Big Data
Big data processing involves handling datasets that are too large or complex for traditional data processing tools, requiring distributed computing solutions.
Overview
Big data processing focuses on handling datasets that exceed the capacity of traditional database systems. Big data requires distributed computing and specialized tools.
Big data technologies enable processing of petabytes of data across clusters of computers, enabling analysis of massive datasets.
Key Technologies
Key Concepts
Distributed Computing
Process data across clusters of computers to handle large-scale datasets.
Data Lakes
Store vast amounts of raw data in data lakes for flexible analysis and processing.
Stream Processing
Process data streams in real-time as data arrives rather than in batches.
Scalability
Design systems that can scale horizontally to handle growing data volumes.