Pivotal partners with Capgemimi on Big Data
IT consultancy joins Pivotal party to help both firms make sense of big data.
EMC’s “billion dollar start-up” Pivotal has teamed with IT consultancy Capgemini to support the development of its big data offerings.
The firms said the partnership would bring together “Capgemini’s expertise in business solutions for big data and analytics with Pivotal’s market leading data platform technologies to deliver solutions for today’s increasingly data rich world.”
It will take the concepts of big data, PaaS and agile development and transform them into something they hope to sell to end users.
The first area where the two companies will collaborate has been dubbed “Business Data Lake”. They said this would be a new approach that combines big data volumes from new sources with legacy data to provide business relevant analytics capabilities on a robust platform.
This will transform how information is used within the enterprise, moving away from a single centralised view, they said.
“It enables a broad base of business users to create their own personal perspectives on all data: structured and unstructured, stored and streamed and from inside and outside their organisation. The end result will provide agile and relevant analytical insight to a broad community of business users, and through real-time technology, integrate those insights directly into business processes,” the companies said in a joint statement.
They also plan to start up a dedicated “Pivotal Center of Excellence” (CoE) within Capgemini’s Business Information Management (BIM) centre in India. This would comprise 500 dedicated Pivotal product experts by 2015, and has on call access to over 8,000 information management practitioners and 6,000 Java developers.
Paul Maritz, chief executive of Pivotal, said companies would need to innovate together to solve problems for customers and this is the reason behind the collaboration with Capgemini.
“This new offer represents our belief that the future of information insight within enterprises requires a new operating model, as both data volumes increase and real-time intelligent response becomes a necessity of doing business,” he said. Read more
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