Remove 2005 Remove Data-driven Remove Interactive Remove Optimization
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Experimenting to Win with Data

Sisense

When deploying analytics for your company or your customers, you can feel stuck between the twin poles of “What data is available?” The key to coming up with the best insights lies in delving deeply into both questions; the answers you discover can help you get even more out of your data. Determining data goals, making a plan.

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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Code and data for this series are available on github. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

Risk 99
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Stuff Harvard People Like

Edwin Chen

Following the path of my previous data-driven post on differences between Silicon Valley and NYC , I scraped the Quora profiles of a couple hundred followers of each school to find out. Data Storage 0.65. Big Data 0.41. Data Science 0.328. Interaction Design 0.326. Data Visualization 0.301.

Finance 81