This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that
A curated list of amazingly awesome Hadoop and Hadoop ecosystem resources
A curated list of awesome network analysis resources.
A curated list of awesome Apache Spark packages and resources.
Les fonctionnalités principales de awesome-spark/awesome-spark sont : Awesome List, Big Data, Data Engineering, Databases & Data.
Les alternatives open-source à awesome-spark/awesome-spark incluent : awesomedata/awesome-public-datasets — This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a… youngwookim/awesome-hadoop — A curated list of amazingly awesome Hadoop and Hadoop ecosystem resources. igorbarinov/awesome-data-engineering. manuzhang/awesome-streaming — a curated list of awesome streaming frameworks, applications, etc. briatte/awesome-network-analysis — A curated list of awesome network analysis resources. caesar0301/awesome-public-datasets — A topic-centric list of HQ open datasets.