Processes massive datasets using a distributed computing framework for batch and streaming workloads. Provides high-level APIs in Java, Scala, Python, and R for complex data engineering.
Tech Stack
ScalaAI, ML & Data
Why spark?
• Massive scalability
• Multi-language support
• Unified engine
Limitations
• High memory usage
• Complex configuration
• Steep learning curve
3/5/2026
Last Update
29,089
Forks
248
Issues
Apache-2.0
License
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