YoVDO

Large Scale Geospatial Indexing and Analysis on Apache Spark

Offered By: Databricks via YouTube

Tags

Geospatial Analysis Courses Cloud Computing Courses Amazon Web Services (AWS) Courses SQL Courses Apache Spark Courses Delta Lake Courses MLFlow Courses

Course Description

Overview

Explore large-scale geospatial indexing and analysis using Apache Spark in this 23-minute conference talk by Databricks. Delve into the challenges of processing geospatial data at scale, examining open-source frameworks like Apache Sedona and its improvements over conventional technology. Learn about spatial data structures, formats, and indexing techniques such as H3. Discover how these components integrate into a cloud-first architecture utilizing Databricks, Delta, MLFlow, and AWS. Examine practical examples of geospatial analysis with complex geometries and spatial queries. Gain insights into augmenting analysis with machine learning modeling, human-in-the-loop annotation, and quality validation. The talk covers topics including spatial indexing, use cases, SQL queries, spatial joins, geometry overlap, and overall architecture, providing a comprehensive overview of large-scale geospatial data processing and analysis techniques.

Syllabus

Introduction
About Safegra
Processing
Spatial Indexing
Use Cases
Safecraft Approach
SQL Query
Spatial Join
Geometry Overlap
Architecture
Blog


Taught by

Databricks

Related Courses

Software as a Service
University of California, Berkeley via Coursera
Software Defined Networking
Georgia Institute of Technology via Coursera
Pattern-Oriented Software Architectures: Programming Mobile Services for Android Handheld Systems
Vanderbilt University via Coursera
Web-Technologien
openHPI
Données et services numériques, dans le nuage et ailleurs
Certificat informatique et internet via France Université Numerique