Master Spark on Azure with Docker! Dive into data processing and visualization of Japan's visa numbers using PySpark and Plotly. Clean, transform, and gain insights into visa trends interactively.
English
Last updated
Thu, 21-Mar-2024
Welcome to a comprehensive tutorial on setting up the Spark master-worker architecture in a Docker container on Azure.
This guide is designed to walk you through the intricacies of data processing, from reading and cleaning data using PySpark to transforming it and visualizing the trends using the power of Plotly Express.
Focusing on visa numbers in Japan, you'll gain valuable insights into the visa trends of the country. Whether you're a data enthusiast wanting to understand Japan's visa dynamics or a professional aiming to hone your data engineering skills on Azure, this tutorial offers a blend of theory, hands-on coding, and visualization techniques.
With expert guidance, resource links, and practical examples, embark on a journey from raw data to interactive visualizations.
Data Mastery Lab is an online learning and teaching platform for data engineering, data science, data analytics, machine learning and artificial intelligence.
