3 items with this tag.
A Spark session is the entry point to programming with Apache Spark, allowing users to create DataFrame and Dataset objects, manage Spark configurations, and access Spark's capabilities for distributed data processing.
A web-based interface that provides insights into the performance and execution of Apache Spark applications, allowing users to monitor jobs, stages, and tasks in real-time.
A Spark DataFrame is a distributed collection of data organized into named columns, similar to a table in a relational database or a data frame in R or Python's pandas library.