Big Data
A curated list of awesome big data frameworks, resources, and tools across various categories.
What is Big Data?
Awesome Big Data is a curated GitHub repository that aggregates and categorizes hundreds of open-source frameworks, databases, and tools for big data processing and analytics. It serves as a reference guide for developers and data engineers navigating the complex landscape of distributed systems, data storage, and processing technologies. The list covers categories like distributed programming, data ingestion, machine learning, and time-series databases.
Data engineers, software developers, architects, and researchers who need to discover, evaluate, or stay updated on big data technologies and frameworks. It's particularly useful for those building or maintaining data pipelines, analytics platforms, or distributed systems.
It saves significant research time by providing a single, community-vetted source for big data tools, reducing the need to scour multiple websites or documentation. The categorization and concise descriptions help users quickly identify suitable technologies for their specific use cases.
Overview
A curated list of awesome big data frameworks, ressources and other awesomeness.
Use Cases
Best For
- Discovering new big data frameworks and databases for a project
Related Projects
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