DataFlow Operator Simplifies Lakehouse ETL Pipelines on Kubernetes

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DataFlow Operator is a Kubernetes-native tool that lets engineers declare data ingestion pipelines as custom resources, replacing heavier stacks like Airflow and Spark for common ingest tasks. It supports streaming and batch modes through two resource types — DataFlow for continuous deployments and DataFlowCron for scheduled jobs. The operator handles pod lifecycle, checkpoints, restarts, and secrets, while writing data into Apache Iceberg tables via REST or Nessie catalogs. Lightweight in-flight transformations such as field masking, flattening, and timestamp injection are supported through a built-in JSONPath-based transform chain. Heavier compute workloads like Spark or dbt remain outside the operator and can be triggered as post-load steps after data lands in the lakehouse.

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DEV Tutorial Shows How to Build Async Web Forms Without Page Reloads

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ProgrammingDEV Community ·

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ProgrammingHacker News ·

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ProgrammingDEV Community ·

How a Developer Fixed Soft 404 and Duplicate Page Errors in Google Search Console

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