We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

State of GeoMesa

16
 Cite
 Share
 Download
 Purchase
No logo availableFOSS4G
 Hughes, James

Formal Metadata

Title
State of GeoMesa
Title of Series
Number of Parts
237
Author
Contributors
License
CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
LocationTech GeoMesa is a suite of tools for working with big geo-spatial data by leveraging big data technologies like Apache projects like HBase, Kafka, NiFi, and Spark to enable persistence, streaming, ETL, and analysis. In this talk, we will give background information about the core capabilities of GeoMesa and additionally discuss recent improvements in GeoMesa 3.x over the last year. These changes include support for newer versions of Scala (enabling Spark 3.x support), Kafka, and HBase/Accumulo. Other improvements include new features which help improve use of GeoMesa components in Docker and Kubernetes. LocationTech GeoMesa is a suite of tools for working with big geo-spatial data by leveraging big data technologies like Apache projects like HBase, Kafka, NiFi, and Spark to enable persistence, streaming, ETL, and analysis. In this talk, we will give background information about the core capabilities of GeoMesa and additionally discuss recent improvements in GeoMesa 3.x over the last year. These changes include support for newer versions of Scala (enabling Spark 3.x support), Kafka, and HBase/Accumulo. Other improvements include new features which help improve use of GeoMesa components in Docker and Kubernetes. Track – Software Topic – Software status / state of the art Level – 3 - Medium. Advanced knowledge is recommended.