Data Architecture

A robust and well-designed data architecture is at the core of every successful data-driven organization. Mosaic Data Science’s experienced team specializes in crafting data architectures that lay the groundwork for efficient data collection, storage, processing, and analysis. Whether you want to establish a scalable data infrastructure or optimize your existing setup, we tailor solutions to meet your unique needs.

Data Debt

Data debt occurs when data is improperly handled at the technical level with the intention of postponing certain costs, even though the postponed costs will be higher, or the postponed benefits will be lower. The remainder of this document describes some important types of data debt.

By Drew Clancy, ago

Data Architecture 101, Part 3: Dimensions

Data marts, data warehouses, and some operational datastores use dimension tables. A dimension table categorizes a fact table that joins to the dimension. At query time one filters the facts by values in the dimension table, and uses those values to label the query results

By Drew Clancy, ago
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