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Data is classified as big if the total size is more than 1 GB/TB/PB/EX.
A large organization with a huge amount of data uses Hadoop, Spark software, processed with the help of a large cluster of commodity hardware.
Cluster term refers to a group of systems that are connected via LAN and multiple nodes on this cluster helps in performing the jobs.
Hadoop, Spark has gained popularity worldwide in managing big data and at present, it has covered nearly 90% market of big data.
Categories of BigData: 1) Structured 2) Unstructured 3) Semi-structured  Example of BigData: 1) New York Exchange generates about 1 TB of new trade data per day.
2) Social Media:Â Statistics shows that 500+ terabytes of data get ingested into the database of social media site Facebook, every day.
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Data is classified as big if the total size is more than 1 GB/TB/PB/EX.
A large organization with a huge amount of data uses Hadoop, Spark software, processed with the help of a large cluster of commodity hardware.
Cluster term refers to a group of systems that are connected via LAN and multiple nodes on this cluster helps in performing the jobs.
Hadoop, Spark has gained popularity worldwide in managing big data and at present, it has covered nearly 90% market of big data.
Categories of BigData: 1) Structured 2) Unstructured 3) Semi-structured  Example of BigData: 1) New York Exchange generates about 1 TB of new trade data per day.
2) Social Media:Â Statistics shows that 500+ terabytes of data get ingested into the database of social media site Facebook, every day.