Data Systems⚪New

🌳 The Data Pipeline

Integrate disparate systems by deriving new datasets from a source of truth via Batch and Stream processing.

⬇️ Foundation

The UNIX Pipe (Input -> Transform -> Output)

A programming model for processing large datasets with a parallel, distributed algorithm.

Processing unbounded data as it arrives (event-driven), rather than in fixed-size batches.

Batch processing engines that optimize workflows by keeping intermediate state in memory rather than writing to disk.

Composing disparate systems (OLTP, Cache, Search) into a coherent whole using Change Data Capture.

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🤔 Reflection:

"Design a Lambda Architecture where MapReduce handles historical data and Stream Processing handles real-time events."