We should be in a golden age of scientific discovery, given that we have more data and more compute power available than ever before, plus a new generation of algorithms that can learn effectively from data. But paradoxically, in many data-driven fields, the eureka moments are becoming increasingly rare. Scientists are struggling to keep pace with the explosion in the volume and complexity of scientific data. We describe here a few simple architectural principles that we believe are essential in order to create effective, robust, and flexible platforms that make the best use of emerging technology to deal with the exponential growth of scientific data.

中文翻译：

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有效科学大数据系统的七项原则

我们应该处于科学发现的黄金时代，因为我们拥有比以往更多的数据和更多的计算能力，以及可以从数据中有效学习的新一代算法。但矛盾的是，在许多数据驱动的领域，尤里卡时刻变得越来越少。科学家们正在努力跟上科学数据数量和复杂性的爆炸式增长。我们在这里描述了一些简单的架构原则，我们认为这些原则对于创建有效、稳健和灵活的平台至关重要，这些平台充分利用新兴技术来处理科学数据的指数增长。