Big Data is inevitable and low latency is the need of the hour. Effectiveness in processing data has never been so relevant. If not engineered well, data processing systems that operate on Big Data are sure to suffer from performance problems. In this Executive Update, we explore an intuitive heuristic that will enable the user to understand the technical tradeoffs and learn how to performance engineer as well as tune a data processing system to effectiveness.
Executive Update
The Latency Cube: An Heuristic to Performance Engineering and Tuning Data Processing Systems
Posted September 6, 2012 | Technology |
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