Data Engineering Foundations
Hybrid
1 hours
English
Data & Engineering
Course Overview
Data engineering is the backbone of data science, ensuring that data is properly collected, processed, and stored for analysis. In this course, instructor Harshit Tyagi introduces the core concepts of data engineering, from database schema design to ETL pipelines and big data processing.
Throughout the course, learners will explore key data engineering tools such as Hadoop, Spark, and Airflow while mastering fundamental concepts like data wrangling and system monitoring. Whether you’re new to data engineering or looking to strengthen your skills, this course provides the essential knowledge to support seamless data-driven workflows.
What You'll Learn
- Fundamental data engineering knowledge to build a strong foundation.
- Hands-on experience with essential data tools like Hadoop, Spark, and Airflow.
- Practical insights into building and managing ETL pipelines.
- Database schema design and data wrangling techniques.
- A clear understanding of how data engineering supports data science.
694 THB
LinkedIn Learning
https://www.linkedin.com/learning
Skills You'll Gain:
Hadoop
Database
Data Wrangling
