NoSQL databases

• Key-value databases: Learn the basics of key-value databases, which store data in key-value pairs. This type of database is particularly suitable for applications that require fast reads and writes.

• Diagram and graph databases: You will be introduced to the concepts and application of diagram and graph databases. Relationships between entities are covered, making them ideal for modeling complex relationships.

• Document databases: Together we will explore the structure and benefits of document databases that store data in document-like structures, such as JSON. These databases offer a high degree of flexibility and are particularly suitable for dealing with heterogeneous or rapidly changing data structures.

• Vector databases: You will be introduced to the world of vector databases, which allow you to work with multidimensional vectors. This type of database is particularly useful in applications that work with large amounts of vector data, such as machine learning processing, search algorithms or large language models (LLMs). Vector databases provide an efficient way to store and query large models and vector data in a scalable way, making them an important tool in modern data science and AI projects.

Duration of the course: 2 days

This course is aimed at developers and data scientists and anyone who wants to gain a better understanding of the possibilities and limitations of NoSQL databases. Practical examples and exercises will enable you to select and efficiently use the NoSQL database best suited to your requirements.