Data ingestion and workflow

Description: Lecture 5 introduces batch and stream ingestion approaches. Once our data is harmonised on a lakehouse, we need to create data artefacts and views to feed our analytic tasks. These artefacts can be created and processed offline following a schedule (i.e., batch) or in real-time (i.e., streaming) depending on the data nature. This lecture introduces both concepts and the production platforms and tools that support them.
Department: Departamento de Matemáticas y Estadística - Facultad de Ciencias Exactas y Naturales
Institution: Universidad de Nariño
Date: June 20, 2026
Hours: 5
From: 07:00 am
To: 01:00 pm

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