Name: Power BI deployments with Azure DevOps and Development Pipelines
Start: 2021-02-16T17:00:00+01:00
End: 2021-02-16T18:30:00+01:00

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Hi everyone, this event is going to be streamed online on https://www.twitch.tv/czechpass If you want to raise questions and comment during the session please register on Twitch!

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Czech PASS would like to invite you to another Power BI event. This time with a great speaker from Holland - Marc Lelijveld! So, no surprise that it is going to be held in English.

Description:

In Power BI we are used to create reports and dashboards really quickly, but in most cases, we forget to think about governance, development and maintenance at an enterprise-wide scale.
During this session I share some best practices about applying DTAP (Development, Production, Acceptance and Production), or better known as multi-tier deployment.

By using Azure DevOps for deployment, we bring back the structure and use a self-service tool in an enterprise environment. Beside deployment there is also version control and enterprise roll-out of your content in a managed structure.

In this session:
- Azure DevOps
- PowerShell
- Power BI REST API
- Development Pipelines

Technical session for enterprise deployments of Power BI. Basic understanding of Azure DevOps and deployment frameworks is useful but not required.

Speaker's Bio:
Marc is Data Platform MVP, Power BI enthusiastic, public speaker and passionate for everything which transforms data into action! Working at Macaw in the Netherlands as a Data & AI consultant.

What I like the most? Sharing my thoughts, experience, best-practices and enthusiasm about Microsoft data platform with others. I mostly do this in public speaking at user groups, conferences, customer presentations and end-user training. Besides that, I also have my own blog which you can find at https://data-marc.com/

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Štěpán Rešl

Czech PASS

Technology

Business Intelligence

Data Management

Database Development

Microsoft Azure

Data Science

Power BI

Database Professionals

Data Analytics

Business Intelligence & Data Warehousing

Data Architecture

Data Engineering

Test Automation

Data Governance