Big data refers to huge collections of data that are difficult to process, analyze, and manage using conventional data tools. It is a core component of the platform, which also includes cloud computing. devices, and social networking. The five Vs of big data are high volume, high diversified variety, unknown veracity, and low value. Although SQL and relational databases can be used for big datasets, a collection of alternative tools referred to as has become popular. These tools work well when databases scale $($horizontally$)$ and when databases are broken into subsets called Modern database tools also handle scaling as devices are added when additional capacity is required. NOSQL tools are sometimes said to create databases, but they usually have some type of structure, though it may be more flexible than the relational model. A keydata model provides each data element with a key. A$($n$)-$oriented data model makes it easy to access data stored in similar fields, rather than in individual records. Two very popular NOSQL tools include which is a big data file system, and which sends processing logic to the data, rather than bringing the data to the computer that performs the processing.