Lecture

General Introduction to Big Data

In course

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Description

This lecture provides a comprehensive overview of big data, covering topics such as data science tools like Python, collaborative data science, data wrangling with Hadoop, Spark runtime architecture, and data lake ecosystems. It delves into the challenges of big data, the CAP theorem of distributed data stores, and the decision between batch and stream processing. The lecture also explores technologies like Hadoop Distributed File System (HDFS), Hive data warehouse, and popular storage formats like Parquet and ORC. Additionally, it discusses the MapReduce architecture with YARN, typical big data architectures, and the evolution of the big data landscape.

Instructors (3)

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Official source

https://mediaspace.epfl.ch/media/0_ceyi81as

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Ontological neighbourhood

Computer engineering

Computer data storage: File systems, Topics in computer data storage

High-performance computing: Distributed computing, Parallel computing

Mathematics

Mathematical logic: Set theory

Analysis: Functional analysis

Information engineering

Data science: Topics in data science

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