📘 Introduction In this hands-on dbt tutorial, we’ll walk you step-by-step through generating and serving interactive documentation for your dbt project. 📌 This is a must-know topic for the dbt Analytics Engineering Certification Exam, so mastering it now puts you one step closer to passing the exam and leveling up your...
📘 Introduction Welcome to this hands-on FastMCP tutorial! In this guide, we’ll take you step-by-step through setting up and using FastMCP to accelerate your AI projects with ease and efficiency. ✅ Prerequisites Before you begin, make sure you have the following: 🐍☑️ Installed Python 📦☑️ Installed Pip 🌐☑️ Created and activated a virtual environment...
📘 Introduction In this hands-on dbt tutorial, we'll walk you through why data contracts are critical for your dbt models — and how to add them to your dbt models step by step. 📌 This is a must-know topic for the dbt Analytics Engineering Certification Exam, so mastering it now puts...
📘 Introduction In the rapidly evolving world of artificial intelligence, interoperability is emerging as a critical challenge. With multiple agents, tools, memory systems, and models working in tandem, the need for a universal “plug-and-play” protocol is greater than ever. Enter the Model Context Protocol (MCP) — a new standard designed to unify...
📘 Introduction Data is only as useful as your ability to explore and understand it. But building an interface to analyze and visualize your DataFrame often feels like a full-blown front-end project. That’s where Streamlit saves the day. In this tutorial, you’ll learn how to build a data app...
📘 Introduction In this hands-on dbt tutorial, we'll walk you through how to add and run generic data tests in dbt using YAML configuration. These built-in tests help ensure your data quality and integrity, without writing any custom SQL. 📌 This is a must-know topic for the dbt Analytics Engineering...
📘 Introduction In this hands-on dbt tutorial, we'll walk you through how to use Common Table Expressions (CTEs) effectively in dbt models - an essential concept for modular, readable, and testable SQL. 📌 This is a must-know topic for the dbt Analytics Engineering Certification Exam, so mastering it now puts...
📘Introduction In this hands-on dbt tutorial, we'll walk you through how to describe and document your data models using schema.yml in dbt. 📌 This is a must-know topic for the dbt Analytics Engineering Certification Exam, so mastering it now puts you one step closer to passing the exam...
📘Introduction In Software Engineering, DRY stands for Don't Repeat Yourself — a fundamental principle aimed at reducing repetition, improving maintainability, and increasing code clarity. In the world of data transformation with dbt (data build tool), applying DRY principles helps ensure that your SQL code is modular, reusable, and easy...
