Using Big Data Can Help Predict Where the Coronavirus is Going Next

To date – just shy of 71,000 people around the world have been infected by the coronavirus (COVID-19) in which symptoms range from mild to severe. The disease has claimed the lives of 1,700 people (or just south of 2.5% of those infected). As governments scramble to halt the disease from spreading – tech companies are analyzing big data to predict emerging trends and combat the extent of the disease.

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'Winging it' Vs 'Statistical Reasoning' Part III: Results and Conclusions

It only seems right to wrap up my fantasy football trilogy so close to the Super Bowl. I wanted to find out how the experts did in their fantasy football leagues. Did they come out on top? Did they lose and have to subject themselves to a humiliating punishment? And after all of this – what can we learn about using statistics vs winging it when it comes to fantasy football leagues and similar games?

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Out of Sight- Out of Mind - Why Data Lakes are Vulnerable to Cyber Attacks

Data loss protection, anti-viruses, and endpoint security are just some of the technology available to defend against a cybersecurity attack. Organizations use these platforms to keep their existing data secure from potential threats. Often, this protection does not extend to information stored in data lakes. Because of this – information located in data lakes are vulnerable to attacks – a problem that hackers exploit when infiltrating data lakes.  

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Did 2019 Big Data Predictions Surpass the Hype?

In 2018 there were numerous Big Data predictions from industry leaders. For instance, there will be a high demand for data scientists. Big Data will become more accessible. Information retrieval and NLP will see a surge in use. Now that we are in Q4 of 2019, did those and other predictions live up to the hype or go beyond industry expectations?

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