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Covers data stream processing with Apache Kafka and Spark, including event time vs processing time, stream processing operations, and stream-stream joins.
Covers the exponential growth of data, challenges in processing technology, data variety, cleaning, approximate query processing, multi-query analytics, and hybrid transaction processing.
Explores challenges and innovations in database systems, emphasizing the need for efficient data management and adapting to modern hardware advancements.
