Data Management Flashcards

Which type of data have elements in common but do not fit into rigid rows and columns in a table?

What is the technology that aggregates structured data from one or more sources called?

Which of the following acronyms describes the traditional way to ensure data stays consistent across the entire database?

Which of the following needs to be done before Big Data can be analyzed and interpreted?

What is this known as?

What are non-relational databases that deal with big data often referred to as?

The concern that big data is often obtained without the knowledge or consent of users falls under which big data concept?

What is asking specific questions to interpret Big Data called?

Which of the following would be the BEST choice?

The vast amount of data collected from Internet searches, social media posts, customer transactions, military surveillance, medical tests, weather sensors, and other data sources are collectively referred to as __________.

Data Concepts and Definitions

Semi-structured Data: Contains elements that share common features but do not conform to strict table formats; is flexible in structure.
Data Warehousing: A technology used to consolidate structured data from various sources for analysis and reporting.
ACID: An acronym representing the properties of Atomicity, Consistency, Isolation, and Durability that ensure reliable database transactions.

Big Data Processes and Challenges

Data Extraction: A necessary step before analyzing and interpreting Big Data; involves gathering data from various sources.
Big Data Definition: Refers to the large volumes of data generated from diverse sources such as online searches, social media, and sensor data.
NoSQL Databases: A type of non-relational database designed to handle the diverse structure and scale of Big Data, allowing for flexible data storage and retrieval.

Ethical Considerations and Analytical Approaches

Data Ethics: Addresses concerns related to the acquisition of Big Data without user knowledge or consent, ensuring ethical standards in data collection practices.
Data Analytics: The process of asking specific questions to derive meaningful insights from Big Data, involving statistical and computational techniques.

Additional Data Sources and Formats

Text-based Flat Files: Considered a simple data storage format, useful for straightforward data management tasks, often the best choice in certain contexts.

Test your knowledge on data management concepts with these flashcards. This quiz covers key terms such as semi-structured data, data warehousing, and ACID compliance. Perfect for students and professionals looking to enhance their understanding of data systems.