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New card visual | Public preview
New card visual | Public preview
Power BI Desktop has a new card visual that allows users to display multiple cards in a single container with full control over each card’s components. It supports multiple fields and offers refined formatting settings.
tommypuglia·powerbi.microsoft.com·
New card visual | Public preview
Microsoft Fabric - Beyond Hype and Marketing! - Data Mozart
Microsoft Fabric - Beyond Hype and Marketing! - Data Mozart
Microsoft just announced their brand new data solution! But, is it really new? Or, is it simply rebranding of the existing offering? In this article, we'll look beyond the hype and marketing and explain Microsoft Fabric in plain English!
tommypuglia·data-mozart.com·
Microsoft Fabric - Beyond Hype and Marketing! - Data Mozart
40 Days of Fabric: Day 1 - DataVeld
40 Days of Fabric: Day 1 - DataVeld
Reading Time: 1 minute Forty Days of Fabric! Learn a bit about Microsoft Fabric every day. Maybe you caught the announcements around Microsoft Build nearly three weeks ago, but there is so much new material to digest with the evolution of Microsoft analytics with...
tommypuglia·dataveld.com·
40 Days of Fabric: Day 1 - DataVeld
Calculating the trend of a Chart using DAX ( Smoothing Moving Average)
Calculating the trend of a Chart using DAX ( Smoothing Moving Average)
Calculating the trend of a line chart can be possible using the Analytics tab under the format section of the chart. What if we need to store this calculation and reuse it or show it as a separate chart? Actual Chart as below The trend of the chart The first question is about calculating the Read more about Calculating the trend of a Chart using DAX ( Smoothing Moving Average)[…]
tommypuglia·radacad.com·
Calculating the trend of a Chart using DAX ( Smoothing Moving Average)
Power Up with Power BI and Lakehouse in Azure Databricks: part 3 - Tuning Azure Databricks SQL
Power Up with Power BI and Lakehouse in Azure Databricks: part 3 - Tuning Azure Databricks SQL
This is the third post in a 3-part blog series on Power BI with Azure Databricks SQL authored by Andrey Mirskiy and Diego Fanesi. Read Part 1: Power Up your BI with Microsoft Power BI and Azure Databricks Lakehouse: part 1 - Essentials and Part 2: Power Up your BI with Microsoft Power BI and Lakehou...
tommypuglia·techcommunity.microsoft.com·
Power Up with Power BI and Lakehouse in Azure Databricks: part 3 - Tuning Azure Databricks SQL
Re: How to filter data from Dax
Re: How to filter data from Dax
Hi, This measure worksMeasure = COUNTROWS(FILTER(VALUES('Table'[ID]),CALCULATE(COUNTROWS('Table'),'Table'[status]="approve")=1&&CALCULATE(COUNTROWS('Table'),'Table'[status]="reject")=0)) Hope this helps.
tommypuglia·community.fabric.microsoft.com·
Re: How to filter data from Dax
Importing Delta table from OneLake to PowerBI
Importing Delta table from OneLake to PowerBI
A very quick blog on how to import Delta Table to PowerBI Desktop, probably your first question is why ? doesn’t the new Direct Lake solve that ? Direct lake assumes the compute to be running…
tommypuglia·datamonkeysite.com·
Importing Delta table from OneLake to PowerBI
Introducing the end-to-end scenarios in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Introducing the end-to-end scenarios in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
In this blog article, we will explore four end-to-end scenarios that are typical paths our customers take to extract value and insights from their data using Microsoft Fabric. In these scenarios, we will show you how Fabric seamlessly addresses common architectural scenarios with a single service that encompasses data ingestion, transformation, storage, and exposure through reports or SQL endpoints.
tommypuglia·blog.fabric.microsoft.com·
Introducing the end-to-end scenarios in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Contextualized Insights: Six Ways To Put Your Numbers In Context
Contextualized Insights: Six Ways To Put Your Numbers In Context
When you share insights with audiences, they must be put in context so they can be fully understood and appreciated. While almost everyone would agree on the importance and value of context, there is little-to-no guidance on how to contextualize numbers. In this post, I share six ways in which you can add valuable background information to your key insights so they can resonate more deeply with audiences.
Without context, a piece of information is just a dot
Whenever you fail to properly contextualize your insights, you put them at risk of being misunderstood, overlooked, and ignored
tommypuglia·effectivedatastorytelling.com·
Contextualized Insights: Six Ways To Put Your Numbers In Context
Are You Asking Too Much of Your Chief Data Officer?
Are You Asking Too Much of Your Chief Data Officer?
Since the first chief data officer was appointed at Capital One in 2002, the role has been plagued by confusion about its purpose. In studying CDOs and their roles over the past decade, the authors identified seven key types of CDO jobs, each distinct enough that it would be difficult or impossible for one person to perform all of them well. Understanding what a given organization expects of its CDO, and then matching capabilities with those expectations, can be the key to longer, more effective, and happier CDO tenures.
tommypuglia·hbr.org·
Are You Asking Too Much of Your Chief Data Officer?
Two Important Perspectives On Why Data Storytelling Matters
Two Important Perspectives On Why Data Storytelling Matters
When people are asked why data storytelling matters, most of the focus is on the benefits that can be derived by the individuals communicating the insights. However, there are two key perspectives to consider when contemplating why it matters--that of the sender and that of the receiver. While individuals will gain much from developing data storytelling skills, it's ultimately the audiences who will be the greater beneficiaries. This article explores how each side benefits from data storytelling and how data stories can collectively enhance your organization's overall success.
tommypuglia·effectivedatastorytelling.com·
Two Important Perspectives On Why Data Storytelling Matters
Becoming a Data Engineering Force Multiplier
Becoming a Data Engineering Force Multiplier
By Daniel Beach author of Data Engineering Central As the landscape becomes increasingly data-driven, fueled by the rise of ML and AI, the importance of data engineering as a function continues to climb steadily year after year. Organizations now rely heavily on data to make every decision; data has become a requirement across every business unit, with the desire for more never stopping.
tommypuglia·seattledataguy.substack.com·
Becoming a Data Engineering Force Multiplier
A Data Storyteller’s Guide To Avoiding Clutter
A Data Storyteller’s Guide To Avoiding Clutter
In data storytelling, you want your signal (insight) to be understood and acted on by your audience. Frequently, noise in the data or design can interfere with your message. In this article, I review five categories of potential clutter and provide recommendations on how to avoid clutter in the data scenes of your data stories.
tommypuglia·effectivedatastorytelling.com·
A Data Storyteller’s Guide To Avoiding Clutter
Fueling Creativity: Introducing our Power Platform Prompt Samples Repository! | Power Platform Developer Blog
Fueling Creativity: Introducing our Power Platform Prompt Samples Repository! | Power Platform Developer Blog
We are thrilled to announce the launch of our new Power Platform Prompt Samples library, housed on Github! This repository is dedicated to showcasing a variety of prompts that can be used to power up your experiences in the Power Platform using GPT models.
tommypuglia·devblogs.microsoft.com·
Fueling Creativity: Introducing our Power Platform Prompt Samples Repository! | Power Platform Developer Blog