DEFINITION
Big data processing is a reliable approach to process and derive genuine information through multiple stages such as collecting, structuring, and analysing the data. This data has large amounts of information, complex information or high volumes of data that can not be practically processed by conventional data processing. Technologies such as distributed computing, cloud computing, data pipelines and parallel processing are used to provide efficient methods of processing data to make informed decisions.
Why Big data processing is important
- Analysing data faster.
- Businesses can easily use specific and comprehensive insights.
- Scales easily.
- Powering AI through data testing, training, and enhancing the AI ecosystem.
Use cases
- Customer behaviour analysis across various e-commerce sites.
- Preparing large data sets for use in machine learning and generative AI.
- Processing data from various IoT sensors precisely.
- Finding anomalies within financial data and logs.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.
