Re | Big Data, Cloud & Internet of Things

 



Fast-changing, human-driven events like expansion of cities and creation of assets for transportation are very vulnerable to old data. Any person who has been misled by car navigation systems can testify to the fact that the digital road network on their device is often out of date and does not show new features.
The need of the hour therefore is for speed of data delivery and crunching.
Where does this data come from and how can it be used in real-time or near-real-time for decision making?
Find out for yourself in this month’s Geospatial World magazine.
The Continuum: Big Data, Cloud & Internet of Things

By Arup Dasgupta August 17, 2016

If geospatial systems have to remain relevant in a fast-changing world, then data sources that go beyond imagery and maps must become a part of the analysts’ armory. Big Data, its analytics in the Cloud and the final Internet of Things are what the future holds.

Q: How many big data scientists does it take to screw in a lightbulb? A: Just a minute. Let me run the algorithm


Natural resources as well as social, political and economic activities have a strong bearing on the outcome of projects such as growth of cities, building of infrastructure and even a farmer’s decision to plant a specific crop. If geospatial systems have to remain relevant in a fast-changing world, then data sources that go beyond imagery and maps must become a part of the analyst’s armory.
Enter the world of Big Data, Big Data Analytics and Internet of Things.

More data is not always more intelligent data

“The rate at which we are generating data is rapidly outpacing our ability to analyze it,” says Dr. Patrick Wolfe, Data Scientist at the University College of London. “The trick here is to turn these massive data streams from a liability into a strength.” The extent to which we are missing extraordinarily valuable data analytic opportunities is incredible: right now, only 0.5% of our information is analyzed. We have more data, but it is not always more intelligent data. Part of the problem with Big Data is that it is not valuable until it is understood. “You have to start with a question and not with the data,” stresses Andreas Weigend, Lecturer at UC Berkeley. “The fact that data gets collected is a good thing,” he adds, but what we really need is to figure out what problems we can solve with it.. . ."

“Our world is ever changing and fresh and dynamic applications that are a combination of content, workflow, analytics and experience can be used in any area of application where we need to sense this change,” elaborates Atanu Sinha, Director, Hexagon Geospatial, India & SAARC. Hexagon, for instance, already has Smart M.Apps to analyze green space, road areas, crime incidents, snow cover, forest burn ratio, iron oxide index in rocks, crop health, UAV data processing and so on.

Read more >> http://www.geospatialworld.net/article/the-continuum-big-data-cloud-and-internet-of-things/