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Covers big data concepts, the V's of big data, distributed computing principles, and architectural patterns.
Covers ingesting data from various sources, data lake design, and storage technologies.
Covers batch and stream processing frameworks, ETL/ELT pipelines, and data transformation techniques.
Covers NoSQL database types, use cases, and distributed database management.
Covers big data services on AWS, Azure, and Google Cloud Platform.
Covers securing big data environments, data quality governance, and performance optimization.
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