Big Data! It Implies

Twitter, Facebook, world data centre, Amazon and Google all these social networking or ecommerce site has huge footprint in terms of number of users, transactions they perform and data they crunch day in day out. These numbers are so big that it range from
terabyte to petabytes.

1. Data Explosion
2. Monetization
3. Social Media
4. Data mobilization
5. Technology Advancement

Big Data -

high amount of data to be processed, produced and available with respect to diversity of source inside and outside.

Areas require Big Data

• Image processing
• Video processing
• Seisemic processing
• sensor data analysis
• network analysis
• enterprise monitoring
• Enterprise data warehouse
• Low latency Non Relationship Database
• Key value - Amazon dynomite
• Column oriented- cassandra hbase,Riask
• Document databases- Couch db/Mongodb
• Graph based- Neoo4j,Allegrograph

Big data analytics aims at fluid architecture. change for future and flexible architecture.