Post updated on 06/30/2019

Here is a list of videos published in june 2019 on Youtube dedicated to Power BI (in english or french [FR] languages).

Videos are sorted by duration (~10mn, < 30mn, < 60mn, > 60mn) so you will adapt your Power BI session depending on the time available.

You will find the list for 2018 Q1-Q2 here and here. Please bookmark and share.

Le présent article liste les vidéos Youtube publiées en juin 2019 consacrées à Power BI.

Les vidéos sont classées par durée (~10mn, < 30mn, < 60mn, > 60mn) afin que vous puissiez organiser votre séance Power BI en fonction du temps dont vous disposez.

Vous trouverez la liste pour 2018 ici et là. N’oubliez pas de bookmarker et partager cette page.

~10mn

• Curbal
  • Connect directly to Power BI service and analyze that data in Excel
  • Document all Power Query M code without copy pasting it
  • Convert UTC datetime to local time zones in Power Query
  • Pin custom visuals and analytical updates- Power BI Desktop update June 2019
  • DAX Fridays! #130: New comparison operator
  • [Part 1/3] Creating the storyboard for the FIFA 🏆 2019 Power BI report
  • 7 powerful 🔥 tips for Power BI
  • Create a bump or slope chart in Power BI
• Guy  in a Cube
  • Power BI Governance, Performance, email subscriptions and more… (June 3, 2019) – REPOST
  • A look at the Power BI Paginated report updates (June 2019)
  • MBAS updates – Power BI Desktop, Certified Datasets and more… (June 17, 2019)
  • 5 tips for Power BI Paginated reports
  • BYOK for Power BI Premium, Charticulator, customer stories and more… (June 24, 2019)
  • Shared & Certified datasets in Power BI
• BI Elite
  • Power BI – Dynamic Previous Period Metrics based on Date Hierarchy Level
  • Power BI – Dynamic Gauge Color (Expression-Based Formatting #2)
  • Power BI – Animate Historical Trends Over Time
• Havens Consulting
  • Two Important Tips About Renaming Columns in Power BI
  • Creating Dynamic Titles for Report Tooltips in Power BI
  • Dynamic URL’s for Images and Bookmark Buttons in Power BI
  • Advanced DAX Folder Organization in Power BI
• RADACAD
  • Date Dimension in Power BI with Financial or Fiscal Columns
  • PASS Summit 2019 Precon: AI and Power BI: The Realm of the Impossible
  • Auto mated Machine Learning
  • Previous Dynamic Period using DAX in Power BI
  • R Custom Visual for Power BI -Update for late 2018 and 2019
  • Image Tag in Power BI Service (data Flow)
  • R Custom Visual for Power BI -Overview how to Set up
• DataOnMyView
  • Integrate Azure ML Model in Power BI Data Flow | Azure ML with Power BI
  • Power BI Paginated Reports | How to create Paginated Reports on Power BI | Power BI Premium Capacity
  • Restore Recover Deleted Power BI Workspace | Power BI Admin Portal | Administration
  • Power BI Shared Datasets | Endorsement | Power BI Certified Datasets Promoted
• cfinlan
  • Paginated Report Bear interviews Adam Wilson from the Power BI team
  • Paginated Report Bear interviews Rhys Schmidtke from the Power BI team
  • Paginated Report Bear interviews Chris Webb from the Power BI CAT team
  • Paginated Report Bear interviews the SSAS Maestro, Mr Marco Russo
  • Paginated Report Bear interviews Patrick LeBlanc from the Power BI CAT team
• Avi Singh – Power BI pro
  • Power BI Latest Update: Top 5 New Features! June 2019
• Desktop Data Crunching
  • Power BI Monthly Digest – May 2019
• Enterprise DNA
  • Calculate A Monthly Moving Average Year To Date (YTD) in Power BI Using DAX
  • Calculate The Last Or Max Value Within A Table Of Data Using DAX In Power BI
  • How To Manage Multiple Date Calculations In Your Fact Tables – Advanced Power BI
  • Calculate The Occupancy Days Per Month In Power BI Using DAX
  • Calculate The Difference In Days Between Purchases Or Events In Power BI Using DAX
• Power BI Tips
  • Microsoft Business Application Summit 2019 – Ribbon Chart Demo
• Galway Movie Emporium
  • Get Adventure Works database – part 1
  • Get Adventure Works database – part 2
  • Create Date Template – part 1
  • Create Date Template – part 2
  • Create Date Template – part 3
  • Create Date Template – part 4
  • Create Sales Template – part 1
  • Create Sales Template – part 2
  • Month-over-month – part 1
  • Month-over-month – part 2
• Microsoft Power BI
  • Navigating visual data with a screen reader

< 30mn

• Curbal
  • DAX Fridays! #130: DAX 101, the basics of the DAX Language
  • Conditional formatting, filters on slicers and more, -Power BI desktop update June 2019
  • Deep dive on shared and certified datasets – Power BI Desktop update June 2019
  • DAX101: Introduction to filter and row context
• Desktop Data Crunching
  • Power BI Interview Questions 02 – Data Shaping
  • Power BI Monthly Digest – June 2019
• Microsoft Power BI
  • Power BI Desktop Update – June 2019 
  • Aggregation and composite model: Microsoft Power BI fast and furious – THR3016
  • Microsoft Power BI: Demovratizing AI in popular tools like Power BI using automated Machine Learning – THR2004
  • Microsoft Power BI: Building spectacular Power BI dashboards – THR2080
  • Microsoft Power BI: MSR project to create Power BI vizualisation – THR3008
  • Microsoft Power BI: Collaborate across organizations with Azure AD B2B and Power BI – THR2007
  • Microsoft Power BI: Deep dive into the ESRI Map Visual in Power BI – THR3001
  • Microsoft Power BI: What’s new in Power BI Desktop – THR2001
  • Microsoft Power BI: Promoting & Governing Power BI in your Organization – THR3000
  • Microsoft Power BI: Build compelling Power BI apps with the new app navigation – THR3002
  • Microsoft Power BI: Managing large-scale datasets in Power BI – THR3003
  • Build real-world visualizations for Microsoft Power BI dashboards using Visio – THR2009
  • Microsoft Power BI: What actually makes up the Power BI Eco System? – THR2079
  • Microsoft Power BI: Unleash row level security patterns in Power BI – THR3015
  • Microsoft Flow and Power BI: Build a real-time dashboard in 20 minutes – THR3004
  • Microsoft Power BI: Cash flow in Power BI and PowerApps – THR1014
  • Microsoft Power BI: Data lineage and data protection stepping to the next level – THR2075
  • Microsoft Power BI: Deep dive into SAP connectivity – THR3009
  • Microsoft Power BI: Deep dive into SAP connectivity – REPEAT – THR3014
  • Microsoft Power BI: How Microsoft Finance uses our analytics tools to manage spend – part 1 – THR2035
  • Microsoft Power BI: How Microsoft Finance uses our analytics tools to manage spend – part 2 – THR3017
  • AI and Microsoft Power BI: The realm of impossible – THR2038

< 60mn

• Enterprise  DNA
  • Scenario Analysis Patterns in Power BI using DAX
• Club Power BI  [FR]
  • [Power Saturday 2019] – Les bonnes pratiques Power Query
  • [Power Saturday 2019] – Power BI + IA = AutoML
  • [Lille] – Raconter une histoire avec Power BI / Allumer la lumière avec Flow
• CSG Pro
  • Death vs Data Science with Power BI – Portland Power BI UG
  • How Summary Queries Help You Understand DAX – Portland Power BI UG
• Curbal
  • [Part 2/3] Builiding the visualizations for the FIFA 🏆 2019 Power BI report
  • [Part 3/3] Branding the FIFA 🏆 2019 Power BI report
• Pass Business Analytics Virtual Group
  • Power BI Streaming Datasets with Microsoft Flow with Devin knight
• Paul Peton [FR]
  • 5 sources de données pour du self service gouverné sous Power BI
• Microsoft Power BI
  • Microsoft Power BI: Building connectors- BRK4003
  • Microsoft Power BI: Enterprise reporting – BRK3042
  • Microsoft Power BI: Connect and transform data from hundreds of data sources – BRK3003
  • Microsoft Power BI: An admin’s look – BRK2038
  • Microsoft Power BI: End-to-end Power BI Desktop data modeling – BRK2078
  • Microsoft Power BI: Common Data Model and Azure Data Services – BRK3033
  • Microsoft Power BI Flow and PowerApps: Working with data in the Power Platform – BRK1006
  • Microsoft Power BI: Getting you and your organization started with Power BI Desktop – BRK2010
  • Microsoft Power BI: Building and implementing a governance strategy – BRK3041
  • Microsoft Power BI: Customer stories with Veolia and Bentley – BRK1011
  • Microsoft Power BI: What’s new in Paginated Reports – BRK2018
  • Microsoft Power BI: Enterprise-grade BI with Power BI dataflows – BRK3063
  • Microsoft Power BI: Customer stories with Atrium Health and JCI – BRK1012
  • Microsoft Power BI: Enterprise modeling with Power BI and Azure Analysis Services – BRK3064
  • Microsoft Power BI: the future of modern BI – roadmap and vision – BRK1001
  • Microsoft Power BI: My Power BI report is slow. What should I do? – BRK3022
  • Microsoft Power BI: Introduction to M in Power BI – BRK2083
  • Microsoft Power BI: Designing for high performance in Power BI – BRK2011
  • Microsoft Power BI: Deliver a powerful data story with Power BI visuals – BRK2076
  • Microsoft Power BI: Learning DAX? Five things to get you started fast – BRK1018
  • Microsoft Power BI: Introducing Power BI template apps – BRK2043
  • Microsoft Power BI: Using the Power platform to radically change your business – BRK2016
  • Microsoft Power BI: AI powered analytics – BRK2015
  • Microsoft Power BI: The Do’s and Don’ts of Power BI Relationships – BRK3019
  • Microsoft Power BI: Debugging your premium capacity – BRK3052
  • Microsoft Power BI Flow and PowerApps: Connecting to data using on-premises data – BRK3048
  • Microsoft Power BI: BI power hour – BRK1000
  • Microsoft Power BI: Introduction to Embedded Analytics – BRK2009
  • Microsoft Power BI: Troubleshouting Power BI dataset refresh failures – BRK3059
  • Microsoft Power BI: Developing with Power BI embedding – BRK3062
  • Microsoft Power BI: Real-time dashboard with Google Analytics Realtime API – BRK3065
  • Microsoft Power BI: Using Power BI as an end user on the web and mobile – tips and tricks – BRK2037
  • Microsoft Power BI: Roadmap for enterprise information management – BRK2056
  • Microsoft Power BI: Designing Professional Paginated Reports with Report Builder – BRK3025
  • Microsoft Power BI: Creating accessible Power BI reports – BRK2036
  • Microsoft Power BI: Customer stories with Fiserv and Schlumberger – BRK1014
  • Microsoft Power BI: Customer stories with Medtronic and AP Moller-Maersk – BRK1013
  • Microsoft Power BI: Premium capacity – why use it, how to plan for it – BRK2046
  • Microsoft Power BI: Customer stories with Cummins and BP – BRK1015
  • Microsoft Power BI: Mapping with Power BI – BRK2082
  • Microsoft Power BI: Customer stories with Standard Bank – BRK1016
  • Microsoft Power BI: How to build a custom visual for Power BI – BRK3020
  • Microsoft Power BI: Data visualization best practices – BRK3023
  • Microsoft Power BI: Advanced concepts in the Common Data Model – BRK3032
  • Microsoft Power BI: Democratizing self-service data prep with dataflows – BRK3051
  • Microsoft Power BI: Deep Dive into DAX Evaluation Context – BRK3060

> 60mn

• Avi Singh – Power BI pro
  • How and Why to Create a Company of One 🔴Talk Power BI LIVE (Subscribe & Join)
  • 🔴 Talk Power BI LIVE (Subscribe & Join) June 14, 2019
  • Best Practices: Rolling Out Power Bi in Your Organization 🔴Talk Power BI LIVE (Subscribe & Join)
• Club Power BI  [FR]
  • [Nantes] – Comment concilier self service BI et corporate BI ?
• Desktop Data Crunching
  • Setting Up Power BI Row Level Security
• Enterprise DNA
  • Detecting and Showcasing Outliers in Power BI – Enterprise DNA Webinar Series
• Microsoft Power BI
  • MBAS 2019 Opening keynote