Test data for a streaming pipeline, from a settings file rather than a program: a plain YAML file describes a simulation, and one command runs it and sends its events to Kafka, PostgreSQL, Parquet or Iceberg.
Keeping top 10 leaderboards up to date as game scores arrive: four Flink SQL jobs read the scores from Kafka and keep the rankings in PostgreSQL, and a web dashboard shows them as they change.
Capturing every insert and update in PostgreSQL without changing the application: Debezium streams the changes to Kafka, and an S3 sink connector saves them as files.
Generating test data that changes while it runs: SimPy simulations written with a declarative API that read settings from and write events to PostgreSQL and Redis.
FastAPI and NiceGUI served from one Python process give a backend API and a web UI in a single codebase, compared here with React and with Streamlit.
A Python generator loads theLook eCommerce data into PostgreSQL, and a FastAPI WebSocket server queries it on a timer to serve live dashboards.
Debezium Server streams PostgreSQL row changes into the Google Pub/Sub emulator, with Docker Compose, a theLook data generator and a Python reader.
Orchestrate the PostgreSQL pizza shop dbt project with Apache Airflow, scheduling the SCD type 2 dimension and fact table builds as an ETL process.
Model fictional pizza shop data on PostgreSQL with dbt, building two SCD type 2 dimension tables and one transactional fact table.
Manage AWS development infrastructure with Terraform, creating an Aurora PostgreSQL cluster in a private subnet reached over SoftEther VPN.