Python decorator is syntactic sugar. You can achieve everything without explicitly using the decorator. However, Using the decorator can help your code be more concise and readable. Ultimately, you write fewer lines of code by leveraging Python decorators.
Get Fluent in Python Decorators by Visualizing It Read More »
Have you seen any beautiful racing bar chart data animation on Youtube and wondered how it was built? I will show you how to use gganimate in R to animate data by creating a racing bar chart as an example.
How to Build Data Animation in R Read More »
Data engineers can work on some side projects to get experience. Those projects could initiate impressive discussions to help you land a dream job. We will introduce 6 data engineering side project ideas regardless of your experience.
6 Side Project Ideas for New and Experienced Data Engineers Read More »
Airflow has been widespread for years. Is Apache Airflow due for a replacement? mage-ai is the new ETL tool for data engineers to check out as a substitution. I have taken a first impression of mage-ai and will share my thoughts.
Is Apache Airflow Due for Replacement? The First Impression Of mage-ai Read More »
Apache Airflow is undoubtedly the most popular open-source project for data engineering for years. It gains popularity at the right time with The Rise Of Data Engineer. Today, I want to share my journey with Airflow and what I learned over 6 years.
Here Is What I Learned Using Apache Airflow over 6 Years Read More »
“Why my Spark job is running slow?” is an inevitable question. We will cover how to identify Spark data skew and how to handle data skew with different options, including key salting
Deep Dive into Handling Apache Spark Data Skew Read More »
Interested In Becoming A Data Engineer? This article will show a glimpse of the data engineering role and the requirements to become a data engineer to help you make that decision.
Interested In Becoming A Data Engineer? A Glimpse Of The Data Engineering Role Read More »
