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Evaluating Accumulo Performance for a Scalable Cyber Data Processing Pipeline
[article]
2014
arXiv
pre-print
Streaming, big data applications face challenges in creating scalable data flow pipelines, in which multiple data streams must be collected, stored, queried, and analyzed. These data sources are characterized by their volume (in terms of dataset size), velocity (in terms of data rates), and variety (in terms of fields and types). For many applications, distributed NoSQL databases are effective alternatives to traditional relational database management systems. This paper considers a cyber
arXiv:1407.5661v1
fatcat:wlyerumjajffbnq66qfur362wa