📘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...
📘 Introduction The dbt Analytics Engineering Certification Exam can be challenging—but with the right preparation strategy, you can pass with confidence. This guide brings together the best official resources and practical tutorials to help you stay focused, study smarter, and succeed. 📋1️⃣ Read the official dbt Study Guide Begin with...
📘 Introduction dbt gives you the power to transform raw data into clean, trusted models. But writing SQL is just the starting point. To truly get value from dbt, you need practices that keep your code organized, your models reliable, and your team moving fast. Whether you're a beginner...
📘 Introduction Chatbots are transforming the way we interact with data, services, and even entertainment. But building an intuitive interface for your chatbot can often feel like a front-end headache. That’s where Streamlit shines. It helps you create interactive, elegant UIs for your Python scripts—without touching HTML or CSS....
📘Introduction Once you've created models in dbt, you can reference them using the ref() function. This is fundamental to how dbt builds dependencies and orchestrates model execution. In this hands-on tutorial, we’ll show you how to use the ref()function within a sample project. 📌 This is a...
📘 Introduction Choosing the right Python package manager is a key decision for any developer working in Python. For years, pip has been the default choice—simple, reliable, and deeply integrated with the Python ecosystem. But a new contender has entered the ring: uv, a blazing-fast package manager developed by the...
📘 Introduction Creating interactive web apps with Streamlit is incredibly easy — even if you're not a front-end developer. Once you've mastered the basics, Streamlit’s widget system becomes your playground. These widgets let users interact with your data and models in real time. In this post, you&...
📘 Introduction Data scientists and analysts often struggle to share their work interactively. Whether it's model results or beautiful visualizations, the gap between code and a usable interface can be frustrating. That's where Streamlit comes in. Streamlit is a powerful Python framework that turns your data scripts...
