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UID:pretalx-foss4g-europe-2025-UA9CRS@talks.staging.osgeo.org
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DESCRIPTION:Handling "big data" (large volumes of data) primarily generated
  by automated weather stations and their installed sensors\, requires spec
 ial attention across the processes of data collection\, processing/transfo
 rmation\, storage\, presentation\, and delivery. \n\nThe first step is ide
 ntifying data sources and selecting appropriate access methods. Next comes
  data transformation\, which depends on the data type and the relational d
 atabase model (RDBMS) into which we plan to transfer it using adequate ETL
  tools. A critical aspect is ensuring the storage model accommodates heter
 ogeneous sources while remaining efficient for access and delivery. The fi
 nal step involves interfaces\, either machine-based (API) or user-based (U
 I)\, that enable seamless data access and consumption. \n\nChallenges incr
 ease significantly when dealing with spatial data\, which comes in various
  forms\, including numerical measurements\, raster satellite imagery\, rad
 ar images\, and numerical forecasting models. \n\nEach stage demands thoro
 ugh planning and optimization to handle billion-record tables and terabyte
 s of raster data effectively. \n\nIn this presentation\, we will share our
  experiences in managing large datasets from diverse location and weather 
 sensors\, as well as spatial imagery\, highlighting the complexities of pr
 ocessing and visualizing data.
DTSTAMP:20260527T015046Z
LOCATION:SA02
SUMMARY:Big Data – Managing Large Volumes of Data from Diverse Sources - 
 Igor Karuza
URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/UA9CRS/
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