Why “Schemaless” Databases Still Depend on Structure
The term “schemaless” is widely misunderstood. If you’ve ever set up a MongoDB collection or a DynamoDB table for the first time, you might think, “there’s no migrations, no common...
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The term “schemaless” is widely misunderstood. If you’ve ever set up a MongoDB collection or a DynamoDB table for the first time, you might think, “there’s no migrations, no common...
In Blog 5, we built a SQL parser. It can take this: INSERT INTO payments VALUES (500, payment_1, pending, 1) and turn it into a struct: InsertIntoTable{ TableName:...
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Anyone who has tried to build a small, realistic test database from a production schema knows the drill: you don't just want "all orders." You want a customer's orders, their order...
If there’s one place where apps quietly fall apart, it’s the data layer.Continue reading on Medium »
A practical guide to Bronze, Silver and Gold, with a working Python and DuckDB example The post The Medallion Data Architecture: An Introduction appeared first on Towards Data Scie...
Dimensions are one of the two main object types in dimensional modelling. But what are the different types of dimensions? And how can you use them? The post The Types of Dimensions...
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