Publication
The Vision of BigBench 2.0
Tilmann Rabl / Michael Frank / Manuel Danisch / Hans-Arno Jacobsen / Bhaskar Gowda
Proceedings of the Fourth Workshop on Data analytics in the Cloud, 2015 ยท Conference Paper
Abstract
Data is one of the most important resources for modern enterprises. Better analytics allow for a better understanding of customer requirements and market dynamics. The more data is collected, the more information can be extracted. However, information value extraction is limited by data processing speeds. Due to fast technological advances in big data management there is an abundance of big data systems. This leaves users in the dilemma of choosing a system that features good end-to-end performance for the use case. To get a good understanding of the actual performance of a system, realistic application level workloads are required.