🔠Data Types

NEW

Also known as: Primitive Types

Formal classification of values defining representation, allowed operations, and storage, such as integers, floats, strings, booleans, and dates.

DESCRIPTION

Data types constrain values and operations, enabling correctness, efficiency, and interoperability across systems. Programming languages and databases provide primitive and composite types, with typing disciplines like static or dynamic, strong or weak. Schemas in JSON and SQL enforce types for data exchange and storage. Careful choice of types affects precision, performance, and compatibility. Documentation of type semantics and nullability avoids integration errors.

ALTERNATIVE DEFINITIONS

Wikipedia

In computer science and computer programming, a data type is an attribute of data which tells the compiler or interpreter how the programmer intends to use the data.

Connects data types to compiler/interpreter behavior and usage intent.

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Oracle

Every column in a table has a data type. A data type specifies a set of values and the operations permitted on those values.

Database-oriented definition emphasizing domains and operations.

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PostgreSQL

PostgreSQL has a rich set of built-in data types available to users.

Catalog-style statement highlighting breadth of supported types.

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RELATED TERMS

Data Schema JSON Schema SQL Types Strong Typing Weak Typing Serialization Nullability SQL Casting Validation Feature Scaling Model Data

COMPETING TERMS

Static Typing Dynamic Typing

KNOWLEDGE AREAS

Programming Languages Data Modeling Data Storage & Operations Software Engineering Data Engineering Metadata Management

TARGET AUDIENCE

Software Developer Data Engineer Data Modeler Data Architect Analytics Engineer BI Specialist

EXTERNAL SOURCES

• Wikipedia - Data type
• JSON Schema - Type validation specification
• Oracle - SQL data types reference
• PostgreSQL - PostgreSQL data types guide
• Microsoft - T-SQL data types list

TOP QUESTIONS

Why do Data Types matter?

They enforce correctness, optimize storage, and define valid operations, preventing errors and improving performance.

Category: Relevancy

What is the difference between static and dynamic typing?

Static typing checks types at compile-time; dynamic typing checks at runtime, each with trade-offs in safety and flexibility.

Category: Opinion

How do databases use Data Types?

Schemas define column types, ensuring domain constraints, efficient storage, and correct query behavior.

Category: Example

What are common mistakes with Data Types?

Using overly broad types, ignoring precision, and mishandling nulls cause bugs and data quality issues.

Category: Mistakes

What risks arise from type mismatches across systems?

Data loss, truncation, and parsing errors occur; consistent schemas and contracts mitigate risk.

Category: Risks

How to choose numeric types?

Consider range and precision; use integers for counts and decimals for currency to avoid rounding errors.

Category: Requirements

What is nullability and why is it important?

It specifies whether a type can be null; incorrect handling leads to exceptions and inconsistent datasets.

Category: Example

How do serialization formats affect Data Types?

Formats like JSON, Avro, and Protobuf encode types differently; choose one matching schema needs and compatibility.

Category: Overview

Where to learn more about Data Types?

Consult language and database documentation, and standards like JSON Schema for validation.

Category: Learning