Dive deep into the world of data engineering with the "Apache Airflow on Steroids for Data Engineers" full course. Master the integration of Apache Airflow with Docker, Spark Clusters, and programming in Scala, Python, and Java to build and monitor complex data workflows.
English
Last updated
Tue, 05-Dec-2023
The "Apache Airflow on Steroids for Data Engineers" is a comprehensive course designed to equip data engineers with the skills to build robust data pipelines using Apache Airflow, Docker, and Spark Clusters.
This course takes a hands-on approach, guiding you through the creation of an end-to-end data engineering project. You'll learn to write basic jobs in multiple programming languages, manage job submission to Spark clusters, and process data at scale.
With a focus on practical application, this course includes setting up your environment, building and compiling jobs in Scala and Java, and analyzing computation results in real-time. By the end of this course, you'll have a solid understanding of workflow automation and big data analytics, preparing you to tackle complex data engineering challenges.
Data Mastery Lab is an online learning and teaching platform for data engineering, data science, data analytics, machine learning and artificial intelligence.
