Scott Koegler

Scott Koegler

Scott Koegler is Executive Editor for Big Data & Analytics Tech Brief

Can Big Data Help Avert Catastrophes?

Disasters are becoming too complicated and common in the world. Increasingly, rescue and humanitarian organizations face many challenges as they try to avert catastrophes and reduce deaths resulting from them. In 2017 alone, it was reported that more than ten thousand people were killed, and more than 90 million were affected by natural disasters worldwide. These disasters range from hurricanes and landslides to earthquakes and floods. The years that followed turned out to be equally calamitous, with things such as locust invasions, wildfires, and floods causing havoc across the planet.

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Get Ready for These Big Data Changes in 2021

As we bid adieu to 2020, corporates and big data leaders are looking for ways to get an edge over their competitors in big data projects. Since the inception of big data technologies, the trends in this industry have defined competition and adoption. Although 2020 has been a tough year for big data projects, just like any industry, 2021 is expected to be better. Here are some key big data trends for 2021:

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Don't Let These Examples of Big Data Failures Trip You Up

Big data analytics is a major topic of discussion in enterprise circles these days. This has seen the rise of many projects, most of which are big in size and scope, and ambitious but the majority of which end up failing. According to a 2016 estimation by Gartner, more than 60 percent of big data projects fail. Nothing seems to have changed because many of these projects still fail to date. The question is, what is the cause of these failures? Here are some reasons why big data initiatives do not succeed:

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