What is NASA Doing with Big Data? Check this Out

Within the time you read the above sentence, NASA could have collected 1.73 gigabytes of data from around 100 missions which are active currently. NASA doesn’t stop doing this and the rate of collection is growing in an exponential manner. So, managing this kind of data is an uphill task for them. But the data which NASA collects is highly precious and its significance is immense in NASA’s science and research. NASA is trying extremely hard to make this data as approachable and accessible as possible for their daily tasks, various predictions in the universe, and for the human well-being through its innovations and creativity.

In version 2.0 of their “Open Government Plan” in the year 2012, NASA discussed, but did not go deeply into the work they have been doing regarding “Big Data” and they believed that they have much more to explore in this field.

We all know what big data is and what its uses are. So, I don’t think there is any need to mention what really big data is and let’s move on with other topic.

NASA’s Big Data Challenge

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Using SSD as a Foundation for New Generations of Flash Databases - Nati Shalom

“You just can't have it all” is a phrase that most of us are accustomed to hearing and that many still believe to be true when discussing the speed, scale and cost of processing data. To reach high speed data processing, it is necessary to utilize more memory resources which increases cost. This occurs because price increases as memory, on average, tends to be more expensive than commodity disk drive. The idea of data systems being unable to reliably provide you with both memory and fast access—not to mention at the right cost—has long been debated, though the idea of such limitations was cemented by computer scientist, Eric Brewer, who introduced us to the CAP theorem.

The CAP Theorem and Limitations for Distributed Computer Systems

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Architecting Massively-Scalable Near-Real-Time Risk Analysis Solutions

Constructing a scalable risk analysis solution is a fascinating architectural challenge. If you come from Financial Services you are sure to appreciate that. But even architects from other domains are bound to find the challenges fascinating, and the architectural patterns of my suggested solution highly useful in other domains.

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Big Data Application Platform

It's time to think of the architecture and application platforms surrounding "Big Data" databases. Big Data is often centered around new database technologies mostly from the emerging NoSQL world. The main challenge that these databases solve is how to handle massive amount of data at a reasonable cost and without poor performanc - distributed databases emerged to address this challenge and today we're seeing high adoption rate and quite impressive success stories such as the Netflix use of Cassandra/DataStax solution. All that indicate the speed in which this market evolves.

The need for a Big Data Application Platform

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