Evaluating and Predicting Hadoop in the Enterprise

Internet-connected devices, mobility trends, in-memory data processing and the rapid evolution of software tools are all contributors to this trend we call big data. IDC (News - Alert), a research firm, predicts that the market for big data technology and services will reach $16.9 billion by 2015, up from $3.2 billion in 2010. A LogLogic survey found that 49 percent of organizations are somewhat or very concerned about managing big data, but 38 percent don’t understand what big data is, and a further 27 percent say they have a partial understanding. So while big data is among the top buzzwords in the tech industry, it still has a long way to go.

Apache Hadoop was born as an open-source implementation of the MapReduce framework with its supporting file system – the Hadoop Distributed File System (HDFS). As Hadoop enters the enterprise data center, IT administrators should review and analyze its architecture from the dual standpoints of the infrastructure required to instantiate the platform and the processes required to make it conform to established data center management practices.

IT administrators are likely to evaluate Hadoop on the basis of established managed requirements and suitability to enterprise production data centers. In a whitepaper, “Hadoop in the Enterprise,” Evaluator Group and MapR Technologies explore the processes of evaluating Hadoop in the production data center and how the proponents of Hadoop will change based on newly emerging data analytics processes.

MapR Technologies delivers on the promise of Hadoop, making managing and analyzing big data a reality for more business users. Its MapR Distribution brings unprecedented dependability, speed and ease-of-use to Hadoop.

According to the whitepaper, once Hadoop is established as a viable and valuable business analytics platform for user groups, two things are forecasted to happen; the number of user groups wanting Hadoop-based applications will grow within the enterprise from one or two to many, and business groups will come to increasingly depend on Hadoop applications. Just like how e-mail transformed from a novelty to a mission-critical workplace function, Hadoop applications will be pushed into the mission-critical category.

Enterprise IT begin to evaluate Hadoop and its supporting infrastructure using the same criteria that would apply to other production data center-resident applications they are responsible for, such as Hadoop cluster availability, data protection and integrity and manageability.

Newly emerging data analytics processes driven by Hadoop are predicted to push well beyond the Web-based social media environments, where Hadoop has become a standard platform, and into the well-established, production data centers of the Fortune 1000.

To read the entire whitepaper, download it here!

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Edited by Brooke Neuman