Data & AI

This category is dedicated to everything related to data, including data science, data engineering, data analytics, and more.

We provide insights, tutorials, and best practices to help businesses harness the power of data to make better decisions and drive growth.

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Why data engineers don’t test - according to Reddit

Modern Data Stack with Airflow and dbt - going into the cloud (part 2)

Testing in dbt - part 3

Modern Data Stack with Airflow and dbt - starting simple (part 1)

Testing in dbt - part 2

Testing in dbt - part 1

How Do I Make an AI with Python in Eight Steps?

Exploring the Horizon: The Top 13 AI Trends Shaping 2024

AI in Recruitment: Transforming the Future of Recruiting and Talent Acquisition

Introduction to Data Modeling - Concepts and Best Practices

Embracing Agile for Successful AI and ML Projects

Analyzing Data Sourcing Methods: Pros and Cons

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