Hadoop is a distributed data management platform or open source recovery framework used to store and process big data. Sometimes it can also be described as a reduced distributed operating system. It is designed to manage and work with large volumes of data and to perform linear scaling to large clusters of thousands of trading computers. First, Yahoo! It was developed for, but is currently free through the Apache Software Foundation and is open to everyone, but usually requires the use of extensive programming knowledge.
Reverse ETL is a data integration method in which traditional ETL (Extract, Transform, Load) processes reverse.
RAG is an artificial intelligence technique that optimizes the output quality of major language models. The system references authoritative databases other than the model's training data before generating responses.
Data Latency is the ability to load and update data in near-real time, while supporting query workloads at the same time.
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