Understanding Data Engineering
Discover how data engineers lay the groundwork that makes data science possible. No coding involved!
Discover how data engineers lay the groundwork that makes data science possible. No coding involved!
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
Learn how to implement and schedule data engineering workflows.
Leverage your Python and SQL knowledge to create an ETL pipeline to ingest, transform, and load data into a database.
Learn the fundamentals of cloud computing with AWS.
Learn how to build and test data engineering pipelines in Python using PySpark and Apache Airflow.
In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.
Discover modern data architecture's key components, from ingestion and serving to governance and orchestration.
Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
Learn how to work with streaming data using serverless technologies on AWS.