What does an AI engineer really do? Separating myth from reality
Explore the real responsibilities of AI engineers, from coding to collaboration, and how they drive innovation across industries.
#Data Engineering
What are the minimum PySpark skills you need to learn for data engineering?
Learn essential PySpark skills for data engineering, including data processing, performance optimisation, and core concepts of Apache Spark.
Airflow vs. Prefect vs. Dagster: Choosing the Right Data Orchestrator for Your Project
Explore key differences between Airflow, Prefect, and Dagster to determine the best data orchestrator for your team's needs and project goals.
How to Fix 10 Neglected Data Engineering Tasks
Discover the top 10 neglected data engineering tasks, insights on build vs. buy, seasonality, and creating resilient pipelines in 2025.
How Project-Based Learning Builds Data Engineering Skills
Explore how project-based learning equips aspiring data engineers with practical skills, real-world experience, and a robust portfolio for job readiness.
Data Engineering on Databricks v/s Microsoft Fabric - when to use which platform?
Explore the differences between two leading platforms for data engineering, helping you choose the right one for your team's needs and expertise.