Why Hadoop and Why not RDBMS for managing Big Data? Elaborate with suitable
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- It is more flexible in storing, processing, and managing data than traditional RDBMS.
- Unlike traditional systems, Hadoop enables multiple analytical processes on the same data at the same time.
- It supports scalability very flexibly.
- In this both structured and unstructured data is processed.
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- RDBMS finds it challenging to handle such huge data volumes.
- Also, “big data” is generated at a very high velocity.
- RDBMS lacks in high velocity because it's designed for steady data retention rather than rapid growth.
- Even if RDBMS is used to handle and store “big data,” it will turn out to be very expensive.
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