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Building Scalable AI Pipelines with MLOps: A Guide for Software Engineers

ODSC - Open Data Science

Keeping track of changes in data, model parameters, and infrastructure configurations is essential for reliable AI development, ensuring models can be rebuilt and improved efficiently. Building Scalable Data Pipelines The foundation of any AI pipeline is the data it consumes.

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What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

ODSC - Open Data Science

Data Engineering Data engineering remains integral to many data science roles, with workflow pipelines being a key focus. Tools like Apache Airflow are widely used for scheduling and monitoring workflows, while Apache Spark dominates big data pipelines due to its speed and scalability.