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Maps and Spatial Databases: How to use them
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What spatial and mapping features are in Oracle Database, and how do you use them? Siva Ravada of Oracle explains.
01:04 Intro to Oracle’s spatial platform
07:25 Typical applications for spatial technologies (transportation, land management, web maps for business applications…)
09:42 Spatial datatype and SQL queries native to Oracle Database
17:55 GeoJSON support, spatial operators and functions, spatial and maps in Oracle applications, tools, BI (eg Apex, SQL Developer)
21:02 Components for map visualization – web map server and APIs
23:33 Georaster data type (satellite imagery, aerial photos, sensor data)
26:00 Network data model, routing and geocoding engines
30:00 3D point clouds / Lidar, Berlin city modeling example
31:17 Spatial Studio – self-service spatial analytics tool for fast and easy maps (no coding)
35:15 Performance and scalability – addresses the toughest spatial data management challenges
40:15 Spatial on Big Data platforms (Hadoop, Spark, Big Data Cloud Service)
44:15 Summary, Q & A highlights (with Dan Geringer of Oracle)
Boost performance with spatial vector acceleration parameter, how to ingest different spatial data formats into the database, JSON/GeoJSON/Oracle REST Data Services
51:05 Helpful links and resources
Resources:
01:04 Intro to Oracle’s spatial platform
07:25 Typical applications for spatial technologies (transportation, land management, web maps for business applications…)
09:42 Spatial datatype and SQL queries native to Oracle Database
17:55 GeoJSON support, spatial operators and functions, spatial and maps in Oracle applications, tools, BI (eg Apex, SQL Developer)
21:02 Components for map visualization – web map server and APIs
23:33 Georaster data type (satellite imagery, aerial photos, sensor data)
26:00 Network data model, routing and geocoding engines
30:00 3D point clouds / Lidar, Berlin city modeling example
31:17 Spatial Studio – self-service spatial analytics tool for fast and easy maps (no coding)
35:15 Performance and scalability – addresses the toughest spatial data management challenges
40:15 Spatial on Big Data platforms (Hadoop, Spark, Big Data Cloud Service)
44:15 Summary, Q & A highlights (with Dan Geringer of Oracle)
Boost performance with spatial vector acceleration parameter, how to ingest different spatial data formats into the database, JSON/GeoJSON/Oracle REST Data Services
51:05 Helpful links and resources
Resources:
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