The usage of the Big Data, the techniques that have been being used in this domain, in which field people use Data Mining more frequently and several more aspects..
Here in this blog, I wanted to touch some very fundamental dimensions that big data spans.
Did you know that we create 2.5 quintillion bytes of data daily and — so much that 90% of the data in the world today has been created in the last two years alone.?
This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few.
Big data spans four dimensions: Volume, Velocity, Variety, and Veracity.
Volume: Enterprises are awash with ever-growing data of all types, easily amassing terabytes—even petabytes—of information.12 terabytes of Tweets are being turned into improved product sentiment analysis and 350 billion annual meter readings are converted to better predict power consumption.
Velocity: Sometimes 2 minutes is too late. For time-sensitive processes such as catching fraud, big data must be used as it streams into your enterprise in order to maximize its value.5 million trade events are scrutinized to identify potential fraud daily. 500 million daily call detail records are being analyzed in real-time to predict customer churn faster
Variety: Big data is any type of data - structured and unstructured data such as text, sensor data, audio, video, click streams, log files and more. New insights are found when analyzing these data types together.
We can monitor 100’s of live video feeds from surveillance cameras to target points of interest and exploit the 80% data growth in images, video and documents to improve customer satisfaction.
Veracity:1 in 3 business leaders don’t trust the information they use to make decisions. How can you act upon information if you don’t trust it? Establishing trust in big data presents a huge challenge as the variety and number of sources grows....
This video explains big data characteristics, technologies and opportunities. It is kind of summarizing and visualizing the things that we have been learning...
http://www-01.ibm.com/software/data/bigdata/
http://www.youtube.com/watch?v=7D1CQ_LOizA
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