Part 6: Introducing Deployment Stacks to Azure Data Factory
Dive into Part 6 as we explore the integration of Azure Deployment Stacks into Azure DevOps Pipelines. Discover how to remove unused resources from your Azure Data Factory as part of your CI/CD Process!. Stay tuned for a deep dive into deployment stacks and their impact on Data Factory efficiency.
Part 1 - Unlock the Power of Azure Data Factory: A Guide to Boosting Your Data Ingestion Process
Are you struggling to keep up with the ever-increasing demands of data ingestion in your organization? Look no further than Azure Data Factory (ADF), the game-changing solution that is revolutionizing the way data is processed and managed. In today's fast-paced digital landscape, it's crucial for organizations to adopt an efficient ADF development life cycle. This ensures that your team can create and enhance products at an unprecedented speed, enabling you to stay ahead of the competition. But where do you start? Don't worry, myself, @joe_fitzgerald and @j_folberth got you covered. In this captivating multi-part series, we will take you on a step-by-step journey to set up a simple yet powerful solution using Azure Data Factory. One of the key components of this process is configuring your data factory to utilize a Git repository for seamless source control. This ensures that your team can collaborate effectively, track changes effortlessly, and roll back if necessary. But that's not all. We'll also delve into the world of build and release services, enabling you to embrace the principles of continuous integration and delivery. Say goodbye to manual deployments and hello to automated pipelines that streamline your application releases like never before. Throughout this series, we'll cover a wide range of topics, including Azure Key Vault, Azure Storage Accounts, Azure Active Directory, RBAC for managed identities, App registration, Azure DevOps, Service Connections, and much more! You'll gain a comprehensive understanding of each component and how they fit into the larger ADF ecosystem. Are you ready to revolutionize your data ingestion process? Join us on this exciting journey and unleash the true potential of Azure Data Factory. Stay tuned for the first installment of this enlightening series!Part 4 - Unlock the Power of Azure Data Factory: A Guide to Boosting Your Data Ingestion Process
After reading parts 1-3 on Unlock the Power of Azure Data Factory one may be left with the next steps of how to take what was provided and convert it to an enterprise scale. Terminology and expectations are key so let’s outline what we would like to see from an enterprise-scale deployment: Write once reuse across projects. Individual components can be reused. Limited manual intervention. Easily updated. Centralized definition.Part 3 - Unlock the Power of Azure Data Factory: A Guide to Boosting Your Data Ingestion Process
To see a complete introduction to this blog series, including links to all the other parts, please follow the link below: Part 1 - Unlock the Power of Azure Data Factory: A Guide to Boosting Your Data Ingestion ProcessPart 2 - Unlock the Power of Azure Data Factory: A Guide to Boosting Your Data Ingestion Process
To see a complete introduction to this blog series, including links to all the other parts, please follow the link below: Part 1 - Unlock the Power of Azure Data Factory: A Guide to Boosting Your Data Ingestion Process
