An open-source platform to programmatically author, schedule, and monitor workflows, enabling complex data pipeline management.

The process of connecting applications and services in the cloud to streamline data flow and enhance functionality.

The overall utility of a dataset, determined by factors like accuracy, completeness, consistency, and reliability.

Techniques used to manage and respond to errors in data processing, ensuring workflows remain operational.

A representation of tasks in a workflow where each task is a node, and edges indicate dependencies, ensuring no cycles.

Amazon Web Services Simple Storage Service, a scalable storage solution for data in the cloud, commonly used in data pipelines.

A service for storing and accessing data in the Google Cloud, providing high availability and scalability.

A series of data processing steps that involve moving data from one system to another, often involving transformation.

The process of ensuring data meets specific criteria or standards before it is processed or used.

User-defined tasks in Apache Airflow that encapsulate specific logic or functionality, enhancing workflow capabilities.

A method of executing multiple tasks simultaneously to improve performance and reduce processing time.

Mechanisms that alert users or systems about errors or important events in a data pipeline.

The process of optimizing a system to improve its efficiency and speed, especially for large datasets.

Relationships between tasks in a workflow that determine the order in which they must be executed.

Strategies for automatically re-executing failed tasks in a workflow to enhance reliability.

A comprehensive testing method that verifies the complete functionality of a data pipeline from start to finish.

The capability of a system to handle a growing amount of work or its potential to accommodate growth.

A self-assessment method where students document their learning experiences and insights throughout the course.

A collaborative evaluation process where students assess each other's work based on defined criteria.

The process of converting data from one format or structure into another to meet specific requirements.

A set of rules and protocols for building and interacting with software applications, essential for cloud integrations.

The execution of a series of jobs in a program on a computer without manual intervention.

The process of combining data from different sources into a unified view, crucial for analytics and reporting.

The coordination of tasks and processes in a workflow to ensure efficient execution and tracking.