Massive But Agile: Best Practices for Scaling the Next-Generation Data Warehouse
by James Kobielus

Information and knowledge management (I&KM) professionals continue to expand the scale, scope, and deployment roles for their enterprise data warehouse (EDW) investments. Today’s most demanding EDW environments support petabytes of aggregated data, trillions of records, thousands of concurrent users and queries, complex mixed-query workloads, subsecond latencies, and continuous, highvolume data loading. Information managers are adopting EDW best practices that push the scalability and performance envelope without sacrificing the agility to optimize this critical infrastructure to ever-changing analytic workloads.

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