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In pursuit of graph processing performance, the systems community has largely abandoned general-purpose distributed dataflow frameworks in favor of specialized graph processing systems that provide… Continue Reading
This open source computing framework unifies streaming, batch, and interactive big data workloads to unlock new applications.
Many systems run rich analytics on sensitive data in the cloud, but are prone to data breaches. Hardware enclaves promise data confidentiality and secure execution of arbitrary computation, yet still… Continue Reading
From social networks to language modeling, the growing scale and importance of graph data has driven the development of numerous new graph-parallel systems (e.g., Pregel, GraphLab). By restricting… Continue Reading
Nearly 15 years ago, Hellerstein, Haas and Wang proposed online aggregation (OLA), a technique that allows users to (1) observe the progress of a query by showing iteratively refined approximate… Continue Reading
Matei Zaharia is a fifth year PhD student at UC Berkeley, working with Scott Shenker and Ion Stoica on topics in computer systems, networks, cloud computing, and big data. He is also a committer on… Continue Reading
Graph data is prevalent in many domains, but it has usually required specialized engines to analyze. This design is onerous for users and precludes optimization across complete workflows. We present… Continue Reading
Debugging the massive parallel computations that run in today’s datacenters is hard, as they consist of thousands of tasks processing terabytes of data. It is especially hard in production settings,… Continue Reading
When children present with a urinary tract infection (UTI), the goal is early recognition and treatment in an attempt to prevent renal parenchymal damage and subsequent renal scarring. The risks of… Continue Reading
As the emergence of cloud computing brings the potential for large-scale data analysis to a broader community, architectural patterns for data analysis on the cloud, especially those addressing… Continue Reading