Data analytics company Teradata is making big moves on the big
acquisition front. The company, which serves up analytic data platforms, marketing
and related services, has snapped up two companies it hopes will drive big data revenues.
Teradata acquired the assets of Revelytix, a player in management products for big data that has developed metadata management technology and expertise in integrating information across the enterprise. Teradata also grabbed the assets of Hadapt, including experienced big data technologists and intellectual property. Financial terms of the deal were not disclosed.
“The addition of the key assets of these companies underscores Teradata’s commitment to continued innovation and value, extends our big data portfolio, and enhances the Teradata Unified Data Architecture,” said Scott Gnau, President of Teradata Labs. Teradata Unified Data Architecture allows organizations to capture, deploy, support, manage, and access all their data.
All About the Architecture
Teradata, which recently won two Steve Awards for industry leadership in data-driven marketing and technology from the 12th annual American Business Awards, isn’t shooting in the dark. Indeed, the company has data governance and Hadoop on its mind. Hadoop is an Apache open-source software project that makes it possible to execute distributed processing of large data sets across clusters of commodity servers.
Teradata sees data governance and understanding metadata in Hadoop as one of the biggest challenges and impediments to success with Hadoop. So what does each company bring to the Teradata table?
The Revelytix acquisition offers new data management and data preparation tools in Hadoop. These technologies offer integrated metadata, lineage, and data wrangling capabilities. Teradata also welcomes an experienced team with a metadata management history.
Hadapt, meanwhile, offers Teradata an experienced engineering team with deep big data knowledge. The company plans to leverage that knowledge to drive improvements to its Teradata Unified Data Architecture.
How Big is the Opportunity?
The opportunity is real. SNS Research reports big data has found a host of vertical market applications even as real-time data from sources such as devices, Web, social media, sensors, log files and transactional applications is growing at breakneck speed. Those applications range from fraud detection to R&D.
Although challenges concerning privacy and organizational resistance remain, big data investments continue to gain momentum worldwide. SNS Research predicts big data investments will account for nearly $30 billion in 2014 alone. These investments are further expected to grow at a compound annual growth rate of 17 percent over the next six years.
And according to a new QuinStreet survey, 77 percent of respondents consider big data analytics a priority. Another 72 percent cite enhancing the speed and accuracy of business decisions as a top benefit of big data analytics. And 71 percent of mid-size and large firms are planning for, if they are not already active in, big data initiatives.