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Streaming Data Into The Lakehouse With Iceberg And Trino At Going

Data Engineering Podcast

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Architecting Data for Real-Time Insights

This chapter explores the innovative architecture for streaming data flows within a data engineering framework, detailing the integration of key technologies like Confluent, Starburst Galaxy, and Databricks. It examines the transition from a Ruby monolith to a scalable open lake house architecture, focusing on data democratization and the role of analytics in decision-making. Additionally, the discussion highlights the evaluation of recent OLAP engines and the strategic selection of data tools to meet business needs efficiently.

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