Duration: 2h

World's data is growing exponentially. To take control over it, companies were started using modern cluster-based solutions, currently, Map-Reduce is a "state of the art" approach for analyzing large amounts of data. This course will give you intuition into common Map-Reduce workflows and tasks. The main tool during this class will be open-source implementation of Map-Reduce - Apache Hadoop and more high-level query language Apache Pig.

• Introduction into Map-Reduce algorithm
• Common tasks for Map-Reduce
• Hadoop infrastructure
• From Hadoop to Pig
• Map-Reduce practice

Materials of the course

Tutor

Mr. Stanislav Levental

Country: Ukraine

Place of employment: Grammarly Inc., Kiev

Affiliation: Data Engineer

Spheres of interests: big data, statistics, NLP, databases

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