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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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database integrity

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "database integrity" is correct and usable in written English.
It is typically used in the context of data management and refers to the accuracy and consistency of data stored in a database. Example: "Ensuring database integrity is crucial for maintaining reliable information in our systems."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

6 human-written examples

Defining mechanisms that preserve database integrity despite malicious clients is out of the scope of this work.

In this paper, a sound and complete algorithm is proposed for checking the satisfiability of a specific class of database integrity constraints in a simplified object-oriented model.

Considering the analysis of this data and its corresponding relationships, it is advantageous in two points: first, the analysis will be the result of substantial improvement of the speed when the tables are queried; second, it decreases the chance of the database integrity compromised due to tedious maintenance procedures.

The importance of database integrity has long been recognized by computer scientists [80 83], and several tools are available to monitor and correct inconsistencies from the technical point of view, in terms of reliability of storing and retrieving data [55 60].

It also enables readers to understand the mandate and expertise of those responsible for overseeing participant safety, study design, database integrity, and study conduct.

There are mechanisms for maintaining the database integrity, for example deletion of a data set results in removal of all its intersections.

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

It introduces the topics of Database Design; Integrity Constraints I: Candidate Keys and Related Constraints; Integrity Constraints II: General Constraints; Database Queries; Database Updates; Stated Times and Logged Times; Point and Interval Types Revisited.

Microsoft designed the Store to meet the ACID (atomicity, consistency, isolation, and durability) test for database transaction integrity.

To maintain database content integrity, variations that remain ambiguous are excluded.

Dataset used in the present study was extracted from MDL metabolic reaction database [33] and integrity database [34], which both included metabolic transformations of xenobiotic compounds harvested from the literatures.

Usually implemented by deleting objects from the database backend, the integrity is managed via a standard relational database foreign keys mechanism.

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Expert writing Tips

Best practice

When designing a database, implement integrity constraints (such as primary keys, foreign keys, and check constraints) to automatically enforce data validity and prevent inconsistencies.

Common error

Avoid deleting or modifying records without considering their impact on related tables. Enforce referential integrity using foreign key constraints to ensure that relationships between tables remain consistent.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

80%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "database integrity" functions as a noun phrase, often serving as the object of a verb or the subject of a clause. It identifies a crucial quality or state of a database. As Ludwig indicates, it refers to the accuracy and consistency of data.

Expression frequency: Uncommon

Frequent in

Science

80%

Formal & Business

10%

News & Media

5%

Less common in

Encyclopedias

2%

Wiki

1%

Reference

2%

Ludwig's WRAP-UP

In summary, "database integrity" is a noun phrase that signifies the accuracy and consistency of data within a database. Ludwig confirms its correct usage in English, especially in scientific and technical contexts. Maintaining database integrity is crucial for ensuring data reliability, preventing errors, and supporting sound decision-making. Key practices involve implementing integrity constraints and regularly auditing the database. While "database integrity" is relatively uncommon, it is essential to maintaining reliable information in computer science.

FAQs

How is "database integrity" typically maintained?

Database integrity is typically maintained through various mechanisms such as constraints, triggers, stored procedures, and proper database design. Regular backups and audits are also crucial.

What happens if "database integrity" is compromised?

If database integrity is compromised, the data becomes unreliable and can lead to incorrect analysis, faulty decision-making, and potential system failures. It can also create "data breaches" if security is also compromised.

What are some alternatives to the phrase "database integrity"?

Some alternatives include "data accuracy", "data consistency", "data validation", and "data reliability" depending on the specific context.

What's the difference between "database integrity" and "data security"?

"Database integrity" focuses on the correctness and consistency of data, whereas "data security" aims to protect data from unauthorized access, modification, or deletion. Both are essential for a robust database system.

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Source & Trust

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Authority and reliability

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Real-world application tested

Most frequent sentences: