All about handling semi-structured JSON data in MongoDB, Amazon DocumentDB, Azure Cosmos DB, Couchbase, CouchDB and more
Sub Category
- Database Design & Development
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Objectives
- History of NoSQL document stores
- Introduction to over a dozen of JSON document stores
- How to insert and query JSON data into NoSQL document stores
- Popular NoSQL document stores like MongoDB, CouchDB and Couchbase
- Hosted document store services in AWS, Azure and Google Cloud
- Niche doc store products like RavenDB, RethinkDB and Redis JSON
- How to access NoSQL JSON data from Python clients
- How to get access to free open source doc stores or free cloud trial accounts
- How to install and access doc databases from Docker Desktop
- Specific SQL-like query languages for semi-structured data
- JavaScript-based query languages for JSON hierarchies
Pre Requisites
- Basic programming knowledge in Python
- Optional knowledge of querying relational data with SQL SELECT
- Basic programming skills in JavaScript
- Optional knowledge of the JSON format and data type
- No prior knowledge of NoSQL is required
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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