How deeply does Effective Data Analysis cover database normalization?

Defines duplication reduction and contrasts normalization with denormalization, without detailing formal normal forms or dependency rules.

Database normalization

As explained in Effective Data Analysis

Database normalization is the process of organizing relational data to reduce duplication and dependency anomalies.

Database normalization organizes relational data to minimize duplication. Source systems commonly use normalized tables that store distinct information about related topics and support efficient storage. section 11.4.2

Normalization suits operational source data, but analytics often needs strategic denormalization: combining sources around cohesive topics to reduce joins and calculations. Analysts choose combinations based on recurring queries and valuable results. section 11.4.2

Key relationships include:

Normalized tables hold unique information, while foreign-key integers can reference smaller tables such as subscriptions and countries. section 11.4.2
Denormalized analytics tables can form star schemas with central fact tables connected to dimension tables. section 11.4.2

How Effective Data Analysis covers it

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Also explained in

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100 SQL Server Mistakes and How to Avoid ThemDatabase normalization is the relational database design process of structuring tables to reduce redundant data and dependency anomalies.

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Related concepts

denormalizationcontrasts with · Denormalization is the deliberate combination or duplication of related data to simplify access, support particular access patterns, or improve performance.
redundancyaddresses · Redundancy is the presence of duplicate or overlapping information, components, or resources, whether intentional or unnecessary.
schemaaddresses · A data schema is a formal specification of the structure, fields, types, relationships, and constraints of data.
databaseused by · A database is an organized collection of persistent data managed by software for storage, retrieval, querying, and modification.
data integrityaddresses · Data integrity is the property that data remains accurate, complete, consistent, and valid, with changes made only through authorized actions.
foreign keyuses · A foreign key is a column or set of columns in a relational table whose values reference a candidate key in the same or another table, establishing a relationship and supporting referential integrity.

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.