Data Management Flashcards

What is data normalization in the context of database design?

Answer: The process of minimizing data redundancy and dependency

Data normalization is a systematic process in database design aimed at organizing data to reduce redundancy and improve data integrity. It involves breaking down large tables into smaller, related tables and defining relationships between them. This minimizes duplicate data storage, ensures data consistency, and makes the database more efficient and easier to maintain.

Which of the following is a primary benefit of using a relational database management system (RDBMS)?

Answer: It allows data to be stored in a structured format with predefined relationships

A primary benefit of using a relational database management system (RDBMS) is its ability to store data in a highly structured format using tables, rows, and columns. It allows for the definition of predefined relationships between these tables, ensuring data consistency and integrity through primary and foreign keys. This structured approach facilitates complex queries and robust data management.

What does data integrity refer to?

Answer: The accuracy and consistency of data over its lifecycle

Data integrity refers to the overall completeness, accuracy, and consistency of data throughout its entire lifecycle. It ensures that data remains valid, reliable, and free from unauthorized or accidental corruption. Maintaining data integrity is crucial for making informed decisions, ensuring compliance, and preserving the trustworthiness of information assets.

Which data management strategy involves creating a copy of data to prevent loss due to failures or disasters?

Answer: Data replication

Data replication is a data management strategy that involves creating and maintaining multiple identical copies of data across different locations or systems. This strategy is crucial for preventing data loss due to hardware failures, software errors, or disasters, as it ensures high availability and facilitates disaster recovery. If one copy becomes unavailable, another identical copy can immediately take its place.

What is a data warehouse used for?

Answer: To integrate and analyze data from multiple sources

A data warehouse is a large, centralized repository specifically designed to store integrated data from various operational systems and external sources. Its primary purpose is to support business intelligence activities, reporting, and data analysis, rather than transactional processing. By consolidating historical and aggregated data, it enables organizations to gain comprehensive insights and make strategic decisions.