Data Wrangling with Hadoop

In course

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Description

This lecture covers data wrangling techniques using Hadoop, focusing on concepts like row versus column-oriented databases, popular HDFS storage formats, and the integration between HBase and Hive. Students will learn about Hive tables, HBase architecture, and the differences between HBase and Hive in big data processing.

Instructors (3)

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Official source

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Ontological neighbourhood

Computer engineering

Databases: Relational databases

Computer data storage: File systems

Computer networks: Search engines, Internet browsing

Mathematics

Analysis: Numerical analysis

Theoretical computer science

Programming language theory: High-level programming languages

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