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BRAID - A Hybrid Processing Architecture for Big Data
2018
Proceedings of the 7th International Conference on Data Science, Technology and Applications
The Internet of Things is applied in many domains and collects vast amounts of data. This data provides access to a lot of knowledge when analyzed comprehensively. However, advanced analysis techniques such as predictive or prescriptive analytics require access to both, history data, i. e., long-term persisted data, and real-time data as well as a joint view on both types of data. State-of-the-art hybrid processing architectures for big data-namely, the Lambda and the Kappa Architecture-support
doi:10.5220/0006861802940301
dblp:conf/data/GieblerSSM18
fatcat:7daepor6eraclebzrlk2b6enzm