DataCamp
FreeIntroduction to NoSQL
4.8(828)10k studentsBEGINNEREnglish
Korshub's take
The Korshub Take
This beginner course explores the non-relational database landscape designed to handle massive, unstructured datasets. It provides hands-on exposure to four primary NoSQL architecture types: column-oriented (Snowflake), document-oriented (Postgres JSON), key-value stores (Redis), and graph databases.
Who It's For
Data engineers, database administrators, and data analysts looking to select and query the right NoSQL database for modern data pipelines.
Key Takeaways
- Column-Oriented Warehouses: Practice creating, updating, and querying column-oriented tables and semi-structured data in Snowflake.
- Document Databases: Query nested objects, arrays, and JSON document structures using Postgres JSON.
- In-Memory Key-Value Stores: Leverage Redis for high-speed in-memory caching and rapid key-value data retrieval.
- Graph Databases: Understand graph data models and identify optimal use cases for interconnected data workflows.
About this course
In recent years, NoSQL databases have seen a surge in popularity due to their ability to handle large volumes of unstructured data. Learning to leverage NoSQL tools such as column-oriented, document, key-value, and graph databases allows data engineers, analysts, and scientists to interact with a wider breadth of data. These NoSQL databases bring additional functionality to data storage and retrieval that isn’t available in traditional relational databases.
Column-oriented databases
Dive into the world of column-oriented databases and their role in the evolution of data warehouses. Practice working with Snowflake to create and update column-oriented tables, as well as optimize table design for performance. Explore Snowflake’s advanced functionality to work with semi-structured data.Document databases
Learn to use Postgres JSON as a tool to query document and object-oriented databases and the variety of data types that this technology supports. Hone your skills working with data stored in an array, as well as nested data.Key-value and graph databases
Grow comfortable working with key-value databases and learn when this NoSQL data store is best applied. Practice using Redis to load and query data and experience the lightning-fast performance of in-memory databases. Explore graph databases and their use cases in data workflows.Advertisement
