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Questions and Answers
What are nodes in graph databases similar to in the relational model?
What are nodes in graph databases similar to in the relational model?
Which statement best describes the role of edges in graph databases?
Which statement best describes the role of edges in graph databases?
In graph databases, what do properties refer to?
In graph databases, what do properties refer to?
Which data type is NOT mentioned as a format for documents in graph databases?
Which data type is NOT mentioned as a format for documents in graph databases?
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What is one of the primary advantages of graph databases?
What is one of the primary advantages of graph databases?
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What does the key in a key-value database represent?
What does the key in a key-value database represent?
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Which characteristic does NOT describe big data?
Which characteristic does NOT describe big data?
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In a key-value database, how are relationships among data tracked?
In a key-value database, how are relationships among data tracked?
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What type of data is primarily associated with big data?
What type of data is primarily associated with big data?
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What is the primary job of applications that use data in key-value databases?
What is the primary job of applications that use data in key-value databases?
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Which of the following best describes the properties of key-value databases?
Which of the following best describes the properties of key-value databases?
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What is a key characteristic of the 'volume' aspect of big data?
What is a key characteristic of the 'volume' aspect of big data?
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What kind of content can a value in a key-value database contain?
What kind of content can a value in a key-value database contain?
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What is the age of Justin York?
What is the age of Justin York?
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In which city does Justin York reside?
In which city does Justin York reside?
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What type of database is MongoDB?
What type of database is MongoDB?
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Which contact method is NOT listed for Justin York?
Which contact method is NOT listed for Justin York?
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What feature is highlighted for MongoDB?
What feature is highlighted for MongoDB?
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How is Justin York's email formatted?
How is Justin York's email formatted?
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What characteristic of MongoDB allows it to handle large amounts of data?
What characteristic of MongoDB allows it to handle large amounts of data?
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Which country is Justin York from?
Which country is Justin York from?
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What advantage does column-centric storage have over row-centric storage?
What advantage does column-centric storage have over row-centric storage?
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Which characteristic is NOT typically associated with NoSQL databases?
Which characteristic is NOT typically associated with NoSQL databases?
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In the context of big data, what does 'variety' refer to?
In the context of big data, what does 'variety' refer to?
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How does a key-value database structure its data?
How does a key-value database structure its data?
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What is a primary reason to use NoSQL databases?
What is a primary reason to use NoSQL databases?
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What is a key feature of NoSQL that makes it suitable for social media applications?
What is a key feature of NoSQL that makes it suitable for social media applications?
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What does the term 'column family' refer to in NoSQL databases?
What does the term 'column family' refer to in NoSQL databases?
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Which statement about NoSQL technologies is correct?
Which statement about NoSQL technologies is correct?
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What distinguishes document-oriented databases from traditional key-value databases?
What distinguishes document-oriented databases from traditional key-value databases?
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In the context of MongoDB, what is a collection most similar to?
In the context of MongoDB, what is a collection most similar to?
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How is a document defined in MongoDB?
How is a document defined in MongoDB?
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What is the role of the _id key in a MongoDB document?
What is the role of the _id key in a MongoDB document?
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What is a key feature of document-oriented databases?
What is a key feature of document-oriented databases?
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What does a MongoDB database typically contain?
What does a MongoDB database typically contain?
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When interacting with MongoDB, what command is used to view the list of databases?
When interacting with MongoDB, what command is used to view the list of databases?
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What is a characteristic of the collections in a MongoDB database?
What is a characteristic of the collections in a MongoDB database?
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What command is used to switch to a specific database in MongoDB?
What command is used to switch to a specific database in MongoDB?
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Which command lists all the databases in MongoDB?
Which command lists all the databases in MongoDB?
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When does MongoDB automatically create a database?
When does MongoDB automatically create a database?
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To see the currently selected database in MongoDB, which command is used?
To see the currently selected database in MongoDB, which command is used?
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Which of the following commands can be used to display the collections of a database?
Which of the following commands can be used to display the collections of a database?
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What occurs after creating a document in a MongoDB collection for the first time?
What occurs after creating a document in a MongoDB collection for the first time?
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What is the purpose of the 'db.student.find()' command?
What is the purpose of the 'db.student.find()' command?
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In which format does MongoDB display queried documents?
In which format does MongoDB display queried documents?
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Study Notes
Big Data and NoSQL
- Big data refers to large volumes of data exceeding the capacity of traditional software.
- This data is often unstructured or semi-structured, originating from various sources like social media and emails.
- Key characteristics of big data include volume (quantity), velocity (rate of entry), and variety (formats).
- NoSQL databases, a new generation, differ from traditional relational SQL databases in storing data (not in tables) and using non-SQL languages.
- NoSQL, often interpreted as 'Not only SQL,' uses alternative technologies to store big data and is particularly useful for applications requiring high availability, as seen in social media services.
- NoSQL excels in ease of use, scalability, resilience, and availability.
- NoSQL stores unstructured or semi-structured data, frequently in key-value pairs or JSON documents.
NoSQL Data Models
-
Key-Value (KV) Databases:
- Simplest NoSQL model.
- Stores data as key-value pairs.
- The key acts as an identifier for the value.
- Values can be anything like text, images, or XML documents.
- The database doesn't analyze the value; applications do.
- Lack of foreign keys simplifies processing, making KV databases fast and scalable for basic functions.
-
Column-Oriented Databases:
- Relies on traditional relational database technology but stores data column-wise (column families) instead of row-wise.
- Optimizes read operations, as often only specific columns are needed.
- Useful for storing large volumes of data where frequently accessed related columns are grouped.
-
Graph Databases:
- Based on graph theory.
- Represents data through nodes (entities) and edges (relationships).
- Edges describe node relationships with attributes.
- Useful for highly interconnected data, like social media networks.
-
Document-Oriented Databases:
- Similar to key-value databases; data in tagged documents.
- Stores data in flexible JSON format.
- Documents can have varying column structures across documents.
- Suitable for applications that require dynamic data schemas.
Document-Oriented Database Example - MongoDB
-
Data Structure:
- Documents are the basic data unit, similar to rows but with a flexible schema.
- Each document has a unique id key.
- Documents are stored in collections, analogous to tables.
-
Operations:
- New databases are created automatically if they do not already exist.
- The
db
command displays the currently selected database. - The
show dbs
command lists databases. - Inserting documents, similar to creating rows in a relational database but more flexible.
- Querying documents (e.g., using
find()
). - Removing documents or collections.
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Description
Explore the world of Big Data and NoSQL databases in this quiz. Learn about the characteristics of Big Data, the differences between traditional SQL and NoSQL databases, and the unique data models used in NoSQL, such as key-value pairs. Test your understanding and knowledge about these critical technologies shaping data management today.