Connect batch and streaming ingestion to Spark processing, lakehouse storage and analytical consumption.
Modern data platforms converge batch and streaming into governed storage. Spark sits inside a wider control plane: orchestration, table formats, query engines and observability all influence production behavior.
Spark is part of a platform, not the entire platform.
Table format and query-engine choices affect operational design.
Orchestration and observability belong in the architecture.
DB • files • events
Ingestion
Batch + streaming
Lakehouse tables
Consumption
Schedule • SLA • metrics
The diagram is intentionally architectural rather than vendor-specific. Use it as a mental model, then map the components to the actual environment.
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