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Enterprise Hadoop: Ready for prime time?
Sponsored by SearchBusinessAnalytics
Many vendors are pitching Hadoop as the foundation for enterprise data management environments that delivers information and insights to business users and serves as a hub for other data systems and applications. In the era of big data, the case for Hadoop is strong: Hadoop provides a cost-effective way to ingest, store and process large volumes of multi-structured data. With Hadoop, organizations can store all data in its original format and provide a system of record for the enterprise. Even more, they can bring the applications to Hadoop and process the data in place.
But does reality square with the promise today? Are companies willing to trust their enterprise data to Hadoop? The big question is whether Hadoop is ready to support enterprise-scale, production environments where data can't be corrupted or inconsistent. Does Hadoop have adequate management, monitoring, backup, recovery and security features? What are the major gaps today and what are vendors doing to plug the holes? At what point can companies trust production computing environments to Hadoop? This report, based on a comprehensive survey of business intelligence professionals and interviews with experts in the field, addresses these questions.
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