Geospatial Analytics and AI at Scale with Lakehouse Architecture

Explore the cutting-edge world of geospatial analytics and AI at scale in this comprehensive workshop. Discover how enterprises can leverage diverse geospatial data sources, including high-resolution images, streaming video, and GPS data, to deliver innovative solutions across various industries. Learn about the challenges organizations face in preparing complex datasets for analytics and the expertise required to utilize advanced tools and open-source spatial frameworks. Gain insights into building powerful AI applications using a Lakehouse architecture for geospatial data processing, analytics, and visualization. Understand the evolution of geospatial analytics beyond static maps and explore real-world use cases demonstrating the power of advanced analytics in this field. Dive into topics such as data architecture, machine learning integration, multicloud environments, and specific applications like flood modeling. Follow along with practical demonstrations using Databricks tools, including workspace setup, repositories, spatial indexing, and data analytics flows.

Intro
Presenters
Workshop Agenda
About Databricks
Everyone is becoming a data AI company
The 4 truth truths
Fully embracing machine learning and AI
The breadth of the ecosystem
Multicloud
Data Architecture
Challenges
The Lake House
Mark
Stantec
Why is flooding important
Data Science and Engineering
Digital Elevation Model
Databricks
Point Reference
Data Analytics Flow
Indexing
Level 7 Notebook
Databricks Workspace
Repositories
Spatial Indexing
Pulling in Data
Indexing Data
Temporary Table