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Optimize Performance and Scalability

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Wayne Eckerson breaks down how data is being optimized to create a balance of both speed and accuracy so that data is more useful than ever.

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© Eckerson Group LLC Optimize Performance and Scalability Wayne W. Eckerson
© Eckerson Group LLC Optimize Scalability and Performance Pros: Consistently fast queries Cons: Summary data, stale data Pros: Query all data, fresh data Cons: Query performance Speed Scalability Approach: Extract and Query Approach: Direct Query Scalability strategies - More hardware (RAM, clusters) - Linked databases - Drill to detail Examples: In-memory databases, OLAP on Hadoop Performance Strategies - Native APIs - Caching - Projections Examples: Real-time dashboards; data sharpening

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Optimize Performance and Scalability

  • 1. © Eckerson Group LLC Optimize Performance and Scalability Wayne W. Eckerson
  • 2. © Eckerson Group LLC Optimize Scalability and Performance Pros: Consistently fast queries Cons: Summary data, stale data Pros: Query all data, fresh data Cons: Query performance Speed Scalability Approach: Extract and Query Approach: Direct Query Scalability strategies - More hardware (RAM, clusters) - Linked databases - Drill to detail Examples: In-memory databases, OLAP on Hadoop Performance Strategies - Native APIs - Caching - Projections Examples: Real-time dashboards; data sharpening