LinkedIn Learning
LinkedIn Learning

Master Data Engineering

Hybrid
23.14 hours
English
Data & Engineering
Course Overview

Data engineering is a rapidly growing field that requires expertise in tools and frameworks that power modern data applications. This comprehensive course equips you with the skills to build scalable and efficient data solutions, covering everything from Apache Kafka and SQL fundamentals to advanced topics like batch processing, Python for data engineering, and managing data with dbt and Snowflake.


Through hands-on projects and real-world scenarios, you will gain practical experience debugging and optimizing Kafka, fine-tuning batch applications, and improving data pipeline performance. Whether you're starting in data engineering or looking to upskill, this course provides the technical knowledge and practical applications needed to succeed in this high-demand field.

What You'll Learn
    • Expert-led training on Apache Kafka, SQL, Python, dbt, and Snowflake.
    • Hands-on experience troubleshooting, debugging, and fine-tuning Kafka.
    • Scalability techniques for batch processing and real-time data applications.
    • Advanced SQL & Python skills tailored for data engineering needs.
    • Practical projects to build and manage robust data pipelines.
Master Data Engineering

694 THB

LinkedIn Learning

LinkedIn Learning

https://www.linkedin.com/learning

Skills You'll Gain:

SQL
Apache Kafka
Scalable Architecture