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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.

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

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.

🎙️ 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:

• 5 min: Intro to PyMC Labs and speakers
• 45 min: Presentation, panel discussion
• 10 min: Q&A

💼 About the speaker:

1. Corey Abshire, Senior AI Specialist Solutions Architect, DataBricks Corey Abshire is a Senior Specialist Solutions Architect focused on GenAI and ML in Communications, Media and Entertainment. Prior to Databricks, Corey was a Principal Machine Learning Engineer at Cummins Inc., working on critical data science and machine learning initiatives for quality, engineering, and manufacturing. He holds an M.S. in data science from Indiana University in Bloomington, IN.

🔗 Connect with Corey: 👉 Linkedin: https://www.linkedin.com/in/coreyabshire/

1. Will Dean, Principal Data Scientist, PyMC Labs Will Dean is a Statistician and Data Scientist with experience in geospatial and user analytics. He is passionate about Bayesian methods and using data visualization to tell a story. He is interested in software design and how it can make data problems easier and more enjoyable to solve.

🔗 Connect with Will Dean: 👉 Linkedin: https://www.linkedin.com/in/williambdean/ 👉 Github: https://github.com/wd60622/

💼 About the Host:

1. Thomas Wiecki (Founder of PyMC Labs) Dr. Thomas Wiecki is an author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world-class team of Bayesian modelers and founded PyMC Labs -- the Bayesian consultancy. He did his PhD at Brown University studying cognitive neuroscience. 🔗 Connect with Thomas: 👉 Linkedin: https://www.linkedin.com/in/twiecki/ 👉 Website: https://www.pymc-labs.com/, https://twiecki.io/ 👉 GitHub: https://github.com/twiecki 👉 Twitter: https://twitter.com/twiecki

📖 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/

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!