Hadoop and Big Data Hype
summary
Argues Hadoop is ready for production today and gives concrete benefits: $15–16k per TB vs a few hundred storage cost, faster low-cost analytics that let teams scan full data instead of sampling, and production use cases like offloading data warehouses, fraud detection, recommendation engines and sensor-based predictive analytics. Calls out operational gaps — data protection and mirroring, disaster recovery and SLA compliance — and describes MapR’s platform work adding Kerberos and native authentication to close them.
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