Build a Big Data Processing Pipeline — System Design Interview Practice
Design a batch and streaming data pipeline that processes data transformations, handles both real-time and batch workloads, and stores results for analytics. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Ingest data from various sourcesRequirement
- Process batch and streaming dataRequirement
- Transform and enrich dataRequirement
- Load data into data warehouseRequirement
- Handle late data and watermarksRequirement
- Implement windowing strategiesRequirement
- Monitor pipeline performanceRequirement
- Handle pipeline failuresRequirement
- gcpConcept to explore
- dataflowConcept to explore
- pub subConcept to explore
- bigqueryConcept to explore
- big dataConcept to explore
- streamingConcept to explore