Lecture
Data Stream Processing: Management and Challenges
Related lectures (11)
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Data Stream Processing: Apache Kafka and Spark
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General Introduction to Big Data
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Advanced Data Stream Processing Concepts
Explores advanced data stream processing concepts, including Kafka, Spark stream, joins, and route planning models.
Introduction to Data Stream Processing
Introduces data stream processing, covering batch vs stream processing, real-time insights, applications, challenges, and tools like Apache Kafka and Spark Streaming.
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Big Data Best Practices and Guidelines
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