Digging deeper into Data Activator in Microsoft Fabric

We look deeper at Data Activator in Microsoft Fabric with Will Thompson. He shows us how to work with real time data and also how you can leverage Power Automate from Power Platform to take action.

What is Data Activator?
https://learn.microsoft.com/fabric/data-activator/data-activator-introduction

Assign data to objects in Data Activator
https://learn.microsoft.com/fabric/data-activator/data-activator-assign-data-objects

Use Custom Actions to trigger Power Automate Flows
https://learn.microsoft.com/fabric/data-activator/data-activator-trigger-power-automate-flows

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Leverage OneLake with Azure Databricks

Want to start using Azure Databricks with OneLake in Microsoft Fabric? Patrick walks you through how to get this working! Storing the data in OneLake opens up a lot of other possibilities.

Using Azure Databricks with Microsoft Fabric and OneLake
https://blog.fabric.microsoft.com/blog/using-azure-databricks-with-microsoft-fabric-and-onelake

Integrate OneLake with Azure Databricks
https://learn.microsoft.com/fabric/onelake/onelake-azure-databricks

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Unleash the Potential of Data Activator in Microsoft Fabric

Get ready to unlock the full potential of Power BI with Data Activator in Microsoft Fabric. Join Will Thompson as he walks you through the features and benefits of this powerful tool. Whether you’re a Power BI pro or just starting out, this video has something for everyone.

What is Data Activator?
https://learn.microsoft.com/fabric/data-activator/data-activator-introduction

Get started with Data Activator
https://learn.microsoft.com/fabric/data-activator/data-activator-get-started

Will Thompson:
https://twitter.com/Will_MI77
https://www.linkedin.com/in/will-mi77/

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Why On-Object Editing in Power BI???

Curious about why Power BI introduced On-object editing? Rosie Levasseur joins us to explain why! We’ve come to love it and hope you give it a try.

Use on-object interaction with visuals in your report (preview)
https://learn.microsoft.com/power-bi/create-reports/power-bi-on-object-interaction

Roseanne Levasseur
https://www.linkedin.com/in/roseanne-levasseur/

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Exploring Ceiling, Floor, Ceiling.Math, and Floor.Math Functions in Excel and Power Query: A Guide

In the realm of numerical precision, Excel provides an array of functions to manipulate data accurately. Among these, Ceiling, Floor, Ceiling.Math, and Floor.Math functions play a pivotal role in rounding numbers to specific intervals. Additionally, when working with extensive datasets, Excel’s Power Query offers an advanced platform for data transformation. In this comprehensive guide, we will explore how to utilize Ceiling, Floor, Ceiling.Math, and Floor.Math functions in both Excel and Power Query, empowering you with enhanced data manipulation techniques.

Understanding Ceiling, Floor, Ceiling.Math, and Floor.Math Functions:

Before we delve into their applications, let’s understand the functionalities of these functions. The Ceiling function rounds a number up, away from zero, to the nearest multiple of significance. The Floor function rounds a number down, towards zero, to the nearest multiple of significance. Ceiling.Math and Floor.Math are specialized versions of these functions, offering precise control over the rounding process.

Ceiling, Floor, Ceiling.Math, and Floor.Math in Excel:

In Excel, employing these functions is straightforward. Consider a dataset with decimal values representing product prices:

  1. Ceiling Function in Excel: =CEILING(A2, 1) This formula rounds up the value in cell A2 to the nearest multiple of 1.
  2. Floor Function in Excel: =FLOOR(A2, 1) This formula rounds down the value in cell A2 to the nearest multiple of 1.
  3. Ceiling.Math Function in Excel: =CEILING.MATH(A2, 1) This formula rounds up the value in cell A2 to the nearest multiple of 1, similar to the Ceiling function.
  4. Floor.Math Function in Excel: =FLOOR.MATH(A2, 1) This formula rounds down the value in cell A2 to the nearest multiple of 1, similar to the Floor function.

Ceiling, Floor, Ceiling.Math, and Floor.Math in Power Query:

In Power Query, these functions extend your data transformation capabilities:

  1. Ceiling Function in Power Query: =Table.TransformColumns(Source, {{"Price", each Number.RoundUp(_, 0), type number}}) This formula rounds up the ‘Price’ column to the nearest whole number in the Power Query editor.
  2. Floor Function in Power Query: =Table.TransformColumns(Source, {{"Quantity", each Number.RoundDown(_, 0), type number}}) This formula rounds down the ‘Quantity’ column to the nearest whole number in the Power Query editor.
  3. Ceiling.Math Function in Power Query: =Table.TransformColumns(Source, {{"Value", each Number.RoundUp(_, 1), type number}}) This formula rounds up the ‘Value’ column to the nearest multiple of 1 in the Power Query editor.
  4. Floor.Math Function in Power Query: =Table.TransformColumns(Source, {{"Amount", each Number.RoundDown(_, 1), type number}}) This formula rounds down the ‘Amount’ column to the nearest multiple of 1 in the Power Query editor.

Applications and Benefits:

Understanding how to apply Ceiling, Floor, Ceiling.Math, and Floor.Math functions in both Excel and Power Query empowers you with precise control over numerical data. Whether you’re dealing with financial calculations, inventory management, or scientific analysis, these functions ensure your numbers align perfectly with your specific requirements, providing accuracy and reliability in your calculations.

Conclusion:

Mastering the Ceiling, Floor, Ceiling.Math, and Floor.Math functions in both Excel and Power Query equips you with advanced tools for nuanced data manipulations. By following the examples provided in this guide, you can confidently round numbers up or down, ensuring your data is finely tuned for comprehensive analysis and well-informed decision-making. Embrace the power of these functions in both Excel and Power Query, and elevate your data processing capabilities to new heights. Happy analyzing!

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Want to Unlock the Secrets in Your Data?

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Numbers Don’t Lie

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The Human Element

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