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Apache Spark

Data
Adopt

Apache Spark is an open-source, distributed computing system designed for fast processing of large-scale data. It provides an in-memory data processing framework, which significantly improves the speed of data operations compared to traditional disk-based systems like Hadoop. Spark supports various big data tasks, including batch processing, real-time data streaming, machine learning, graph processing, and SQL-based queries. Its scalability and flexibility make it ideal for handling complex data workflows in data engineering, analytics, and AI development. Spark is known for its ease of use with APIs available in languages like Python, Java, Scala, and R.