Oracle Big Data Spatial and Graph – Introduction to Graph and Spatial Analytics

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Oracle Spatial and Graph offers a broad range of spatial datatype support, spatial analysis, graph analysis, and associated web services – native to Oracle Database.

• It stores and manages data like cities, customer addresses, warehouse location (or points), roads or rivers (lines), and sales territories, zip code boundaries, or states (polygons).  And the geometric representations are stored right along with the business data in an Oracle table.
• Additionally, Oracle Spatial and Graph supports more advanced data types and analysis. These include geocoding and routing engines, satellite imagery and gridded rasters, laser-scanned or Lidar point cloud data are also supported. A topology model (for land management applications), Network graphs model road or other transportation networks, and utilities, and RDF graphs support linked data/social applications.  


  Date and Time

  Location

  Hosts

  Registration



  • Date: 16 Dec 2016
  • Time: 07:00 PM to 09:00 PM
  • All times are (GMT-05:00) US/Eastern
  • Add_To_Calendar_icon Add Event to Calendar
  • 88 Commercial Street
  • MANCHESTER, New Hampshire
  • United States
  • Building: University of New Hampshire Manchester Campus

  • Contact Event Host
  • Starts 26 January 2016 09:00 PM
  • Ends 16 December 2016 09:00 PM
  • All times are (GMT-05:00) US/Eastern
  • No Admission Charge


  Speakers

DR. BARIS M. KAZAR

Topic:

Oracle Big Data Spatial and Graph – Introduction to Graph and Spatial Analytics

Oracle Spatial and Graph offers a broad range of spatial datatype support, spatial analysis, graph analysis, and associated web services – native to Oracle Database.


• It stores and manages data like cities, customer addresses, warehouse location (or points), roads or rivers (lines), and sales territories, zip code boundaries, or states (polygons).  And the geometric representations are stored right along with the business data in an Oracle table.

• Additionally, Oracle Spatial and Graph supports more advanced data types and analysis. These include geocoding and routing engines, satellite imagery and gridded rasters, laser-scanned or Lidar point cloud data are also supported. A topology model (for land management applications), Network graphs model road or other transportation networks, and utilities, and RDF graphs support linked data/social applications.  

DR. BARIS M. KAZAR

Topic:

Oracle Big Data Spatial and Graph – Introduction to Graph and Spatial Analytics

Biography:






Agenda

1. Pizza and Refreshments

2. Talk

3. Q/A