The Hugo evolution: Engineering Grab's unified, one-click data ingestion platform with Apache Flink | Endigest
Grab
Tags:Database
Hugo
FlinkSQL
Engineering
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Hugo unifies Grab's data ingestion workflows with Apache Flink, consolidating previously siloed platforms into a single self-service interface.
- •Replaces Kafka Connect, Sprinkler, and Spark with Flink-powered one-click MySQL CDC pipelines, reducing component footprint from 4 to 2
- •Automates schema detection and dynamic validation, eliminating manual Go DTOs and brittle schema management
- •Eliminates intermediary Kafka hop by reading MySQL binlog directly and pushing to Hive tables with integrated Spark compaction
- •Shifts Kafka ingestion from hardcoded Protobuf-to-Avro mappings to dynamic runtime schema fetching from Confluent Schema Registry
- •Reduces onboarding time dramatically: Kafka pipelines in 6 minutes, MySQL CDC pipelines in 3 minutes
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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