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650GB of Data (Delta Lake on S3). Polars vs. DuckDB vs. Daft vs. Spark
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[D] Name and describe a data processing technique you use that is not very well known.
What’s the biggest data governance challenge you face when building cross-agent pipelines?
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airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
arrow
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
pathway
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
unstructured
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
dolphinscheduler
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
seatunnel
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.