Executive Update

The Latency Cube: An Heuristic to Performance Engineering and Tuning Data Processing Systems

Posted September 6, 2012 | Technology |

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.

About The Author
Ramaswami Mohandoss
Ramaswami Mohandoss is an architect, programmer, and data enthusiast. He works at the intersection of technology, big data, and data science, helping clients monetize their data assets and shaping the intuition of decision makers. He can be reached at ramaswami.mohandoss@gmail.com.
Don’t have a login? Make one! It’s free and gives you access to all Cutter research.