BIG DATA & HADOOP A HUGE STARAGE
Vijaya Sayaji Chavan
Abstract
Vijaya Sayaji Chavan
Abstract
Big data is a very large volume of structured and unstructured data. An example of big data is petabytes i.e.1,024 terabytes or Exabyte. 1,024 petabytes of data consist of billions to trillions of data of millions of people. Its a process of collecting and processing the huge amount of data. Big companies are using mostly big data for specific surveys. Hadoop is a platform provided that is used for big data. Hadoop stores massive amount of data that have massive power and can process multiple things at a single time. Hadoop Files are called as HDFS. Big data is data that contains large amount in increasing volumes and higher velocity. Hadoop is used to store large amounts of data. Big data consist of very larger, and more complex data sets. These data sets are so large so difficult manage but it is used to solve business problems
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Big data is a very large volume of structured and unstructured data. An example of big data is petabytes i.e.1,024 terabytes or Exabyte. 1,024 petabytes of data consist of billions to trillions of data of millions of people. Its a process of collecting and processing the huge amount of data. Big companies are using mostly big data for specific surveys. Hadoop is a platform provided that is used for big data. Hadoop stores massive amount of data that have massive power and can process multiple things at a single time. Hadoop Files are called as HDFS. Big data is data that contains large amount in increasing volumes and higher velocity. Hadoop is used to store large amounts of data. Big data consist of very larger, and more complex data sets. These data sets are so large so difficult manage but it is used to solve business problems
Key concepts: Petabyte, Big data, Terabyte, Computer science, Volume (thermodynamics), Process (computing), Database, Data mining