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The benefits of real-time data

By incorporating real-time analysis of data into environmental research,

scientists are advancing their understanding of major ecological challenges.

Streaming technology opens new fields of research and takes the concept of

scientific data collection and analysis in a new direction. They are looking at

data they may have collected in the past in a new way and are also able to

collect new types of data sources. Although you can learn a lot by monitoring

change variables such as water temperature and water chemistry at set inter-

vals over time, you may miss out on identifying important changes or patterns.

When you have the opportunity to analyze streaming data as it happens,

it is possible to pick up on patterns you might have missed. Real-time data

on river motion and weather is used to predict and manage river changes.

Scientists are hoping to predict environmental impacts just like we report on

and forecast weather. They are furthering research on the impact of global

warming. They are asking what can be learned from watching the movements

of migrating fish. How can watching how pollutants are transported help to

clean up from future environmental contamination?

If data scientists are able to take data they have already collected, they can

combine it with the real-time data in a much more efficient manner. They

also have the capability to do more in-depth analysis and do a better job of

predicting future outcomes. Because this analysis is completed, it allows

other groups needing the same information to be able to use the findings in

new ways to analyze the impact of different issues. This data could be stored

in a data cloud environment so that researchers across the globe can have

access, add new data into the mix, and solve other environmental problems.