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1
Introduction
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Processing geospatial data at scale
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What is processing geospatial data
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geospatial data at scale
5
processing data scale
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Apache Spark
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Spatial Curves
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GeoTroll
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Process vs User
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Processing Pipeline
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Dynamic Pipeline
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Less Flexibility
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Static vs Dynamic
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Web servers
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In ingest
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Elevation
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Spark
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Pyramid
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Map
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Blue Ridge Mountains
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National Data
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Flood Modeling
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Climate Forecasting
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Open Source Libraries
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Raster Data
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Python bindings
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Geo Docker
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Get involved
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Elevation profile
Description:
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.

GeoSpatially Enabling Your Big Data Apache Clusters with LocationTech

Devoxx
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