User:Interdasic/sandbox: Difference between revisions

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===Data delivery===
An interoperable [[Open Geospatial Consortium|OGC]]/[[International Organization for Standardization|ISO]]-based application, ERDAS APOLLO implements a variety of compliant web services<ref> Vector1Media: Spatial Sustain Blog, March 24, 2011 [http://www.vector1media.com/spatialsustain/erdas-11-world-tour-stop-at-digitalglobe.html?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+SpatialSustain+%28Spatial+Sustain%29 "ERDAS 11 World Tour Stop at DigitalGlobe"] </ref> including, but not limited to, comprehensive [[Web Map Service]] (WMS), [[Web Coverage Service]] (WCS), [[Catalog Service for the Web]] (CS-W), [[Web Feature Service]] (WFS), transactional Web Feature Service (WFS-T), Web Map Context (WMC), Web Map Tile Service (WMTS), [[Web Processing Service]] (WPS) and [[ISO 19115]]/19139 metadata standards. ERDAS APOLLO also employs the proprietary high performance streaming imagery protocol Enhanced Compression Wavelet Protocol ([[ECW (file format)|ECWP]]), which enables serving over 5,000 clients with just one standard server. Data may also be delivered as tiles using standard or proprietary services such as Optimized Tile Delivery Format (OTDF) <ref>GeoInformatics Magazine, April/May 2010 [http://fluidbook.webtraders.nl/geoinformatics/03-2010/#48 Optimized Tile Delivery Format]</ref>, and full download or provisioning of data via clip-zip and ship is supported.
 
===Server-side Geoprocessing===
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===IT standards===
ERDAS APOLLO is built on IT standards such as [[Java Platform, Enterprise Edition|JavaEE]] and [[Representational state transfer|REST]], and supports [[Microsoft SQL Server]], [[Oracle Corporation|Oracle]], and [[PostgreSQL]] [[relational database management system]]s (RDBMS) for persisting intelligent metadata and application specific information. ERDAS APOLLO may be deployed on-site, in a [[cloud computing]] environment<ref> GISCafe.com, August 9, 2010 [http://www10.giscafe.com/nbc/articles/view_weekly.php?articleid=850358 "Introducing ERDAS APOLLO on the Cloud"]</ref>, and supports clustering.
 
===Industries served===
ERDAS APOLLO suits a wide spectrum of organizations<ref>Vector1Media: V1 Magazine, May 17, 2010 [http://www.vector1media.com/dialog/interviews/13054-erdas-focuses-on-cutting-through-the-data-deluge.html "ERDAS Focuses on Cutting through the Data Deluge"]</ref> in industries such as government, land management, police and emergency services, defense, agriculture, forestry, transportation, utilities, and environmental monitoring.
 
===Products===