Big data in DBMS refers to the management and analysis of large, complex data sets that are too voluminous to be processed by traditional data processing systems. Big data is characterized by the three Vs: volume, variety, and velocity.

• Volume: Big data sets are so large that traditional data processing systems cannot handle them. They can range from terabytes to petabytes in size.

• Variety: Big data sets can come in many different forms, including structured, semi-structured, and unstructured data. This can include data from social media, sensors, and other sources.

• Velocity: Big data sets are generated and processed at high speeds, often in real-time. This can include data from social media, sensors, and other sources.

Big data in DBMS is important because it allows organizations to gain insights from large, complex data sets that were previously too difficult to analyze. By analyzing big data, organizations can make better decisions, improve operational efficiencies, and drive new revenue and growth opportunities. Big data can be stored in computer databases and analyzed using software specifically designed to handle large, complex data sets.