Four properties of data storage and retrieval can be evaluated to help determine when Big Data technology may be useful.
Turn 12 terabytes of Tweets created each day into improved product sentiment analysis
Convert 350 billion annual meter readings 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.
Scrutinize 5 million trade events created each day to identify potential fraud
Analyze 500 million daily call detail records 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.
Monitor 100’s of live video feeds from surveillance cameras to target points of interest
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.
Next Tuesday I’ll discuss MapReduce Processing and on Wednesday 26 I’ll be broadcasting part 2 of my Big Data series live, register for this event http://www.metron-athene.com/services/training/webinars/index.html
If you missed Part 1 register for our Community and listen to it now http://www.metron-athene.com/_downloads/on-demand-webinars/index.html
Dale Feiste
Principal Consultant
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