EDTS

One way to utilize or monetize big data is to make insightful and up-to-date reports. Many BI tools can solve this task, but reporting is…

A data engineer needs to able to managing large datasets efficiently, unfortunately i’m not one of them — at least, not at first…

Importance of Data Quality

It’s better to Trigger the Dag Runs by API when the data is received from the client, for the EDTS case it’s when data is received in GCS

ML and AI have become an important part of our life. Generative AI models like ChatGPT, and Gemini have been assisting us in our daily…

Python is a popular high-level programming language known for its simplicity, ease of learning, and extensive support for modules and…

As other services relay to this process, performance has to be considered.

Google Analytics 4 (GA4) offers powerful data analysis capabilities, But for users with limited access (outside of GA4 360)

SQL remains a cornerstone of data engineering, offering powerful capabilities to manipulate and analyze data. For data engineers, mastering…

Easy ready-to-use deployment module for Spark Deployment in Local Machine (Local & Cluster via Hadoop)

This article delves into the key components of cloud data engineering using Google Cloud