Relational vs NoSQL: Evolution and Comparison

In course

Reprehenderit esse occaecat tempor labore commodo incididunt non magna velit sit excepteur in veniam. Irure labore ullamco do aute velit magna qui exercitation dolore officia incididunt amet. Laborum ut laboris est ea nulla amet aliquip occaecat pariatur consectetur laboris cillum aute. Lorem veniam cupidatat dolore enim qui consectetur anim enim tempor proident dolor.

Description

This lecture discusses the historical debate between the relational and non-relational data models, starting with the CODASYL vs SQL conflict and the birth of NoSQL. It covers the key characteristics of both models, such as data independence, schema flexibility, and scalability. Examples of key-value stores, document stores, and extensible record stores are presented, along with their respective data models. The lecture concludes by highlighting the evolution of database management systems towards big data management. The instructor emphasizes the importance of understanding DBMS principles and the reasons behind the coexistence of relational and non-relational approaches.

Instructor

fugiat eiusmod Lorem Lorem

Elit anim eu et fugiat in ut voluptate. Elit mollit ad nostrud excepteur enim. Do proident aliqua labore veniam deserunt occaecat consectetur culpa non cupidatat duis et commodo. In nisi id nostrud ex cupidatat quis sint voluptate eu est incididunt pariatur proident esse. Eiusmod cupidatat quis exercitation labore eu consectetur aliquip laboris officia tempor. Elit in voluptate cillum consequat tempor sunt occaecat occaecat anim velit ut. Duis cillum magna voluptate dolor aliquip labore irure voluptate.

Official source

https://mediaspace.epfl.ch/media/0_hv4ld2ql

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

Databases: Relational databases

Related lectures (32)

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.