GeoWave- Bringing Distributed Computing to the Geospatial World
• What we'll do
The MeetUp will be held on Google Hangouts and you will be able to watch the live stream directly on YouTube.
This is a virtual Meetup occurring at 11AM Eastern Time (8AM Pacific Time, 5PM Central European Time). For help with your timezone calculation, refer to this (https://time.is/compare/0800_30_Jan_2018_in_PT).
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Presenter: Michael Whitby
Host: Stephanie Swart
GeoWave is a software library that connects the scalability of distributed computing frameworks and key-value stores with modern geospatial software to store, retrieve and analyze massive geospatial datasets. GeoWave takes multidimensional data, such as spatial or spatial-temporal, and indexes it into a key-value store such as Apache Accumulo or Apache HBase. These distributed storage technologies, in addition to complementary distributing processing frameworks such as Apache Hadoop and Apache Spark, have proven capabilities to unlock the potential of massive datasets across a variety of domains.
In this discussion, we will give a high-level overview of how the GeoWave framework works to reduce the time needed to process, analyze and render data by multiple orders of magnitude. These demos are designed to help developers who would like to take advantage of the benefits of distributed computing when working with geospatial data. We will use GeoWave to ingest multiple data types and then perform various analytics on that data. We will also go over the robust cli commands in the GeoWave framework as well as GeoWave’s integration with GeoServer and our many deployment options.
Michael Whitby is a Software Engineer in the Radiant Solutions group of Maxar Technologies. He works on the GeoWave open source project and has had his writing about the framework published in Advances in Spatial and Temporal Databases. He is a U.S. Navy veteran and received his master’s in Software Engineering from Pennsylvania State University.