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Questions and Answers
What is the primary focus of a document store?
What is the primary focus of a document store?
Which of the following features is common in wide column stores?
Which of the following features is common in wide column stores?
Which characteristic differentiates graph databases from other types of databases?
Which characteristic differentiates graph databases from other types of databases?
What is a key component of the data structure in a wide column store?
What is a key component of the data structure in a wide column store?
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Which scenario is most suitable for a document store?
Which scenario is most suitable for a document store?
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What feature allows wide column stores to efficiently retrieve selective key ranges?
What feature allows wide column stores to efficiently retrieve selective key ranges?
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In a graph database, what does each arc represent?
In a graph database, what does each arc represent?
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Which statement accurately reflects the capabilities of document stores like MongoDB and CouchDB?
Which statement accurately reflects the capabilities of document stores like MongoDB and CouchDB?
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What is a primary characteristic of NoSQL databases regarding transactions?
What is a primary characteristic of NoSQL databases regarding transactions?
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What does the 'S' in BASE stand for in the context of NoSQL databases?
What does the 'S' in BASE stand for in the context of NoSQL databases?
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Which type of NoSQL database is primarily structured like a hash table?
Which type of NoSQL database is primarily structured like a hash table?
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What is a notable performance characteristic of key-value stores?
What is a notable performance characteristic of key-value stores?
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Which term best describes the notion that a system will eventually become consistent given no new inputs?
Which term best describes the notion that a system will eventually become consistent given no new inputs?
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In the context of NoSQL, what does the term 'denormalized' imply?
In the context of NoSQL, what does the term 'denormalized' imply?
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Which option best fits the usage scenario for a graph database?
Which option best fits the usage scenario for a graph database?
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Why might complexity in a key-value store be shifted to the application layer?
Why might complexity in a key-value store be shifted to the application layer?
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Study Notes
NoSQL Databases
- NoSQL is a collection of data in key-value, document, wide-column, or graph databases. Data is denormalized, and joins are usually done in application code. ACID transactions are often not supported. Eventual consistency is prioritized over consistency.
- BASE (Basically Available, Soft State, Eventual Consistency) is often used to describe NoSQL database properties. BASE prioritizes availability over strict consistency.
Key-Value Stores
- Abstraction: hash table
- Typically allows O(1) read and write operations.
- Often backed by memory or SSD.
- Data can be ordered lexicographically for efficient key range retrieval.
- Can store metadata.
- Often used for high-performance, simple data models, or rapidly changing data.
- Basis for more complex systems like document stores and graph databases.
Document Stores
- Abstraction: key-value store with documents as values
- Centered around documents (XML, JSON, binary).
- Each document stores all info for one object.
- APIs or query languages to query based on document structure.
- Some key-value stores have metadata features, blurring the lines between the two types of stores.
- Documents can be organized by collections, tags, metadata, or directories.
- Data can be highly flexible.
- Often used for data that frequently changes.
Wide Column Stores
- Abstraction: nested map
- Basic unit is a column (name/value pair).
- Columns are grouped into column families.
- Super column families further group column families.
- Each column value has a timestamp for versioning and conflict resolution.
- Typically used for extremely large datasets.
- High availability and scalability.
- Examples: Bigtable, HBase, Cassandra.
Graph Databases
- Abstraction: graph
- Each node is a record and each arc is a relationship between two nodes.
- Optimized for complex relationships (many-to-many).
- Suitable for data models like social networks.
- Often accessed via REST APIs.
- Relatively newer technology, so development tools and resources may be limited.
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Description
This quiz covers the fundamentals of NoSQL databases, including their characteristics, types like key-value and document stores, and their underlying principles such as BASE. Test your knowledge on how these databases prioritize availability and eventual consistency over traditional ACID transactions.