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August 2023

Collaborating with Colleagues using Power BI Collaboration Features

In the realm of data analytics, collaboration is a cornerstone of success. Power BI offers a suite of powerful collaboration features that enable you and your colleagues to work together seamlessly, unravel insights, and drive informed decisions. Collaboration within Workspaces Workspace Creation: Create a workspace to serve as a collaborative hub for data exploration. Workspace […]

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Setting Up and Managing Data Gateways for On-Premises Data Sources

Data is at the heart of business insights, and sometimes that data resides on your organization’s premises. Power BI bridges this gap with its Data Gateway feature, allowing you to securely access and refresh on-premises data sources. Understanding Data Gateways At its core, a Data Gateway acts as a bridge, facilitating data flow between on-premises

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Using Hierarchies and Custom Sorting in Data Models

Effective data analysis relies on the ability to organize and present information logically. Power BI equips you with powerful tools like hierarchies and custom sorting to achieve just that. This detailed guide walks you through each step, ensuring you can harness the full potential of these features to create well-structured and visually appealing data narratives.

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Implementing Advanced Relationships (Many-to-Many, Bidirectional)

Power BI’s ability to establish relationships between data tables is a cornerstone of effective data analysis. Yet, there’s a whole world of advanced relationship concepts like many-to-many and bidirectional relationships that can elevate your insights even further. In this comprehensive guide, we’ll go through these kind of relationship dynamics, empowering you to use them for

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Implementing Conditional Logic

Conditional logic is your key to unlocking dynamic data transformations and visualization in Power BI. This guide walks you through the process of implementing conditional logic to tailor your data analysis and presentation. Creating Conditional Columns Go to the “Home” tab and click “Transform Data” to enter Power Query Editor. Inside Power Query Editor, you

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Applying Advanced Data Transformation Techniques (Merging queries, Unpivoting data)

In this guide, we will go through advanced data transformation techniques. These techniques include merging, pivoting, and reshaping your data, resulting in insightful analytics that drive decision-making process. Merging Queries Open Power BI Desktop and load your data sources. Click the “Home” tab and select “Transform Data” to enter Power Query Editor. Define your merging

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