Hadoop in the cloud: A Nielsen use case
summary
Nielsen moves core analytics to public clouds to drive agile devops and elastic, near‑real‑time processing, running about 10% of commercial workloads in the cloud today and targeting ~50% over time. The implementation uses a portable open‑source stack deployed across multicloud (AWS, Azure) with Cloudera Director for cross‑cloud management and Google apps for business collaboration. Early production deployments run analytics jobs in both AWS and Azure and report successful scale and cost arbitrage.
AI-written summary · about
related talks
28mFlexible Cloud, Whatever The Workload
20mHow the cloud changed the way I do analytics and research
38mWhat's Next after Cloud Meets Big Data
45mHadoop in the Cloud: The Story of Migrating Hundreds of Petabytes
15mEnabling Scalable Data Analytics for Enterprise Success
57mBig Data: Threat or Opportunity?
49mData Platform Architecture, Evolution, and Philosophy
16mHadoop's Impact on the Future of Data Management