Big Data has generally been characterized by four attributes: volume, variety, velocity, and veracity.
These four dimensions of Big Data pose challenges and also create opportunities while handling large volumes of data:
Volume: Huge amounts of data generated daily may include information from social media, IoT devices, and all kinds of transactions.
Variety: Includes the different types of data such as structured, unstructured, and semi-structured emanating from a myriad of sources.
Velocity: Refers to the high speed at which data is generated, processed, and analyzed in real time.
Veracity: Concerns the credibility, precision, and quality of the data.
These characteristics underline the need for advanced data processing, storage, and analytics solutions—like cloud computing, artificial intelligence, and machine learning—to extract meaningful value from big data.
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LiviT
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