Hector Sven
Data Engineering Manager at Avanade Norway, Azure Certified Pro & DevOps Expert
Oslo, Norway
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My name is Hector Sven, it has been almost 20 years since I graduated from college as an IT Engineer and I have been working ever since for many different companies and industries; facing all sorts of problems, overcoming challenges, dealing with people, embracing multicultural environments I grew a body of knowledge that I think is worth sharing.
My background is on the area of Data Engineering and with a few exceptional projects, working with Microsoft Technologies, last 8 years I have been working with Azure cloud-ecosystem, I have 6 associate certifications on data-related technologies and a DevOps expert ... visit my linked in profile https://www.linkedin.com/in/svenchio/
Area of Expertise
Topics
Streamlining Databricks: CI/CD your Notebooks with DevOps Pipelines and orchestrate via Data Factory
Integrating Azure Databricks with Azure Data Factory (ADF) allows you to seamlessly orchestrate data workflows and execute Databricks notebooks within your data pipelines, this integration empowers you to leverage the strengths of both, while Databricks provides scalable analytics and machine learning capabilities, ADF complements this by enabling you to schedule, trigger, and manage these data movement and transformations.
In this session I'll show you how to 1) Provision your Workspace infrastructure with BICEP, 2) Configure SCIM provisioning connector and use Azure's Entra ID security groups to separate users from administrators, 3) deploy your Notebooks across environments with DevOps YAML Pipelines and 4) Orchestrate your Notebooks via Azure Data Factory.
Version-control & CI/CD your Power BI reports with Git-integration and DevOps
No more PBIX files flying around! Control your Power BI reports using modern software development practices... I'll show you how to use two new features in the Premium pricing tier: Fabric Git-integration for versioning and Power BI Deployment pipelines for faster delivery of content updates and reduced manual work and errors; I'll also include an alternative approach for the Pro pricing-tier users with DevOps pipelines.
Enabling Azure Data Factory to selectively deploy Core vs Data-product components via DevOps
Adding the ability to selectively deploy components will significantly enhance the flexibility and efficiency of your data integration processes by allowing you to deploy specific components based on your business needs, rather than deploying the entire setup each time.
The advantages are manifold: increased efficiency in data operations, reduced downtime, and optimized resource usage. Furthermore, it can facilitate iterative development and testing processes, enabling you to incrementally improve and expand your data pipelines based on evolving requirements and feedback.
Automate you Azure Database Deployment and Security with Visual Studio & DevOps
On this session I will show the audience how to create a Visual Studio Database Project (DACPAC), import into it a schema from an existing database and define an environment-scope security configuration using pre-deployment scripts to securely provision users using both Azure Entra ID and SQL Authentication methods, lastly, I will show how to deploy the database via DevOps YAML pipelines targeting different environments.
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