Designing Data Pipeline Architectures for Machine Learning Models
Last Updated on September 4, 2025 by Editorial Team
Author(s): Kuriko Iwai
Originally published on Towards AI.
A practical guide to transforming raw data into actionable predictions
A data pipeline architecture serves as the strategic blueprint for transforming raw data into actionable predictions.
The article discusses data pipeline architectures, including traditional warehouses, cloud-native data lakes, and modern lakehouses, exploring their components, advantages, and use cases with a focus on stock price prediction. It highlights the importance of selecting appropriate architectures based on data characteristics and business requirements, emphasizing how different patterns can affect prediction accuracy and operational efficiency.
Read the full blog for free on Medium.
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