Speaker

Martin Pitzing

Martin Pitzing

ACP IT Solutions, Multi Cloud Architect

Vienna, Austria

Martin Pitzing is a Cloud Architect at ACP IT Solutions with a background in Data Engineering, BI, Kubernetes, MS Azure, and Amazon Web Services. Starting from a business perspective, Martin Pitzing developed deep insights into data visualization, modeling, and data pipeline design. Having worked at large enterprises as well as small boutiques, incorporating security and governance is a top priority for him and his works with his clients. Currently, he is focusing on data analytics platforms, IasC, containerization, and all about Power Platform environment and integration thereof.

Area of Expertise

  • Information & Communications Technology

Topics

  • Cloud Architecture
  • Azure
  • aws
  • Data Systems
  • data engineering
  • Business Intelligence
  • Kubernetes
  • cloud
  • Cloud Computing
  • Cloud & DevOps
  • Cloud & Infrastructure
  • Cloud Automation
  • Azure App Service
  • Azure (Public/Hybrid)
  • Azure AD
  • Azure Analysis Services
  • Azure Dev
  • DevOps
  • devops security
  • Microsoft Azure DevOps

Extend Power Platforms' capability through Azure technologies

Power Platform allows "citizen developers" or aspiring low-code business developers to use functionality already in production in Azure for their works with PowerApps or Power Automate. Many infrastructure-as-code deployments made with LogicApps, Functions, or API Management can be integrated with Power Platform.

In this session, I want to shed light on how to help users of the Power Platform easily consume APIs hosted with API management. We will also identify gaps in the functionality of PowerAutomate and how to address them with Azure Functions and LogicApps, or Event Hub.
To complete the session, we will look at rights and roles, and tasks arising from applying these with Azure and PowerPlatform.

DataOps mit Azure - Design und Umsetzung einer DataOps Architecture für DevOps

DataOps verspricht Verbesserungen bei Qualität und Cycle Times für Data Analytics. Mittels Sample-Architektur in Azure können kontinuierlich neue oder sich ändernde Datenquellen und Umgebungen per Infrastructure as Code erstellt und erfasst werden. Ein Pipeline as Code-Ansatz ermöglicht CI/CD entlang fixed-code und fixed-data - Perspektiven für Sandboxen und Analyst-Umgebungen.

In der Session betrachten wir hands-on IasC-basiertes Deployment und Azure DevOps Integration mit Azure Data Factory, Azure Data Lake Storage, Synapse Analytics und Databricks, wie eine Integration mit Data Validation erstellt wird und welche Erkenntnisse sich für Entwickler von kleinen wie mittelgroßen Umgebungen ableiten lassen.

Experts Live Austria 2022 Sessionize Event

June 2022 Linz, Austria

Global Azure Austria 2022 Sessionize Event

May 2022

Azure Developer Community Day 2021 (hybrid Edition) Sessionize Event

December 2021 Munich, Germany

aMS Southeast Asia 2021 Sessionize Event

October 2021

Experts Live Austria 2021-2 Sessionize Event

September 2021 Linz, Austria

Martin Pitzing

ACP IT Solutions, Multi Cloud Architect

Vienna, Austria

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