Data engineering

2. A distributed computing framework that allows for the processing of large datasets across clusters of computers, often using a MapReduce paradigm.
3. A system for managing and processing streaming data
6. A method of data storage that allows for the efficient querying of large datasets by organizing data into a multi-dimensional cube.
7. The process of executing a DAG on a specific schedule.
9. A process of evaluating the performance of a machine learning model.
10. A feature that allows tasks to run in parallel in Airflow.

1. A framework for building and managing data pipelines that emphasizes automation, monitoring, and collaboration among data teams.
4. A tool for orchestrating data workflows
5. A collection of tasks in Airflow that are executed in a specific order.
8. A process of cleaning and organizing raw data