DevOps for Applications in Azure Databricks: Creating Continuous Integration Pipelines on Azure Using Azure Databricks and Azure DevOps

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Working with our customers, developers and partners around the world, it’s clear DevOps has become increasingly critical to a team’s success. Continuous integration (CI) and continuous delivery (CD) which is part of DevOps, embody a culture, set of operating principles, and collection of practices that enable application development teams to deliver code changes more frequently and reliably. In this session, we will cover how you can automate your entire process from code commit to production using CI/CD pipelines in Azure DevOps for Azure Databricks applications. Using CI/CD practices, you can simplify, speed and improve your cloud development to deliver features to your customers as soon as they’re ready.

 

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About Premal Shah

Premal Shah is a Principal Program Manager in the Azure Databricks team. His areas of expertise include big data and large scale machine learning on Spark for both cloud and on-premise workloads. He is passionate about bringing AI to the enterprise and helping organizations deliver value and offer differentiated offerings using the power of big data and AI. He has over 20 years of experience in industry working with Tier 1 enterprises.