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Questions and Answers
What is a key characteristic of advanced databases?
How do advanced databases achieve scalability?
What kind of data can advanced databases store?
How do advanced databases handle vast volumes of data?
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What is the main benefit of advanced databases' scalability?
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What does 'Advanced databases go beyond the capabilities of traditional databases' mean?
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Which of the following is NOT a characteristic of advanced databases?
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What is one of the key advantages of distributed database management in advanced databases?
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Which type of databases integrate with cutting-edge technologies like artificial intelligence and machine learning?
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During which era did the relational database model, pioneered by Edgar F. Codd, become dominant?
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What do ACID properties ensure in advanced databases?
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Which databases cater to specific use cases and data requirements, offering flexible and powerful solutions for modern data management challenges?
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What is one of the characteristics of the rise of client-server architectures in the 1990s?
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What does the integration of advanced technologies in advanced databases allow for?
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Which statement best defines advanced databases?
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What distinguishes advanced databases from traditional databases?
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What is a key characteristic of advanced databases' data modeling capabilities?
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How do advanced databases achieve scalability?
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What role do advanced databases play in managing vast volumes of data?
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What is the significance of advanced databases' support for complex data modeling?
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What is the primary focus of scalability in advanced databases?
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Which type of databases can operate across multiple servers or nodes, often in geographically dispersed locations?
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What do ACID properties ensure in advanced databases?
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Which era witnessed the emergence of the relational database model as the dominant database paradigm?
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What is a key characteristic of advanced databases' integration of cutting-edge technologies like artificial intelligence and machine learning?
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What was the rise of client-server architectures in the 1990s associated with?
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What is a common use case for NoSQL databases like MongoDB, Cassandra, and Neo4j?
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'Integration of Advanced Technologies' in advanced databases refers to the integration with which of the following technologies?
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'Distributed Database Management' in advanced databases enhances fault tolerance by:
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What is a distinguishing feature of NewSQL databases like Google Spanner and CockroachDB?
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Study Notes
Advanced Databases
- Advanced databases go beyond the capabilities of traditional databases, achieving scalability and handling vast volumes of data.
- These databases can store structured and unstructured data, including multimedia, IoT, and sensor data.
- Scalability is achieved through distributed database management, which allows for horizontal scaling and fault tolerance.
- The main benefit of advanced databases' scalability is the ability to handle large volumes of data and provide high performance.
Characteristics of Advanced Databases
- Advanced databases integrate with cutting-edge technologies like artificial intelligence and machine learning.
- They cater to specific use cases and data requirements, offering flexible and powerful solutions for modern data management challenges.
- Data modeling capabilities are key characteristics, supporting complex data modeling and handling various data formats.
- ACID properties ensure atomicity, consistency, isolation, and durability in advanced databases.
Types of Databases
- NoSQL databases like MongoDB, Cassandra, and Neo4j are used for handling large amounts of unstructured data and high traffic.
- NewSQL databases like Google Spanner and CockroachDB offer high performance and scalability for transactional workloads.
- Distributed databases can operate across multiple servers or nodes, often in geographically dispersed locations.
History of Databases
- The relational database model, pioneered by Edgar F. Codd, became dominant in the 1970s and 1980s.
- The rise of client-server architectures in the 1990s was associated with the growth of relational databases.
Key Benefits
- Advanced databases' support for complex data modeling enables handling of diverse data formats and structures.
- Distributed database management enhances fault tolerance and provides high availability.
- Integration of advanced technologies allows for advanced analytics and real-time insights.
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Description
Test your knowledge about advanced databases, sophisticated database management systems, advanced features, technologies, and techniques to handle complex data management tasks efficiently.
