Lecture

Big Data: Processing and Dimensions

Description

This lecture covers the generation, storage, and processing of Big Data, exploring its historical background, production methods, and dimensions such as volume, velocity, variety, and veracity. It also delves into the challenges of structured vs. unstructured data, the anatomy of social media posts, and issues related to data analytics and heterogeneity. Additionally, it discusses the concepts of elasticity in cloud computing, data center economies of scale, and cloud security and privacy concerns.

Official source

https://mediaspace.epfl.ch/media/0_vfs0w513

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Computer engineering

Computer security: Privacy

Business

Business administration: Data management

Information engineering

Data science: Topics in data science

Related lectures (57)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.