Data Integrity Demystified

Overview

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Explore the concept of data integrity in this comprehensive conference talk from PASS Data Community Summit. Delve into the fundamental aspects of database design that enforce data integrity, from table structure to specific elements like data types and constraints. Understand the distinction between objects supporting data integrity and those enhancing database performance. Gain insights into implementing and enforcing data integrity in databases, and discover its crucial role in maintaining meaningful data. Learn about various types of integrity, including primary key constraints, surrogate primary keys, unique key constraints, and foreign key constraints. Examine how naming conventions, data types, NOT NULL constraints, default constraints, and check constraints contribute to data integrity. Investigate the role of clustered indexes in integrity and performance, and explore how the query optimizer utilizes integrity. By the end of this session, acquire a thorough understanding of data integrity concepts and their practical application in database management.

Syllabus

Intro
Session Evaluation
Data Integrity
What Does It Mean???
Why Does This Matter?
Data Storage & Data Engines
How Do Data Storage & Data Engine Create Integrity?
Naming Convention Examples
How Do Naming Conventions Create Integrity?
Different Types of Integrity
How Does Relational Database Design Create Integrity?
Primary key Constraint
Tip: Identify the Primary key Column(s)
How do Surrogate Primary Keys Create Integrity?
Unique Key Constraint
Foreign Key Constraint
Foreign Key Example
How Do Data Types Create Integrity?
How Does NOT NULL Create Integrity?
How Do Default Constraint Create Integrity?
How Do Check Constraints Create Integrity?
Clustered index: Integrity or Performance
Integrity Used By the Query Optimizer