The Seattle Report on Database Research
Every five years, a group of the leading database researchers meet to reflect on their community's impact on the computing industry as well as examine current research challenges.
Michael J. Franklin
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Author Archives
Apache Spark: A Unified Engine For Big Data Processing
This open source computing framework unifies streaming, batch, and interactive big data workloads to unlock new applications.
The Beckman Report on Database Research
Database researchers paint big data as a defining challenge. To make the most of the enormous opportunities at hand will require focusing on five research areas.
Answering Enumeration Queries with the Crowd
Hybrid human/computer database systems promise to greatly expand the usefulness of query processing by incorporating the crowd. Such systems raise many implementation questions. To address the issues, we develop statistical tools that enable users and systems developers to reason about query completeness.
Quantifying Eventual Consistency with PBS
Eventual consistency is often "good enough" for practitioners given its latency and availability benefits. In this work, we explain this phenomenon and demonstrate that eventually consistent systems regularly return consistent data while providing lower latency than their strongly consistent counterparts.
Technical Perspective: Data Analysis at Astonishing Speed
The importance of data analysis has never been clearer. Globe-spanning scientific collaborations are exploring data-intensive questions at a scale limited only by the power of the computing resources they can harness.
The Claremont Report on Database Research
Database research is expanding, with major efforts in system architecture, new languages, cloud services, mobile and virtual worlds, and interplay between structure and text.
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