Eric Schmidt
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very large data bases | 2015
Tyler Akidau; Robert Bradshaw; Craig D. Chambers; Slava Chernyak; Rafael J. Fernández-Moctezuma; Reuven Lax; Sam McVeety; Daniel Mills; Frances Perry; Eric Schmidt; Sam Whittle
Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business (e.g. Web logs, mobile usage statistics, and sensor networks). At the same time, consumers of these datasets have evolved sophisticated requirements, such as event-time ordering and windowing by features of the data themselves, in addition to an insatiable hunger for faster answers. Meanwhile, practicality dictates that one can never fully optimize along all dimensions of correctness, latency, and cost for these types of input. As a result, data processing practitioners are left with the quandary of how to reconcile the tensions between these seemingly competing propositions, often resulting in disparate implementations and systems. We propose that a fundamental shift of approach is necessary to deal with these evolved requirements in modern data processing. We as a field must stop trying to groom unbounded datasets into finite pools of information that eventually become complete, and instead live and breathe under the assumption that we will never know if or when we have seen all of our data, only that new data will arrive, old data may be retracted, and the only way to make this problem tractable is via principled abstractions that allow the practitioner the choice of appropriate tradeoffs along the axes of interest: correctness, latency, and cost. In this paper, we present one such approach, the Dataflow Model, along with a detailed examination of the semantics it enables, an overview of the core principles that guided its design, and a validation of the model itself via the real-world experiences that led to its development.
Archive | 2013
Eric Schmidt; Jared Cohen
Foreign Affairs | 2010
Eric Schmidt; Jared Cohen
New Perspectives Quarterly | 2013
Eric Schmidt; Jared Cohen
New Perspectives Quarterly | 2011
Eric Schmidt; Jared Cohen; Hillary Clinton; Bernard Kouchner; Julian Assange
Capçalera: revista del Col·legi de Periodistes de Catalunya | 2014
Eric Schmidt; Jared Cohen; Vicente Pruna
Capçalera | 2014
Eric Schmidt; Jared Cohen
Courrier Japon | 2013
Eric Schmidt; Jared Cohen
New Perspectives Quarterly | 2011
Eric Schmidt
Foreign affairs Latinoamérica | 2011
Eric Schmidt; Jared Cohen