2014 Big Data Predictions Include Bigger Data, Bigger Funding, Bigger Failures

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Concurrent, Inc. CEO Predicts 2014 Big Data Trends – More Funding and IPOs, Hadoop is Still Everywhere, But It’s All About the Apps

SAN FRANCISCO – Dec. 12, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today released its top 2014 predictions around Big Data. As the previous year witnessed major market milestones such as the release of Hadoop 2, expansion of the Hadoop ecosystem and continued investment in Big Data initiatives by global enterprises, 2014 promises to be another momentous year for Big Data.

“Today every company is in the business of data, and this will drive the demand for cost effective and scalable Big Data platforms higher than ever before,” said Gary Nakamura, CEO of Concurrent, Inc. “As the market starts to catch up to the Big Data hype, 2014 will prove that leveraging the right tools can make or break a project. In addition to new roles and requirements, the coming year will also see acquisitions, IPOs and funding on the rise and a shift toward Big Data application development as the next big thing.”

Nakamura offered the following 2014 predictions:

  1. Funding is the new black.
    Everyone wants a piece of the Big Data pie. In 2014, we will see Big Data funding only grow, and at least one significant IPO possibly from a player like Cloudera. As investors rush to get in the game, investments in Big Data will increase significantly yet imprudently, as smart people rather than innovative ideas will attract funding. Therefore, next year will signal the need for a funding reset – more due diligence, less mediocrity.
  2. More Hadoop projects will fail than succeed.
    More Hadoop projects will be swept under the rug as businesses devote major resources to their Big Data projects before doing their due diligence, which results in a costly, disillusioning project failure. We may not hear about most of the failures, of course, but the successes will clearly demonstrate the importance of using the right tools. The right Big Data toolkit will enable organizations to easily carry forward the success of these projects, as well as further insert their value into their business processes for market advantage.
  3. Enter the era of the Big Data product manager.
    As enterprises work to bridge the emerging gap between Big Data projects and business processes, this opens the door to a new career opportunity. The role of Big Data product manager will entail the identification, definition and shipping of specific data products aimed to solve critical business problems and maximize opportunities. It will require product management and data experience, along with a deep understanding of data science, and will become the norm as companies recognize that they are in the business of data.
  4. The next big thing in Big Data will NOT be the data, but the apps. 
    While we can expect to see continued investment happen at the data layer, we also anticipate a massive acceleration in the number and frequency of new data applications. These applications will turn into data products for internal and external use, and will clearly emerge as the next area of growth for Big Data.
  5. While it becomes ever ubiquitous, the Big Data “thang” will remain convoluted.
    We are sorry to say that the rapidly evolving Big Data market will continue to confuse rather than provide clear guidance on what it is exactly that enterprises should be doing now. Those businesses that can separate the wheat from the chaff, and execute upon this valuable knowledge, will be the ones to succeed.

Supporting Resources

Company: http://concurrentinc.com
Cascading: http://cascading.org
Contact us: http://concurrentinc.com/contact
Follow us on Twitter: http://twitter.com/concurrent

About Concurrent, Inc.

Concurrent, Inc. is the enterprise Big Data application platform company. Founded in 2008, Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. We are the company behind Cascading, the most widely used and deployed technology for building Big Data applications with more than 110,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation, Square and Etsy rely on Concurrent’s technology to drive their Big Data deployments. Concurrent is headquartered in San Francisco. Visit Concurrent online athttp://concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 922-7287

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