MapR, TCS Partner on Turnkey Hadoop Big Data Analytics
Enterprise adoption of Big Data analytics took another step forward this week with the announcement of a partnership between MapR, the Hadoop vendor, and Tata Consultancy Services (TCS). The deal aims to make it easier for businesses to leverage Big Data in new ways.
Enterprise adoption of Big Data analytics took another step forward this week with the announcement of a partnership between MapR, the Hadoop vendor, and Tata Consultancy Services (TCS). The deal aims to make it easier for businesses to leverage Big Data in new ways.
The partnership centers on building turnkey Big Data analytics and business intelligence solutions, based on MapR's Hadoop distribution, into the services and products that TCS offers clients. Examples of the technologies that the companies plan to integrate together include recommendation engines, supply chain optimization and pricing analytics.
According to the two companies, their collaboration "will shift the IT cost curve and allow companies to strategically reimagine their business models." They also emphasize that the partnership comes at a time of rapid growth for the Big Data-analytics market, which Gartner expects to reach $96 billion by 2016.
The pairing of MapR with a global consultancy company stands to be a key driver of that growth, since it exposes a wider swath of businesses—including many in sectors where Big Data analytics have not yet gained a great deal of adoption, or which lack the resources to implement Big Data solutions that require significant in-house development—to business intelligence based on Hadoop.
"MapR is excited to partner with TCS to help customers overcome market uncertainty and tackle Big Data challenges and opportunities," said Jon Posnik, vice president of business development, MapR Technologies. "This partnership brings TCS’ vast big data experience and industry domain knowledge together with our industry-leading, enterprise-grade Hadoop platform. This will be a big win for our joint customers."
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