Deep Learning Nerds

📕🔎 Building Modern Data Pipelines with dbt - Chapter 10: Data Tests

Chapter 10 explains how data quality can be systematically ensured using data tests.

This chapter covers:
- Understanding the purpose of data tests and why they matter in dbt • Executing tests using dbt test and dbt build
- Adding data tests to your dbt project
- Applying different generic tests in your dbt models
- Defining singular tests for custom test rules

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📕👀 Sneak Peek inside our book: Building Modern Data Pipelines with dbt

In Chapter 3, you are introduced to the fictional business use case and the raw dataset that serve as the foundation for the entire project. You will explore the structure and content of the source CSV files, gaining a clear understanding of the data.

This chapter covers:
• The fictional use case driving the analytics project
• The structure and purpose of the sample dataset
• The individual source files used as inputs for the dbt models

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📕👀 Sneak Peek inside our book: Building Modern Data Pipelines with dbt

Modern analytics starts with one thing: a powerful data platform.

Chapter 1 introduces data platform fundamentals and the role of data lakes, data warehouses, and data lakehouses in modern analytics.

This chapter covers:

- The role of a data platform in modern analytics
- An overview of common data platform technologies
- Key principles and characteristics of modern data storage architectures
- A comparison of data lakes, data warehouses, and data lakehouses, including their use cases
- An introduction to DuckDB as a lightweight, local analytical database

👉 Find the book on Amazon - Link in Bio

🎨🤖 A Complete Guide to Image Generation in Python with Hugging Face Diffusers

A Complete Guide to Image Generation in Python with Hugging Face Diffusers 📘 Introduction Generating images with AI has never been easier. Hugging Face’s Diffusers library provides a user-friendly way to create stunning visuals using pre-trained diffusion models like Stable Diffusion. In this guide, we’ll walk through the entire process step by step. 🧠 What are H...