Breaking data into smaller chunks so multiple nodes can work in parallel.
Processes real-time data streams to provide low-latency updates. It compensates for the batch layer's lag but may sacrifice some accuracy for speed. Big Data: Principles and best practices of scal...
Storing copies of data across different nodes to ensure the system stays online even if a server fails. 4. Eventual Consistency Breaking data into smaller chunks so multiple nodes
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