Since then, a majority of large retailers have adopted online product recommendations.
Yet many of these implementations are still fairly primitive because they fail to understand an online shopper’s real-time product needs. That’s likely to change, however, thanks to the power of “Big Data.” Major ecommerce players like Netflix, Wal-Mart and eBay are leveraging affordable, open-source Big Data tools to deliver real-time personalized shopping experiences. And they say the efforts are paying off, with higher customer spending and improved retention rates.
But many retailers’ personalization efforts are unsophisticated. Retailers themselves recognize the shortcomings of their efforts at personalization. How is Wal-Mart using data from social networks? An Upgrade Race for Data Centers. Qualtrics Online Survey Software | Enterprise Survey Tools. How Big Data Became So Big - Unboxed.