Webcast : ER/Studio Enterprise Team Edition

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that data remains unaltered and complete when it is stored, retrieved, or transferred between systems, and that it maintains its original quality and correctness. Data integrity is important for several reasons:

• Decision-making: High-quality, accurate data is essential for making informed decisions in organizations. Data integrity ensures that decision-makers can trust the information they use, leading to better outcomes and minimizing risks.
• Regulatory compliance: Many industries, such as finance, healthcare, and pharmaceuticals, have strict regulations governing data management. Ensure data integrity is crucial for complying with these regulations and avoiding legal and financial penalties.
• Operational efficiency: Data integrity helps organizations maintain consistent and reliable data across systems, reducing the time and resources spent on identifying and correcting data errors. This improves operational efficiency and allows organizations to focus on their core business functions.
• Data security: Ensuring data integrity also involves protecting data from unauthorized access, alteration, or deletion. Robust data security measures, such as access controls and encryption, contribute to maintaining data integrity and safeguarding sensitive information.
• Customer trust: Maintaining data integrity is essential for building and maintaining customer trust. When customers know their personal information is accurate and secure, they are more likely to continue using the products or services of an organization.

When we talk about “knowing our data,” we don’t seem to refer to the term “data integrity” anymore as part of that conversation. After all, that phrase can be very intimidating. But at its heart, it’s very simple – guaranteeing our data has meaning. The good news is much of what we already do creates data integrity in our databases. In this session, we will explore how the basic constructs in our database design enforce data integrity. We will look at this from table design down through details, like data types and constraints. Additionally, we will discuss the difference between objects that support data integrity and those that support database performance. At the end of the session, you will have a better understanding of what data integrity is, how to implement and enforce it in your databases, and why it is so important for our data.

Speaker: Deborah Melkin has been working as a database professional with SQL Server for almost 20 years. She spends her days helping programmers with all aspects of database design, queries, performance, and deployment. In 2016, she began her blog, Deb the DBA. Soon after that, she began speaking at SQL Saturdays and user groups. Deborah is a board member of the New England SQL Server User group (NESQL) and was recently named as an IDERA ACE Class of 2020-2021. She also won Speaker Idol at PASS Summit 2019. In her spare time, Deborah can usually be found doing something musical.