Big data processing

Big data processing


Big data processing


 Look around at the technology we have today, and it's easy to come to the conclusion that it's all about data. As consumers, we have an increasing appetite for rich media, both in terms of the movies we watch and the pictures and videos we create and upload. We also, often without thinking, leave a trail of data across the Web as we perform the actions of our daily lives.

Not only is the amount of data being generated increasing, but the rate of increase is also accelerating. From emails to Facebook posts, from purchase histories to web links, there are large data sets growing everywhere. The challenge is in extracting from this data the most valuable aspects; sometimes this means particular data elements, and at other times, the focus is instead on identifying trends and relationships between pieces of data.

There's a subtle change occurring behind the scenes that is all about using data in more and more meaningful ways.

Large companies have realized the value in data for some time and have been using it to improve the services they provide to their customers, that is, us. Consider how Google displays advertisements relevant to our web surfing, or how Amazon or Netflix recommend new products or titles that often match well to our tastes and interests.

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