What is de-normalization? De-normalization is an optimization technique to make our database respond faster to queries by reducing the number of joins needed to satisfy user needs. In de-normalization, we mainly aim to reduce the number of tables that are needed by re-joining these tables together and add redundant data. De-normalization is commonly used with […]
Introduction to Apache Airflow – Powerful and Dynamic Orchestrator
What is Apache Airflow? Apache Airflow is a platform that will help you programmatically to design, schedule, and monitor big data pipelines, with a rich number of tasks you can execute and link together you can almost design any pipeline you have no matter how it is complicated In this article, we discover what are […]
Normalization in Depth
Designing and understanding a data model is all about understanding the concepts and the options you have in your use case and what is the best use case for each design option you have, in this article we will go through the normalization types and understand how to implement each option and pros and cons […]
COVID-19 Data Analysis with Python
Our Use Case and Objective In this article, we demonstrate the data discovery process on a COVID-19 dataset, data discovery process is a necessary milestone in any data science project. We will cover the following topics What is Data Science In A Big Data World? Why Become Data Scientist? What are the most Frequently mentioned […]