

Location Intelligence with Maps and GeoAnalytics in Microsoft Fabric
βπ Tuesday, June 23, 2026 β° 7:30 β 9:00 AM PT | 10:30 AM β 12:00 PM ET | 2:30 β 4:00 PM GMT | 3:30 β 5:00 PM WAT | 8:00 β 9:30 PM IST πΊ Free YouTube Livestream with Full Replay
βSpeaker: Philippa Burgess, MA, MS, MSL
βModerators: Lehlohonolo Mofula, Thummalacherla Krishnakanth, and Nikitha S
βThis is Session 1 of the Microsoft Fabric Location Intelligence & Security User Group Data Days series, running June through August 2026. ποΈ
βLocation is one of the most powerful signals in your data. This session introduces Microsoft Fabric users to location intelligence, interactive mapping, and geospatial analytics β and shows how ArcGIS Maps for Microsoft Fabric brings these capabilities directly into your Fabric workspace.
βWhether you are a data engineer, analytics engineer, or Fabric practitioner who has never worked with geospatial data, this session gives you a practical foundation for thinking about where as a first-class dimension of your analytics.
βπ WHAT THIS SESSION COVERS
βMost data platforms treat location as an attribute. This session treats it as a signal β one that changes what you see, what you decide, and what you miss when it is absent.
βπ TOPICS
βπ£ Why Location Intelligence Belongs in Microsoft Fabric β’ What location intelligence is and why it matters for data professionals β’ How spatial patterns reveal what tables and charts cannot β’ Where location adds value across industries: risk, logistics, public sector, operations, and AI
βπ’ ArcGIS Maps for Microsoft Fabric β’ What ArcGIS Maps for Microsoft Fabric is and how it works as a Fabric workload β’ How to add the workload to your tenant from the Workload Hub β’ Connecting your lakehouse data to ArcGIS Maps for Fabric β’ Adding content from ArcGIS Online to enrich your Fabric data β’ Smart mapping suggestions and how they guide your visualization choices β’ Mapping styles available in ArcGIS Maps for Fabric: heat maps, aggregated points, comparison maps, and more β’ Saving, sharing, and working with Web Map files in your Fabric workspace
βπ GeoAnalytics in Microsoft Fabric β’ How geospatial data flows through OneLake β’ Visualizing OneLake data alongside business, demographic, lifestyle, and environmental data β’ Identifying spatial patterns, relationships, and trends that are invisible in standard reports β’ Integrating data from ArcGIS and open-source geospatial datasets β’ Practical examples: mapping business data, operational signals, and location-aware AI inputs
βπ΅ Live Demonstration β’ End-to-end walkthrough: from lakehouse data to a published interactive map inside Microsoft Fabric β’ Creating a heat map using demo data in ArcGIS Maps for Microsoft Fabric β’ Aggregating point data to visualize dense datasets β’ Connecting ArcGIS Online content to a Fabric workspace
βπ₯ WHO SHOULD ATTEND
βThis session is for Microsoft Fabric users who want to add location intelligence to their analytics toolkit, including:
ββ Data Engineers and Analytics Engineers β Fabric Practitioners and Architects β Power BI Developers expanding into spatial analytics β GIS Analysts moving into the Microsoft Fabric ecosystem β Data professionals curious about geospatial data and mapping in Fabric
βNo prior GIS experience required. π οΈ
βπΊ FORMAT
βInteractive YouTube livestream with full replay available after the event. Bring your questions β this session includes live Q&A.
ββΉοΈ ABOUT THIS SERIES
βThis session is part of the Microsoft Fabric Location Intelligence & Security User Group Data Days series, a set of focused 90-minute sessions running June through August 2026 on YouTube.
βSeries arc: π
βJune 23: Location Intelligence with Maps and GeoAnalytics in Microsoft Fabric πΏ
βJune 27: Global Fabric Day 2026: Security, Location & Intelligence in Microsoft Fabric π
βJune 30: Get to Know Esri: From Living Atlas to Spatial Analysis for Fabric Users π
βJuly 7: Data and AI Security and Governance in Microsoft Fabric π§
βJuly 21: Fabric IQ for Data Professionals π
βJuly 25: Win in the Seams: Stitching Together Data and Security with Microsoft Fabric, KQL, and Data Logs πͺ‘
βJuly 28: KQL for Data and Security Professionals β‘