DataLane

All stacks · Operational data stores

MongoDB

Document sources, change streams, and how they land in the warehouse.

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About MongoDB

MongoDB shows up as a source: document-shaped operational data, change streams, and a schema that “does not exist” until it breaks your warehouse model. The DE job is CDC, flattening, and not copying BSON blobs into gold.

What you'll learn here

  • Change streams vs dump-and-load
  • Nested documents to typed silver tables
  • When the document model is the product vs when it is an accident
  • Indexes and why a warehouse scan is not a Mongo query plan

Frequently asked questions

Should I warehouse raw Mongo documents?

Land raw, yes. Serve raw, no. Flatten to a declared grain in silver. Nested arrays that become facts are how revenue double-counts.

Mongo change streams or Debezium?

Change streams are native; Debezium has a Mongo connector. Pick the one your platform already operates and can alert on lag.

Is Mongo the serving layer for analytics?

Rarely. It is a product database. Analytics belong in a columnar store. Dual-purpose Mongo as the warehouse is how you buy a bigger Atlas tier.

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