The way we can process and store big data is through frameworks like Apache Cassandra, Apache Hadoop and Apache Spark. AWS (Amazon Web-Service) also offers a range of services for storage and analytics.
For example, Hadoop uses a ‘distributed file system’ that breaks up big files of data into lots of little files and stores them on different machines. Then Hadoop uses ‘map reduce technique’ to process big data; it breaks up each task into lots of little tasks, that can be done on different machines at the same time, then assembled together.
NoSQL databases are a ‘non tabular’ way of storing big data, for example, MongoDB is the most popular open-source NoSQL system that stores data in document form. Google’s Bigtable is also a way to store big data: Google uses it to power services like Gmail and Google Maps.