Beschreibung
Big data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesnt fit the strictures of your database architectures. To gain value from this data, you must choose an alternative way to process it. The value of big data to an organization falls into two categories: analytical use, and enabling new products. Big data analytics can reveal insights hidden previously by data too costly to process, such as peer influence among customers, revealed by analyzing shoppers transactions, social and geographical data. Being able to process every item of data in reasonable time removes the troublesome need for sampling and promotes an investigative approach to data, in contrast to the somewhat static nature of running predetermined reports.
Autorenporträt
Namrata Verma has completed BE and holds a Master's degree(MTech)in Computer Science completed in 2016. Her research area focuses mainly in machine learning. She has also worked for government funded projects in the area of web robot detection. Has published papers in the above mentioned topics. Her interest area is machine learning.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
