Bigdata requires having many mechanisms, and techniques to process data at very large scale with efficiency. This course aims to provide student knowledge related to bigdata storage, NoSQL, NewSQL databases, principles of parallel and distributed data processing, batch and streaming processing, and complex event processing.
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Bigdata requires having many mechanisms, and techniques to process data at very large scale with efficiency. This course aims to provide student knowledge related to bigdata storage, NoSQL, NewSQL databases, principles of parallel and distributed data processing, batch and streaming processing, and complex event processing. Besides, students also are introduced bigdata processing on Hadoop – MapReduce and Spark technologies. After this course, students have the ability of understanding, selecting, deploying, and manipulating storage, processing solutions based on achieved knowledge for practical bigdata problem.