Spark: Difference between revisions
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* [[Distributed_Systems#Distributed_Computation|Distributed Systems]] | * [[Distributed_Systems#Distributed_Computation|Distributed Systems]] | ||
* [[Flink]] | * [[Flink]] | ||
* [[Iceberg]] | |||
=Overview= | =Overview= | ||
Revision as of 20:58, 7 December 2021
External
- https://spark.apache.org
- https://spark.apache.org/docs/latest/index.html
- https://www.macrometa.com/event-stream-processing/spark-vs-flink
Internal
Overview
Spark is a third generation unified analytics engine for large-scale data processing. It natively supports batch processing and stream processing. Stream processing is implemented as micro-batching. It uses HDFS as state backend.
Subjects
Organizatorium
- Spark SQL
- PySpark/Spark SQL in interactive mode on JupyterHub.
- Spark batch and streaming.