Скачать или смотреть What is Apache Spark?

Industries use Hadoop to analyze large datasets, thanks to its scalable, flexible, and fault-tolerant framework. Apache Spark was introduced to speed up data processing in Hadoop environments. Spark extends the MapReduce model, enabling interactive queries and stream processing. It supports a wide range of workloads, including batch, iterative algorithms, and streaming, simplifying management. Spark runs applications up to 100 times faster in memory than traditional Hadoop. Key components include Spark Core, Spark SQL, Spark Streaming, MLlib for machine learning, and GraphX for graph processing, making Spark a powerful tool for big data analytics.