Big Data issues : Is it all about crunching the numbers ?

© Gary Marcus says in the New York Times:

“Big Data is suddenly everywhere, everyone seems to be collecting it, analyzing it, making money from it and celebrating its powers”

But first of all, what is Big Data ?

According to Avita Katal, Big data is defined as large amount of data which requires new technologies and architectures so that it becomes possible to extract value from it by capturing and analysis process. Due to such large size of data it becomes very difficult to perform effective analysis using the existing traditional techniques. Big data due to its various properties like volume, velocity, variety, variability, value and complexity put forward many challenges.

Few statistics : according to CISCO, in 2013 Internet Communications weighed 667 exabytes. On the other hand, through Social Media, we produce more than 12 terabytes of data each day.

Then what challenge does the Big Data rise ?

Dr. Timo Hannay empathizes three key points :

“first we have to understand that information is power, data is the new oil; on the second hand we must teach and train data professionnals (Data Mining Engineer, Chief Data Officier,…) and last but not least we have to design new tools to handle Big Data issues.”

During the CES, check out our booth (81241) for a personal demo.