Maximizing Collaboration and Productivity: Azure DevOps and Databricks Pipelines
Data is the backbone of modern businesses, and processing it efficiently is critical for success. However, as data projects grow in complexity, managing code changes and deployments becomes increasingly difficult. That's where Continuous Integration and Continuous Delivery (CI/CD) come in. By automating the code deployment process, you can streamline your data pipelines, reduce errors, and improve efficiency. If you're using Azure DevOps to implement CI/CD on Azure Databricks, you're in the right place. In this blog, we'll show you how to set up CI/CD on Azure Databricks using Azure DevOps to improve efficiency, maximize collaboration and productivity, and unlock your team's full potential and produce better results. Let's get started!
The post Maximizing Collaboration and Productivity: Azure DevOps and Databricks Pipelines first appeared on Beyond the Horizon....
Published on:
Learn moreRelated posts
November Patches for Azure DevOps Server
Today we are releasing patches that impact our self-hosted product, Azure DevOps Server. We strongly encourage and recommend that all customer...
Configuring Advanced High Availability Features in Azure Cosmos DB SDKs
Azure Cosmos DB is engineered from the ground up to deliver high availability, low latency, throughput, and consistency guarantees for globall...
IntelePeer supercharges its agentic AI platform with Azure Cosmos DB
Reducing latency by 50% and scaling intelligent CX for SMBs This article was co-authored by Sergey Galchenko, Chief Technology Officer, Intele...
From Real-Time Analytics to AI: Your Azure Cosmos DB & DocumentDB Agenda for Microsoft Ignite 2025
Microsoft Ignite 2025 is your opportunity to explore how Azure Cosmos DB, Cosmos DB in Microsoft Fabric, and DocumentDB power the next generat...
Episode 414 – When the Cloud Falls: Understanding the AWS and Azure Outages of October 2025
Welcome to Episode 414 of the Microsoft Cloud IT Pro Podcast.This episode covers the major cloud service disruptions that impacted both AWS an...