About
AI-powered unified analytics engine. Large-scale data processing and ML.
Features
- In-memory cluster computing (Resilient Distributed Datasets) for iterative algorithms.
- Spark SQL with Catalyst query optimizer for ANSI SQL queries up to 100x faster than Hive.
- MLlib: distributed machine learning library with 50+ algorithms and pipeline APIs.
- Structured Streaming for exactly-once, micro-batch stream processing with Kafka integration.
- GraphX for graph-parallel computation (PageRank, connected components) on trillion-edge graphs.
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4.1
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