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Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Sisense

To get truly powerful insights, you need to pull in data from multiple sources. Additional data sources increase your chances to inform actions, fueling top-line and bottom-line growth. Read on to find out how Measuremen optimizes workspace utilization, Skullcandy minimizes product returns, and Air Canada improves airline safety.

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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. Data Visualization 0.301. Freakonomics (2005 Book) 0.307.

Finance 81