Curated resources on data ingestion patterns: ETL vs. ELT, modern ingestion tools, and choosing the right pattern for your data stack.
A clear, vendor-neutral explanation of when each pattern applies. Good starting point for understanding the trade-offs.
The best modern Python-native ingestion library. Schema inference, incremental loading, and dozens of built-in sources. Use this before building custom connectors.
300+ pre-built connectors, open-source with a cloud option. The right choice when you need a managed connector catalog without a Fivetran budget.
Chapter 7 covers ingestion in depth, including batch vs. stream, push vs. pull, and change data capture. The best textbook treatment of the topic.
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New resources and perspective on building AI-ready data systems, a few times a month. No spam.