Descriptions
Open source Data Engineering with Spark, dbt & Airflow Professional Certificate, This Professional Certificate is designed to equip you with the essential skills for a successful career in data engineering, focusing on open-source tools like Spark, dbt, and Airflow. You will learn to build production data pipelines at scale, from designing and automating workflows to deploying and optimizing them for performance. The program covers the entire data engineering lifecycle, including data modeling, warehousing, ensuring data quality, and implementing CI/CD for robust and reliable systems.
Through a series of hands-on projects, you will gain practical experience in optimizing Spark jobs, managing cloud data storage, and debugging data pipelines. The curriculum also emphasizes career development, providing insights into the data engineering landscape and preparing you for job interviews. By the end of this program, you will have a portfolio of projects and the confidence to tackle real-world data engineering challenges using a modern, open-source stack.
What you’ll learn
- Build and automate data pipelines using Spark, dbt, and Airflow.
- Model data warehouses and data lakes for analytical purposes.
- Optimize Spark performance and manage cloud data storage effectively.
- Implement CI/CD and DevOps practices for data engineering.
- Ensure data quality and debug pipelines for reliability.
- Prepare for a career in data engineering with portfolio projects.
Who this course is for
- Aspiring data engineers seeking to build a strong foundation in open-source tools.
- Software engineers and data analysts looking to transition into a data engineering role.
- IT professionals who want to learn how to build and manage scalable data pipelines.
- Individuals interested in gaining hands-on experience with Spark, dbt, and Airflow for production environments.
Specificatoin of Open source Data Engineering with Spark, dbt & Airflow Professional Certificate
- Publisher : Coursera
- Teacher : Professionals from the Industry
- Language : English
- Level : Intermediate
- Number of Course : 6
- Duration : 4 weeks to complete at 10 hours a week
Content of Open source Data Engineering with Spark, dbt & Airflow Professional Certificate
Requirements
- Experience with Python and SQL; familiarity with cloud storage concepts and command-line tools; basic understanding of databases recommended
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
Download Links
Course 1 – Building Automated Data Pipelines with Spark,dbt,and Airflow
Course 2 – Optimizing Spark and Cloud Data Storage for Analytics
Course 3 – Data Modeling & Warehousing Fundamentals in Data Engineering
Course 4 – DevOps and CI/CD for Data Engineering Performance
Course 5 – Data Quality and Debugging for Reliable Pipelines
Course 6 – Career Development For Open Source Data Engineering
Password file(s): www.downloadly.ir
File size
5.08 GB
