[100% Off] Sql++ For Json In Couchbase Masterclass Hands-On

Learn to query JSON documents with SQL++ (former N1QL) in NoSQL Couchbase stores

Added on October 29, 2025 Development 3 min read

What you’ll learn

Query JSON Data in Couchbase the Easiest Way Possible
The new SQL++ language in Couchbase, successor of N1QL
Use SQL to query semi-structured hierarchical JSON data
Learn about one of the most popular NoSQL JSON document stores

Requirements

Just basic knowledge of SQL
Basic knowledge of Visual Studio Code (VSCode) and Jupyter Notebooks
No prior knowledge of Couchbase expected
No prior knowledge of JSON or NoSQL stores expected

Description

Couchbase is a popular JSON document store used by powerful clients like PayPal, Walmart, Verizon, Cisco, UPS, Equifax etc. Unlike other similar NoSQL products – like MongoDB or CouchDB – in Couchbase you can query the stored or on-the-fly JSON data through an exciting SQL extension called SQL++ (former N1QL).

What you will learn

Everything about their SQL++ language, rebranded after the former N1QL.
Join hierarchical data with SQL++ in all sorts of ways, including nesting and unnesting.
Aggregate directly data from nested arrays, without “flattening” their elements first.
Filter and transform directly data from nested arrays, without “flattening”.
Create, modify and delete top JSON documents, from Couchbase collections.
Update directly internal JSON properties, objects and arrays, without unnesting their structure first.
Properly use the tricky UPSERT and MERGE operations.
Use recursive Common Table Expressions, with the RECURSIVE WITH clause.
All individual object and array built-in functions.
Create and use indexes, to optimize the query performance.
Short presentation of the available Couchbase professional certifications.

Why my course is better to learn Couchbase

Using practical focused hands-on experiments, with short well-structured slides.
Most exercises use a small amount of data, to help you better understand the operations on data.
Many exercises use on-the-fly JSON data, to keep it simple and focused on joining and aggregating the data.
Usage of the Jupyter Notebook-based Couchbase plugin, in Visual Studio Code.
Avoiding the formal but heavy Backus-Naur notation from the Couchbase documentation.
Fast-paced, with small but practical use cases, to cover all you need to know about SQL++ for JSON.
Each section ends-up with a short quiz, to test your acquired knowledge.

My credentials for this course

Certified Professional Couchbase Developer – with popular practice tests on Udemy.
Expert and heavily certified in many other NoSQL databases.
Professional workplace experience with MongoDB JSON document stores since 2012.
Expert in handling semi-structure JSON data from all sorts of databases, relational or NoSQL.
World-class expert in Snowflake, former Data Superhero, SnowPro Subject Matter Expert
Wrote in detail about JSON in Snowflake, in another course.

What is NOT included here

Full preparation for any Couchbase certification exam.
Couchbase internals and administration.
Couchbase programming with REST APIs or SDKs.
Using Couchbase from the command line.
Data modeling in Couchbase.
Couchbase programming in any other language but SQL++/N1QL (like Java, Python etc).
Advanced features of Couchbase, in detail.
Data import and export operations.
Couchbase cost estimation and optimization.
Couchbase features not generally available as a free trial.
All sorts of deployments for a Couchbase cluster.
Specialized editions such as Capella Columnar, Couchbase Mobile, or Couchbase for Kubernetes.
How to use Visual Studio Code (VSCode) or Jupyter Notebooks.
How to use the Couchbase web UI interfaces.