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This course introduces students to the field of big data processing, its underlying technologies, managing the inter-relation of components in a system at scale, and the construction of analytical pipelines that provide business value. Key technologies explored in this course will include NoSQL databases, Hadoop ecosystems, distributed processing frameworks like Apache Spark, data warehousing solutions such as Hive, and streaming platforms like Kafka. Emphasis will be placed on understanding the architectural design and operational challenges of big data ecosystems. Prior knowledge of databases or parallel computing recommended but not required.