Big data technology refers to the tools, techniques, and frameworks used to handle and process large and complex datasets that traditional data processing applications cannot easily manage.

You might now be asking, if Big Data poses so many risks, why is it such a widespread obsession?

Indeed, the appropriate response lies in the advantages it gives. These are some actual ways in which people use Big Data:

• Netflix gathers client conduct data from its more than 100 million clients. This data helps Netflix in understanding what each individual client needs to see. 
• In light of the study, it suggests films and TV shows which the watcher will very much want to watch. Subsequently, the client is glad since he is getting what he prefers without looking for it, and Netflix is cheerful on the grounds that it has enchanted its clients which will bring about higher client maintenance. 

Big Data has many various applications in many various fields. Be it banking, correspondence, medical services, media, promoting, fabricating, transportation, retail. Big information can be utilized all over the place, and subsequently an ever-increasing number of organizations are attempting to saddle its force. 

Three V’s of Big Data Technology

Big Data is frequently portrayed utilizing the three V’s of Volume, Velocity and Variety. 

• Here Volume presents both the best test, and the best chance as big data could assist numerous associations with understanding individuals better and to allot assets even more successfully. 
• Big Data Velocity likewise raises a few issues with the rate at which data is streaming into numerous associations presently surpassing the limit of their IT frameworks.Moreover, clients are increasingly requesting data streamed to them in real-time, which can pose a significant challenge to deliver.
• Variety include organized, semi-structured, and unstructured sources. Traditional databases design for structured data, but big data technologies must handle a wide range of formats, including text, audio, video, clickstreams, and log files.

Big data technology continues to evolve rapidly, driven by the need to process ever-increasing volumes of data from diverse sources efficiently. The ecosystem is diverse, with numerous open-source and commercial solutions catering to different aspects of big data processing, storage, analysis, and management.