Data Engineering Fundamentals by KodeKloud
Released 9/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 1h 13m | Size: 297.07 MB
Learn how to build reliable data pipelines that turn raw data into actionable insights. Develop core data engineering skills across ingestion, storage, transformation, and orchestration.
Course details
Explore how data engineering turns raw data into meaningful analytics. In this course, learn how to build pipelines that ingest, clean, merge, automate, and orchestrate data using Python, SQL, and Jupyter environments. Examine modern storage solutions like data lakes and lakehouses, and see how each stage fits into the pipeline. Get tips to apply security measures and compliance practices that keep data trustworthy from start to finish. Through hands-on labs, get a chance to practice every stage of the process and build skills you can use right away. Designed for aspiring data engineers and tech professionals looking to strengthen their data processing skills, this course gives you the confidence to tackle real-world data engineering projects.Note: This course was created by KodeKloud. We are pleased to host this training in our library.
Skills covered
Data Engineering
Homepage
Code:
https://www.linkedin.com/learning/data-engineering-fundamentals-by-kodekloud
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