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A practical guide to handling data enrichment workflows in MongoDB, using an insurance policy renewal scenario as a case study. Covers two types of concurrency: machine concurrency (using optimistic locking with status flags and inProcess indicators) and human concurrency (using pessimistic locking via a separate locks collection with TTL indexes for automatic lock expiry). Also addresses schema design patterns like the outlier and subset patterns for variable-size embedded data. Key anti-patterns include using temporary staging collections, multi-document transactions for locking, optimistic locking for human editing, and ignoring concurrency in machine enrichment.

Data Enrichment in MongoDB

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