Two Beam Python pipelines compute average word length from a Kafka topic, one emitting a global average and one using a sliding time window.

Set up a local Apache Flink and Kafka environment, then build two Beam Python streaming pipelines for top K frequent words and longest word length.

Deploy an Apache Beam Python pipeline to a Flink session cluster on minikube, packaged as a Docker image and submitted as a Kubernetes job.

Deploy a PyFlink application to minikube with the Flink Kubernetes Operator, alongside a Kafka cluster that provides its source and sink topics.

Unit test batch and streaming Apache Beam pipelines in Python, using TestStream to advance watermarks and processing time across scenarios.

A streaming Apache Beam pipeline in Python that aggregates page visits by user in fixed 20 second windows, written with and without Beam SQL.

The Apache Beam portability layer explained, with bash scripts that manage local Flink and Kafka clusters and a streaming pipeline on the Flink Runner.

Batch Apache Beam pipelines in Python that aggregate website visit logs by user and time, written with and without Beam SQL and run in notebooks.

Run a basic Apache Beam pipeline in Python, then develop interactively in Jupyter notebooks with Beam SQL and Beam DataFrames examples.

Orchestrate the Amazon Athena and Iceberg pizza shop dbt project with Apache Airflow, running the dimension and denormalised fact table builds.