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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive.

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Introducing Cloudera DataFlow (CDF)

Cloudera

Process millions of real-time messages per second to feed into your data lake or for immediate streaming analytics. Streaming Analytics – Analyze millions of streams of data in real-time using advanced techniques such as aggregations, time-based windowing, content-filtering etc.,

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Machine Learning and AI Underpin Predictive Analytics to Achieve Clinical Breakthroughs

Cloudera

We recently announced the availability of MetiStream Ember on top of Cloudera, which offers an end-to-end interactive analytics platform specifically for the healthcare and life sciences industries. The post Machine Learning and AI Underpin Predictive Analytics to Achieve Clinical Breakthroughs appeared first on Cloudera Blog.

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A Guide to Data Analytics in the Travel Industry

Alation

Ethical data management requires travel organizations to go beyond the minimum baseline requirements of data privacy and protection law and focus on building trusting relationships that ensure data trustworthiness. How is data analytics used in the travel industry? Curious to see Alation in action?