12 Questions
What is a key feature of NoSQL databases related to scaling?
Horizontal scaling
Which type of NoSQL database stores data in tables, rows, and dynamic columns?
Wide-column store
What is a key characteristic of document databases in NoSQL?
Store data in JSON-like documents
Which type of NoSQL database is known for storing data in nodes and edges?
Graph database
What does a flexible schema allow in NoSQL databases?
Easier changes to the database structure
How do key-value databases store data?
With keys and values
In a relational database, how many tables would likely be created to store information about a user and their hobbies?
Two tables
What is a key advantage of using a document database like MongoDB for storing information about a user and their hobbies?
Retrieving all information with a single document
What is one of the differences between RDBMS and NoSQL databases listed in the text?
Relational databases have more support for transactions
When should NoSQL databases be used according to the text?
For modern application paradigms like microservices
What operator would you use in MongoDB to retrieve data where the 'Max_Speed' is greater than 100?
$gt
What type of data storage is highlighted as suitable for NoSQL databases in the text?
Huge volumes of data and semi-structured data
Study Notes
NoSQL Databases
- NoSQL databases store data differently than relational tables, providing flexible schemas and scaling easily with large amounts of data and high user loads.
- They come in various types, including document, key-value, wide-column, and graph databases.
Features of NoSQL Databases
- Flexible schemas, allowing for easy changes to the database as requirements change.
- Horizontal scaling, enabling the database to scale-out easily.
- Fast queries, as data that is accessed together is stored together.
- Ease of development, with mapping allowing developers to write less code and reducing bugs.
Types of NoSQL Databases
- Document databases, storing data in documents similar to JSON objects.
- Key-value databases, storing data in simple key-value pairs.
- Wide-column stores, storing data in tables with dynamic columns.
- Graph databases, storing data in nodes and edges.
RDBMS vs NoSQL: Data Modeling
- In a relational database, data is stored in separate tables (e.g., Users and Hobbies).
- In a document database (e.g., MongoDB), data is stored in a single document, eliminating the need for joins.
Retrieving Data in NoSQL
- A single document can be retrieved, containing all information about a user and their hobbies.
- No joins are required, resulting in faster queries.
Differences between RDBMS and NoSQL
- Flexibility of the schema
- Scaling technique
- Support for transactions
- Reliance on data to object mapping
Why NoSQL?
- Used in critical applications, such as financial data and healthcare records, to fun and frivolous applications, like IoT readings from a smart kitty litter box.
- Suitable for fast-paced Agile development, storing structured and semi-structured data, and huge volumes of data, requiring scale-out architecture and modern application paradigms.
Querying in NoSQL
- Examples of NoSQL queries, using operators such as $gt, $eq, $gte, $lte, $lt, and $ne.
Test your knowledge about NoSQL databases, their types, features, and how they differ from traditional relational databases. Learn about document, key-value, wide-column, and graph databases.
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