Description
Modern Data Engineering Essentials. This course covers key concepts and challenges related to large-scale data systems and artificial intelligence. In addition to providing theoretical knowledge, this course provides participants with hands-on experience with common tools and workflows in the field. The course instructor, Christina Taylor, is an experienced data engineer whose primary expertise is in designing scalable, efficient, multi-cloud, open source data pipelines. She supports data-driven architectural decisions to build modern systems that enable advanced analytics, machine learning, and customer-centric use cases. Her interests span interdisciplinary areas such as DevOps, M-Ops, and Cloud FinOps, and she has a passion for learning, sharing knowledge, and contributing to open source communities. The course concludes by examining the skill development pathways, including the education, experience, and professional certifications needed to succeed in the world of data engineering.
What you will learn
- Application of Data Engineering Concepts: Participants learn how to apply data engineering concepts.
- Loading Data into DuckDB: Learn how to load data into DuckDB, an open source, columnar relational database management system.
- Setting Up and Using DBT: Participants will learn how to set up and use DBT, a tool for building, testing, and deploying robust data pipelines.
- Data Engineering Workflow Coordination: Learn how to coordinate data engineering workflows using tools like Airflow, Dagster, and Prefect.
- Dagster and DBT Integration: Learn how to integrate Dagster and DBT to create an integrated system.
- Maximize Education, Experience, and Skills: Participants learn how to maximize their education, experience, and skills to work in the modern data engineering world.
This course is suitable for people who:
- Developers, data scientists, and engineers interested in the data side of big data systems.
Modern Data Engineering Essentials Course Specifications
- Publisher: Oreilly
- Instructor: Christina Taylor
- Training level: Beginner to intermediate
- Training duration: 1 hour and 21 minutes
Course headings
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
358 MB
