parsley VS Apache Spark

Or alternatively my own https://github.com/j-mie6/parsley for a more Haskell-style library - it has a wiki that discusses a lot of the main ideas, including how to deal with Def/Val/lazy val

Depends on your existing knowledge of Haskell and stuff like monads, applicatives, etc. I haven't gotten around to writing a tutorial for Parser Combinators yet (I'd actually like to write a book about them at some point) in Haskell, but I do have this wiki here ( https://github.com/j-mie6/Parsley/wiki/Guide-to-Parser-Combinators ) for my parser combinator library in Scala, that might be of some help. A Haskell version of a lot of the later material there can be found in this paper https://dl.acm.org/doi/10.1145/3471874.3472984. The paper assumes some familiarity with Parser Combinators, the wiki does not (but is written in Scala): it's the resource I use to teach my 2nd year undergrads about Parser Combinators for their compilers project. It doesn't talk about monads/applicatives at all. I'm more than happy to answer any questions you have about either of those two.

Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.

Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system

also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.

Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features.

Apache Spark - https://spark.apache.org/

A JVM based framework named "Spark", when https://spark.apache.org exists?

I recently saw a pull request that was merged to the Apache/Spark repository that apparently adds initial Python bindings for PySpark on K8s. I posted a comment to the PR asking a question about how to use spark-on-k8s in a Python Jupyter notebook, and was told to ask my question here.