[{"data":1,"prerenderedAt":12},["ShallowReactive",2],{"stack-tr-en-apache-spark":3},{"tagline":4,"description":5,"strengths":6,"useCase":11},"The distributed analytics engine for processing terabytes.","Spark processes massive data volumes in-memory across a distributed cluster. Its APIs (DataFrame, SQL, Streaming, MLlib) cover batch, stream and machine learning. Coupled with Delta Lake, it's the foundation of modern lakehouses.",[7,8,9,10],"In-memory distributed processing: orders of magnitude vs Hadoop.","Python, Scala, SQL, R APIs: heterogeneous teams accommodated.","Structured Streaming for near-real-time processing.","Databricks, EMR, Dataproc: managed across three clouds.","Large-volume ETL, lakehouse, distributed ML training.",1792675976918]