#Dataflow
Google Cloud Dataflow runs Apache Beam pipelines for batch and streaming data processing. Posts cover Dataflow integration in database migration pipelines and the patterns for building reliable data transformation workflows at scale.
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A bulk migration takes hours; the application can't be offline that long. CDC keeps the source and destination in sync while the bulk runs, and a quick cutover swaps traffic. The handoff between bulk and CDC is where most migrations go wrong.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.