Remove Data Ingestion Remove ETL Remove Explainability Remove Metadata
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Build a news recommender application with Amazon Personalize

AWS Machine Learning Blog

Explainability – Providing transparency into why certain stories are recommended builds user trust. AWS Glue performs extract, transform, and load (ETL) operations to align the data with the Amazon Personalize datasets schema. For example, article metadata may contain company and industry names in the article.

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Supercharging Your Data Pipeline with Apache Airflow (Part 2)

Heartbeat

Image Source —  Pixel Production Inc In the previous article, you were introduced to the intricacies of data pipelines, including the two major types of existing data pipelines. You also learned how to build an Extract Transform Load (ETL) pipeline and discovered the automation capabilities of Apache Airflow for ETL pipelines.

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