Data Engineering and Dataflows in Power BI

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Python
Python
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Power BI
Power BI
Excel
Excel
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Process Automation
Process Automation

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About This Path

In this learning path, you will delve deep into the transformative power of Data Engineering with Dataflows in Power BI, emphasizing the importance of centralized data management for efficient reporting. The path offers a comprehensive guide on how to architect your Power BI deployment, ensuring consistency and best practices across teams.
You'll explore the capabilities of Power BI and data flows, understanding how they can replace traditional data engineering methods. The focus is not just on individual tools but on crafting a coherent data story, ensuring that your reports resonate with stakeholders.
By mastering these techniques, you'll be equipped to create compelling, high-quality reports and visualizations that truly harness the power of your data.

Who Should Take This Path

  • Individuals keen on mastering data engineering and centralized data management in Power BI
  • Professionals aiming to streamline their organization's data reporting and visualization processes
  • Analysts and data enthusiasts who want to tell compelling stories with their data using Power BI

What Are The Path Requirements

  • A working knowledge of Power BI's basic functionalities
  • Access to Power BI Desktop and Power BI Service
  • Eagerness to explore advanced Power BI development techniques

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Data Engineering w/ Dataflows

Learn how to become a new-age data engineer, by simply using Power BI Dataflows

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The Importance Of Data Engineering

Listen and learn as Richie Bachala discusses the practical applications of data engineering to real-world operations.

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