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Streamlining streaming workloads with Databricks Delta Live Tables
Online Day - Data Track · June 18 · English Talk

Abstract

Delta Live Tables on Databricks provides a great platform for streaming workloads, with multiple advantages such as data quality policies, and -expectations, workflow automation, and multiple language support.

In this session, I will introduce why and how it should be used through a simple integration of Azure Databricks and Confluent.

Speaker

Simon Nagy

Data Engineer @ Hiflylabs

Simon works as a Data Engineer at Hiflylabs, focusing on projects built with Azure Databricks. His background includes PhD-level research and earlier work as a research engineer, where he explored the data side of smart cities and mobility. He’s especially interested in cloud computing, large-scale data systems, and how technology can support urban life. Simon believes that sharing knowledge and mentoring - both within and outside technical teams - is just as important as writing good code.