How to sync changing data when a source has no native CDC: timestamp and version columns, SQL to find changes, MERGE, and scheduled incremental batches.
How virtualization, a lakehouse, and data mesh ideas combine into one point of access with data curated by many domain teams, and where Dremio fits.
A hands-on guide to building data apps with Streamlit in a Python data science Docker image, covering widgets, layout, session state, caching, and deploys.
How docker-compose.yml works: defining services, networks, and volumes, setting dependencies, and managing environment variables with .env files.
