Various data types may need to be stored and managed together in big data systems. In addition, big data applications often include multiple data sets that may not be integrated upfront. For example, a big data analytics project may attempt to forecast sales of a product by correlating data on past sales, returns, online reviews and customer service calls.
Following are the types of Big Data:
- Structured
- Unstructured
- Semi-structured
Structured data, such as transactions and financial records.
Unstructured data, such as text, documents and multimedia files.
Semi structured data, such as web server logs and streaming data from sensors.
