spark — Apache Spark is a unified analytics engine designed for large-scale data processing, offering high-level APIs and an optimized engine for general computation graphs.

Apache Spark is a unified analytics engine designed for large-scale data processing, offering high-level APIs and an optimized engine for general computation graphs.

About this project

Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, and Python, supporting an optimized engine for data analysis computation graphs. Key components and tools include: - Spark SQL: For SQL and DataFrames. - pandas API on Spark: For pandas-based workloads. - MLlib: A library for machine learning. - GraphX: For graph processing. - Structured Streaming: For stream processing. Spark is built using Apache Maven and supports various deployment modes, including local execution, YARN, and Kubernetes. It integrates with Hadoop core libraries to interact with HDFS and other Hadoop-supported storage systems.