The business analytics & enterprise software publishing market includes publishing activities for business analytics solutions such as predictive analysis software and enterprise software solutions such as enterprise resource planning. Recently, business analytics and enterprise software publishing industry has witnessed a steady growth and with technological advancements the market is anticipated to witness a steady growth throughout the forecast period.

A team of Clarkson University students won third place at the First Annual Business Analytics Conference and Competition, this spring.

Dylan Dawson ’15 of Lake Clear, N.Y., and Donald Dish ‘17of Stamford, Conn., competed with participants from 12 other colleges and universities from across the nation at Manhattan College. Teams of two to four undergraduate students went head-to-head in the contest that honed their knowledge of analytics. They were judged by a panel of faculty advisers, field experts and industry leaders.

“I wouldn’t say that we have hit the peak of innovation. I think we’re shifting arrows,” he stated. He went on to explain, “We’re shifting the arrows of going from the building blocks of data analytics to what I call the new era of automated intelligence. It’s a less scary explanation of the term AI than a lot of people have since spoken about …. We’re seeing the start of the next industrial revolution, data being the raw material. I think this is the next era of that same revolution where massive amounts of automation will enable every single industry, every single company, and every single player in the ecosystem to automate hitherto complex, manual and human processes. That is the ultimate pinnacle of this revolution.”

Given the innovations in Hadoop and the evolution of the entire data architecture, Bearden sees big changes in the data layer.

“Not only is the data layer going to replatform away from the standard silo transactional systems, but Hadoop creates a central architecture where all workload types can come together and bring all data sets,” he said. “Now, you can deploy data across any deployment architecture that fits the workload the best. So you get not only a modern data architecture, but also a modern deployment architecture that will make it transparent where that data is on which deployment architecture.”

Hadoop also has the potential to influence the enterprise on a fundamental level.

Rob Bearden, CEO of Hortonworks, Inc., which develops and supports Apache Hadoop, sees the hard work of the past few years coming into fruition. The market is on the brink of a positive explosion, theCUBE cohost John Furrier believes, which explains Bearden’s excitement.

“Hadoop has crossed over to become an enterprise-viable data platform,” he said during an interview with theCUBE during Hadoop Summit 2015. “The architecture can now address multiple kinds of use case and work loads, and the ecosystem is thriving. It’s transforming the IT landscape and how data is going to be managed for the next 15 years.”

Paul Cormier, president of Product and Technologies for Red Hat, Inc., told theCUBE during Red Hat Summit 2015 that everything the company creates goes back to the open-source community. A newly acquired company may present the one exception.

“If we acquire a company that doesn’t have open-source technology, it may take us 60 to 90 days to get through the process, but our promise is to [send everything to open source],” Cormier said.

The Hadoop ecosystem is approaching a new industrial revolution, and it’s all based on emerging data management methods. Where does the industry go from here? In theCUBE’s Day 1 kickoff of Hadoop Summit, George Gilbert, a Big Data analyst at research firm Wikibon.org, and Abhi Mehta, founder and CEO of Tresata, Inc. joined SiliconANGLE’s founder John Furrier to talk about trends in machine learning and systems of intelligence.

Source: searchbusinessanalytics.techtarget.com

Ryan Peterson, chief solutions strategist EMC, also joined theCUBE to discuss how customers need to rethink their data plan to take advantage of the latest technology.

“Customers want to know where to move their data so that it’s future-proof and accessible,” he said. “If you move your data into a tool set, then you’ve locked your data into that tool set. The future of the data lake is about keeping that data in raw form and making it accessible to any tool set. Ultimately, customers can abstract that value up into Cloud Foundry where I can build any app against that data.”