CP 422
Programming for Big Data
Lec A selected
The course covers foundational approaches to storing and working with big data using statistical analysis, machine learning methods, and core distributed and parallel data processing principles. Students explore frameworks and tools such as MapReduce, Hadoop, Spark, Spark Streaming, Pig Latin, and Hive for handling large datasets. Students will also explore NoSQL databases such as HBase, Cassandra, and MongoDB. <br> <br><font color="crimson">
Sections
Lecture
Lec A
Mon, Wed, Fri 10:30-11:20
Syllabus
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