GeoSpatially Enabling Your Big Data Apache Clusters with LocationTech

Explore geospatial data processing at scale in this 46-minute conference talk from Devoxx. Dive into the challenges of handling large geospatial datasets and learn how LocationTech projects integrate with Apache frameworks to enhance big data analysis. Discover the capabilities of GeoTrellis, GeoWave, and GeoMesa in enabling location-based queries on massive datasets. Gain insights into processing pipelines, spatial curves, and the application of these technologies in climate forecasting, flood modeling, and elevation profiling. Understand the integration of geospatial libraries with Apache Spark and the use of Python bindings for raster data manipulation. Learn about the role of web servers in data ingestion and the benefits of open-source geospatial libraries. Get involved in the LocationTech community and explore the potential of geospatially enabled big data clusters for answering complex location-based questions.

Introduction
Processing geospatial data at scale
What is processing geospatial data
geospatial data at scale
processing data scale
Apache Spark
Spatial Curves
GeoTroll
Process vs User
Processing Pipeline
Dynamic Pipeline
Less Flexibility
Static vs Dynamic
Web servers
In ingest
Elevation
Spark
Pyramid
Map
Blue Ridge Mountains
National Data
Flood Modeling
Climate Forecasting
Open Source Libraries
Raster Data
Python bindings
Geo Docker
Get involved
Elevation profile