Questions and Answers
Which type of data have elements in common but do not fit into rigid rows and columns in a table?
semi-structured
What is the technology that aggregates structured data from one or more sources called?
data warehousing
Which of the following acronyms describes the traditional way to ensure data stays consistent across the entire database?
ACID
Which of the following needs to be done before Big Data can be analyzed and interpreted?
Signup and view all the answers
What is this known as?
Signup and view all the answers
What are non-relational databases that deal with big data often referred to as?
Signup and view all the answers
The concern that big data is often obtained without the knowledge or consent of users falls under which big data concept?
Signup and view all the answers
What is asking specific questions to interpret Big Data called?
Signup and view all the answers
Which of the following would be the BEST choice?
Signup and view all the answers
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 __________.
Signup and view all the answers
Study Notes
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.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
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.