Datacamp – Professional Data Engineer in Python 2024-8

Published on: 2024-08-29 22:31:00

Categories: 28

Descriptions

Professional Data Engineer in Python, Take your skills to the next level with our Professional Data Engineer track. This advanced track is designed to build on the Associate Data Engineer in SQL and Data Engineer in Python tracks. It equips you with the cutting-edge knowledge and tools demanded by modern data engineering roles. Throughout this journey, you’ll master modern data architectures, enhance your Python skills with a deep dive into object-oriented programming, explore NoSQL databases, and harness the power of dbt for seamless data transformation. Unlock the secrets of DevOps with essential practices, advanced testing techniques, and tools like Docker to streamline your development and deployment processes. Immerse yourself in big data technologies with PySpark and achieve mastery in data processing and automation using shell scripting. Engage in hands-on projects and tackle real-world datasets to apply your knowledge, debug complex workflows, and optimize data processes. By completing this track, you’ll not only gain the advanced skills needed to conquer complex data engineering challenges but also the confidence to apply them in the dynamic world of data engineering.

What you’ll learn

Discover modern data architecture’s key components, from ingestion and serving to governance and orchestration.
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!
Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

Specificatoin of Professional Data Engineer in Python

Publisher : Datacamp
Teacher : Filip Schouwenaars
Language : English
Level : All Levels
Number of Course : 13
Duration : 40 hours and 0 minutes

Content of Professional Data Engineer in Python

Big Data Fundamentals with PySpark
Containerization and Virtualization Concepts
Data Processing in Shell
DevOps Concepts
Introduction to dbt
Introduction to Docker
Introduction to NoSQL
Introduction to Object-Oriented Programming in Python
Introduction to PySpark
Introduction to Shell
Introduction to Testing in Python
Streaming Concepts
Understanding Modern Data Architecture