Big Data – “Big data” is data that becomes large enough that it cannot be processed using conventional methods.
Web search engines, social networks, mobile phones, sensors and science chip in to petabytes of data created on a daily basis. Scientists, intelligence analysts, governments, meteorologists, air traffic controllers, architects, civil engineers-nearly every industry or profession experience the era of big data. Add to that the fact that the democratization of IT has made everyone a (sort of) data expert, well-known with searches and queries, and we’re seeing a huge burst of awareness in big data.
The greater part of data has multifaceted and undiscovered relationships. It doesn’t fit simply into relational models.
Let’s see some of the practical examples for big data processing.
· For discovering People You May Know and other fun facts.
· Item-Item Recommendations
· Member and Company Derived Data
· User’s network statistics
· Who Viewed My Profile?
· Abuse detection
· User’s History Service
· Relevance data
· Crawler detection
· Natural Language Processing
· Mobile Social Network Hacking
· Web Crawlers/Page scrapping
· Text to Speech
· Machine generated Audio & Video with remixing
· Automatic PDF creation & IR
· Batch-processing large RDF datasets, for indexing RDF data. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link.
· Executing long-running offline SPARQL queries
D. GumGum-Iin-image ad network
· GumGum is an analytics and monetization platform for online content.
· Image and advertising analytics
E. Lineberger Comprehensive Cancer Center – Bioinformatics Group
· For accumulating and analyzing Next Generation sequencing data produced for the Cancer Genome Atlas project and other groups.
F. Pharm2Phork Project – Agricultural Traceability
· Processing of observation messages generated by RFID/Barcode readers as items move through supply chain.
· Analysis of BPEL generated log files for monitoring and tuning of workflow processes.