Description
Data Engineering Fundamentals by KodeKloud. This course is a data engineering fundamentals course from the KodeKloud platform that helps learners learn how to transform raw data into meaningful analytics by building standard pipelines. This course is designed to teach the fundamentals of data engineering and shows learners how data engineering transforms raw data into meaningful analytics. In this course, participants learn how to build data pipelines, including data ingestion, cleansing, integration, automation, and orchestration using Python, SQL, and Jupyter environments. It also examines modern data storage solutions such as data lakes and lakehouses and explains the role of each stage in the pipeline structure. It also teaches security tips and compliance standards to maintain data integrity and security from start to finish. Through hands-on labs, learners have the opportunity to practice all stages of the data engineering process and gain practical skills. This course is designed for future data engineers and technology professionals who want to enhance their data processing skills, providing them with the confidence to tackle real-world data engineering projects. This course is produced by the KodeKloud team and hosted on this site.
What you will learn
- How to transform raw data into meaningful and structured analyses
- Building data pipelines to ingest, cleanse, and integrate information
- Automate and orchestrate data flows using Python and SQL
- Working with Jupyter programming environments for data analysis and processing
- Exploring modern storage solutions including Data Lakes and Lakehouses
- Implement security measures and compliance practices to maintain data integrity.
- Practical practice of all stages of the data engineering process through interactive labs
This course is suitable for people who:
- Young data engineers looking to enter the job market professionally
- Technology professionals and programmers who want to improve their data processing skills
- Those interested in learning how to build data pipelines and manage big data infrastructures
- Developers looking to master modern data engineering tools like Python and SQL
Data Engineering Fundamentals by KodeKloud course details
- Publisher: LinkedIn
- Instructor: KodeKloud
- Education level: Intermediate
- Training duration: 1 hour and 13 minutes
Course headings
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
293 MB