•• Volume:
Enterprises are awash with ever-growing data of all types, easily amassing terabytes—even petabytes—of information.
1. Input data to big data systems could be chatter from social networks, web server logs, traffic flow sensors, satellite imagery, broadcast audio streams, banking transactions, MP3s of rock music, the content of web pages, scans of government documents, GPS trails, telemetry from automobiles, financial market data, and so on.
2. 100 billion Facebook requests and 200 million Tweets per day
•• Velocity:
Sometimes a minute is too late. For time-sensitive processes such as catching fraud, financial Market or traffic flow sensors, big data must be used as it streams into your enterprise in order to maximize its value.
1. Scrutinize 5 million trade events created each day to identify potential fraud
2. Analyze 1000's million daily call detail records in real-time.
•• Variety:
Big data is any type of data - structured (RDBMS) 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.
1. Monitor 100’s of live video feeds from surveillance cameras to target points of interest
2. Exploit the 80% data growth in images, video and documents to improve customer satisfaction
"Big data concept is not only the limited for size; it is an brightest way to find insights in new and various emerging types of data and contents, to make your solution more robust and powerful, and to answer questions that were previously considered beyond your reach, only the sky is the limit…!!!"
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