In Data Engineer’s Lunch #40: Streaming vs. Batch for ETL, we will be discussing use cases for using real-time stream processing or processing in batches. The live recording of the […]
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In Data Engineer’s Lunch #28: Petl for Data Engineering, we discussed Petl as part of our ongoing series on python ETL tools. The live recording of the Data Engineer’s Lunch,
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In Data Engineer’s Lunch #27 Data Processing with Containers: Kubernetes Tools for Data Engineering, we will discuss data processing with different container tools including Docker, Kubernetes, Airflow, Argo, and Kubeflow.
In Data Engineer’s Lunch #26, we will discuss how to use Akka Actors for concurrent data processing operations. The live recording of the Data Engineer’s Lunch, which includes a more
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