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Geospatial data in Databricks
2025-12-11 · 09:00
Want to grow your organization with Geospatial insights through Databricks? Learn the fundamentals to successfully work with Geospatial data in Databricks - in our one-day training! Besides the basics, we will cover topics such as when to migrate to Databricks, and the interoperability between FME, ArcGIS, and Databricks. You will gain hands-on experience with location allocation, sky view factor, and so much more. More information can be found here: https://revodata.nl/databricks-geospatial/ Please note this is a paid event, tickets and registration are required. As this is a hands-on training with interactive labs, we have space for max 15 participants. |
Geospatial data in Databricks
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Geospatial Data on Databricks
2025-11-05 · 12:00
Most organizations capture huge volumes of spatial data, including addresses, coordinates, routes, and catchments, but struggle to operationalize it at scale. Traditional GIS (Geographic Information Systems) tools are powerful but isolated; unlocking value requires integrating spatial analytics directly within your data platform. In this session, we’ll cover: - Geospatial fundamentals on Databricks: understanding geometry vs. geography, coordinate systems, and H3 grids. - Scaling challenges: Combining spatial and business data, processing millions of coordinates efficiently, and maintaining real-time freshness. - Databricks capabilities: How Spatial SQL, Lakeflow, and Unity Catalog enable native spatial processing, federated access, and governed sharing across teams. - Applied use cases: From network optimisation to asset tracking and location-based insights across industries. We'll finish with a live demo, see how raw coordinates become actionable intelligence within the Lakehouse. Why Attend: - Learn how to bring geospatial analytics natively into Databricks. - Discover best practices for scaling spatial workloads efficiently. - Understand how Unity Catalog underpins governance and reusability. - See real-world examples and a live demo in action. Join us to learn how Databricks unifies spatial and analytical workloads, delivering governed, high-performance geospatial insight at enterprise scale. This session will be delivered by Unifeye's CDO and Databricks Champion Bianca Stratulat, and Senior Data Engineers, Jordan Begg and Hasnat Abdul |
Geospatial Data on Databricks
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Sponsored by: Deloitte | Analyzing Geospatial Data at Scale in Databricks for Environment & Agriculture
2025-06-11 · 23:10
Luke Teacy
– Associate Director - AI & Data
@ Deloitte
Analyzing geospatial data has become a cornerstone of tackling many of today’s pressing challenges from climate change to resource management. However, storing and processing such data can be complex and hard to scale using common GIS packages. This talk explores how Deloitte and Databricks enable horizontally scalable geospatial analysis using delta lake, H3 integration and support for geospatial vector and raster data. We demonstrate how we have leveraged these capabilities for real-world applications in environmental monitoring and agriculture. In doing so, we cover end-to-end processing from ingestion, transformation and analysis to production of geospatial data products accessible by scientists and decision makers through standard GIS tools. |
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Geospatial Insights With Databricks SQL: Techniques and Applications
2025-06-10 · 22:40
Michael Johns
– Lead Geospatial Product Specialist
@ Databricks
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Kent Marten
– Staff Product Manager
@ Databricks
Spatial data is increasingly important, but working with it can be complex. In this session, we’ll explore how Databricks SQL supports spatial analysis and helps analysts and engineers get more value from location-based data. We’ll cover what’s coming in the Public Preview of Spatial SQL, when and how to use the new Geometry and Geography data types, and practical use cases for H3. You’ll also learn about common challenges with spatial data and how we're addressing them, along with a look at the near-term roadmap. |
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Geo-Powering Insights: The Art of Spatial Data Integration and Visualization
2025-06-10 · 22:00
Mathieu Pelletier
– Specialist Solutions Architect
@ Databricks
In this presentation, we will explore how to leverage Databricks' SQL engine to efficiently ingest and transform geospatial data. We'll demonstrate the seamless process of connecting to external systems such as ArcGIS to retrieve datasets, showcasing the platform's versatility in handling diverse data sources. We'll then delve into the power of Databricks Apps, illustrating how you can create custom geospatial dashboards using various frameworks like Streamlit and Flask, or any framework of your choice. This flexibility allows you to tailor your visualizations to your specific needs and preferences. Furthermore, we'll highlight the Databricks Lakehouse's integration capabilities with popular dashboarding tools such as Tableau and Power BI. This integration enables you to combine the robust data processing power of Databricks with the advanced visualization features of these specialized tools. |
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Chris Crawford
– Sr. Solutions Archtect
@ Databricks
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Hobson Bryan
– Associate Director of Technology
@ Global Water Security Center
The Global Water Security Center translates environmental science into actionable insights for the U.S. Department of Defense. Prior to incorporating Databricks, responding to these requests required querying approximately five hundred thousand raster files representing over five hundred billion points. By leveraging lakehouse architecture, Databricks Auto Loader, Spark Streaming, Databricks Spatial SQL, H3 geospatial indexing and Databricks Liquid Clustering, we were able to drastically reduce our “time to analysis” from multiple business days to a matter of seconds. Now, our data scientists execute queries on pre-computed tables in Databricks, resulting in a “time to analysis” that is 99% faster, giving our teams more time for deeper analysis of the data. Additionally, we’ve incorporated Databricks Workflows, Databricks Asset Bundles, Git and Git Actions to support CI/CD across workspaces. We completed this work in close partnership with Databricks. |
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Sponsored by: Lovelytics | Predict and Mitigate Asset Risk: Unlock Geospatial Analytics with GenAI
2025-06-10 · 15:00
Cindy Hoffman
– Director of Enterprise AI
@ Xcel Energy
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Giacomo Listi
– Practice Lead, Energy & Utilities
@ Lovelytics
Discover how Xcel Energy and Lovelytics leveraged the power of geospatial analytics and GenAI to tackle one of the energy sector’s most pressing challenges—wildfire prevention. Transitioning from manual processes to automated GenAI unlocked transformative business value, delivering over 3x greater data coverage, over 4x improved accuracy, and 64x faster processing of geospatial data. In this session, you'll learn how Databricks empowers data leaders to transform raw data, like location information and visual imagery, into actionable insights that save costs, mitigate risks, and enhance customer service. Walk away with strategies for scaling geospatial workloads efficiently, building GenAI-driven solutions, and driving innovation in energy and utilities. |
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[Online] MMM with PyMC Marketing and Databricks
2025-01-23 · 17:00
🎙️ Speaker: William Dean\, Corey Abshire\, Thomas Wiecki \| ⏰ Time: 5 PM UTC / 9 AM PT / 12 PM ET / 6 PM Berlin In this event, we will discuss how customers can use Databricks to develop and productionize MMM models for their companies. By combining Databricks capabilities in consolidating, organizing and securing data pipelines and manage ML models and pipelines with PyMC-Marketing’s easy to use modelling capabilities, companies can bring develop sophisticated MMM models to help understand, optimize and forecast their marketing budgets. 📜 Outline of Talk / Agenda:
💼 About the speaker:
🔗 Connect with Corey: 👉 Linkedin: https://www.linkedin.com/in/coreyabshire/
🔗 Connect with Will Dean: 👉 Linkedin: https://www.linkedin.com/in/williambdean/ 👉 Github: https://github.com/wd60622/ 💼 About the Host:
📖 Code of Conduct: Please note that participants are expected to abide by PyMC's Code of Conduct. 🔗 Connecting with PyMC Labs: 🌐 Website: https://www.pymc-labs.com/ 👥 LinkedIn: https://www.linkedin.com/company/pymc-labs/ 🐦 Twitter: https://twitter.com/pymc_labs 🎥 YouTube: https://www.youtube.com/c/PyMCLabs 🤝 Meetup: https://www.meetup.com/pymc-labs-online-meetup/ |
[Online] MMM with PyMC Marketing and Databricks
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London Databricks Meetup May 2024
2024-05-02 · 17:00
Welcome to the London Databricks Meetup May 2024 Gen AI Edition! Join us for an exciting evening of Gen AI insights, expert sessions, and networking. Event Schedule: 18:00 - 18:15: Arrival & Networking Mingle with fellow data enthusiasts and professionals. 18:15 - 18:30: Opening Remarks & Introductions Get to know your fellow attendees and the organizers. 18:30 - 19:00: How we built DBRX - an open high-quality LLM -- Jonathan Frankle -- Chief Scientist\, Neural Networks @ Databricks and Co-Founder of MosaicML We are excited to introduce DBRX, an open, leading, general-purpose LLM created by Databricks. It provides the open community and enterprises building their own LLMs with capabilities previously limited to closed model APIs. According to our measurements, it surpasses GPT-3.5 and is competitive with Gemini 1.0 Pro. It is an especially capable code model, surpassing specialized models like CodeLLaMA-70B on programming, in addition to its strength as a general-purpose LLM. 19:00 - 19:30: Streamlining Large Language Model (LLM) Operations with MLflow: A Comprehensive Overview -- Sepideh Ebrahimi -- Senior Specialist Solution Architect @ Databricks 19:30 - 20:00: Geospatial Data within Databricks -- Luke Menzies -- Principal AI Consultant @ Advancing Analytics 20:00 onwards: Pizza, Drinks & Networking Enjoy some delicious pizza and beverages while networking with peers. Date and Location: Date: 2nd May Venue: IDEAL London Join us for a fantastic evening of learning and networking at the London Databricks meetup! |
London Databricks Meetup May 2024
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Self-Service Geospatial Analysis Leveraging Databricks, Apache Sedona, and R
2023-07-26 · 21:11
Geospatial data analysis is critical to understanding the impact of agricultural operations on environmental sustainability with respect to water quality, soil health, greenhouse gasses, and more. Outside of a few specialized software products, however, support for spatial data types is often limited or missing from analytics and visualization platforms. In this session, we show how Truterra is using Databricks, Apache Sedona, and R to analyze spatial data at scale. Additionally, learn how Truterra uses spatial insights to educate and promote practices that optimize profitability, sustainability, and stewardship outcomes at the farm. In this session, you will see how Databricks and Apache Sedona are used to process large spatial datasets including field, watershed, and hydrologic boundaries. You will see dynamic widgets, SQL and R used in tandem to generate map visuals, display them, and enable download all from a Databricks notebook. Talk by: Nara Khou and Cort Lunke Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc |
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From Insights to Recommendations:How SkyWatch Predicts Demand for Satellite Imagery Using Databricks
2023-07-26 · 21:06
Aayush Patel
– Data & Platform Engineer
@ SkyWatch
SkyWatch is on a mission to democratize earth observation data and make it simple for anyone to use. In this session, you will learn about how SkyWatch aggregates demand signals for the EO market and turns them into monetizable recommendations for satellite operators. Skywatch’s Data & Platform Engineer, Aayush will share how the team built a serverless architecture that synthesizes customer requests for satellite images and identifies geographic locations with high demand, helping satellite operators maximize revenue and satisfying a broad range of EO data hungry consumers. This session will cover:
Talk by: Aayush Patel Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc |
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US Army Corp of Engineers Enhanced Commerce & National Sec Through Data-Driven Geospatial Insight
2023-07-26 · 21:06
The US Army Corps of Engineers (USACE) is responsible for maintaining and improving nearly 12,000 miles of shallow-draft (9'-14') inland and intracoastal waterways, 13,000 miles of deep-draft (14' and greater) coastal channels, and 400 ports, harbors, and turning basins throughout the United States. Because these components of the national waterway network are considered assets to both US commerce and national security, they must be carefully managed to keep marine traffic operating safely and efficiently. The National DQM Program is tasked with providing USACE a nationally standardized remote monitoring and documentation system across multiple vessel types with timely data access, reporting, dredge certifications, data quality control, and data management. Government systems have often lagged commercial systems in modernization efforts, and the emergence of the cloud and Data Lakehouse Architectures have empowered USACE to successfully move into the modern data era. This session incorporates aspects of these topics: Data Lakehouse Architecture: Delta Lake, platform security and privacy, serverless, administration, data warehouse, Data Lake, Apache Iceberg, Data Mesh GIS: H3, MOSAIC, spatial analysis data engineering: data pipelines, orchestration, CDC, medallion architecture, Databricks Workflows, data munging, ETL/ELT, lakehouses, data lakes, Parquet, Data Mesh, Apache Spark™ internals. Data Streaming: Apache Spark Structured Streaming, real-time ingestion, real-time ETL, real-time ML, real-time analytics, and real-time applications, Delta Live Tables. ML: PyTorch, TensorFlow, Keras, scikit-learn, Python and R ecosystems data governance: security, compliance, RMF, NIST data sharing: sharing and collaboration, delta sharing, data cleanliness, APIs. Talk by: Jeff Mroz Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc |
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Mosaic: A Framework for Geospatial Analytics at Scale
2022-07-19 · 16:48
In this session we’ll present Mosaic, a new Databricks Labs project with a geospatial flavour. Mosaic provides users of Spark and Databricks with a unified framework for distributing geospatial analytics. Users can choose to employ existing Java-based tools such as JTS or Esri's Geometry API for Java and Mosaic will handle the task of parallelizing these tools' operations: e.g. efficiently reading and writing geospatial data and performing spatial functions on geometries. Mosaic helps users scale these operations by providing spatial indexing capabilities (using, for example, Uber's H3 library) and advanced techniques for optimising common point-in-polygon and polygon-polygon intersection operations. The development of Mosaic builds upon techniques developed with Ordnance Survey (the central hub for geospatial data across UK Government) and described in this blog post: https://databricks.com/blog/2021/10/11/efficient-point-in-polygon-joins-via-pyspark-and-bng-geospatial-indexing.html Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/ |
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Cloud Native Geospatial Analytics at JLL
2022-07-19 · 16:42
Yanqing Zeng
– Lead Data Scientist
@ JLL
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Luis Sanz
– CEO
@ CARTO
Luis Sanz, CEO of CARTO and Yanqing Zeng, Lead Data Scientist at JLL, take us through how cloud native geospatial analytics can be unlocked on the Databricks Lakehouse platform with CARTO. Yanqing will showcase her work on large scale spatial analytics projects to address some of the most critical analysis use cases in Real Estate. Taking a geospatial perspective, Yanqing will share practical examples of how large-scale spatial data and analytics can be used for property portfolio mapping, AI-driven risk assessment, real estate valuation and more. Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/ |
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GIS Pipeline Acceleration with Apache Sedona
2022-07-19 · 16:18
In CKDelta, we ingest and process a massive amount of geospatial data. Using Apache Sedona together with Databricks have accelerated our data pipelines many times. In this talk, we'll talk about migrating the existing pipelines to Sedona + PySpark and the pitfalls we encountered along the way. Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/ |
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From PostGIS to Spark SQL: The History and Future of Spatial SQL
2022-07-19 · 16:18
In this talk, we'll review the major milestones that have defined Spatial SQL as the powerful tool for geospatial analytics that it is today. From the early foundations of the JTS Topology Suite and GEOS and its application on the PostGIS extension for PostgreSQL, to the latest implementation in Spark SQL using libraries such as the CARTO Analytics Toolbox for Databricks, Spatial SQL has been a key component of many geospatial analytics products and solutions, leveraging the computing power of different databases with SQL as lingua franca, allowing easy adoption by data scientists, analysts and engineers. The latest innovation in this area is the CARTO Spatial Extension for Databricks, which makes the most of the near-unlimited scalability provided by Spark and the cutting-edge geospatial capabilities that CARTO offers. Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/ |
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