Daniel Geringer
Senior Manager, Software Development, Oracle

Daniel Geringer graduated with a Bachelor of Science degree in Computer Science and Applied Mathematics and Statistics from the State University of New York at Stony Brook in 1987. He worked at General Dynamics Electric Boat Division, a US defense contractor, from 1988 through 1993 as a senior software engineer. While at General Dynamics, he completed his Master of Science degree in Computer Science at Rensselaer Polytechnic Institute in 1992. In 1993, he started working for The Analytic Sciences Corporation (TASC) as a senior software engineer. Through research and development projects at TASC, he began to explore and help solve customer GIS interoperability issues.

In 1994, Geringer was exposed to an Alpha version of Oracle Spatial. This brought him to Oracle in 1995, as a key member of the Oracle Spatial development team.His primary tasks include working with GIS and Image Processing partners to help integrate Oracle’s Spatial technologies, test and develop Oracle Spatial enhancements, work with customers, provide customer/partner feedback to the Oracle development team, write material for Oracle University (OU) spatial courses and help train OU instructors to teach Oracle’s spatial technologies.

Learn to Build an Analytics Solution with Oracle’s Spatial Tools and Platform

Whether it's marketing analysis to send customers mailers from their closest store, or to find the closest repair depots to a portion of rail that needs to be serviced, very often the result is based on drive time analysis, not as the crow flies analysis. Learn how to optimize strategies and solve these network based requirements, without computing every possible point to point drive time calculation.  This hands-on workshop will walk you through building an end to end application that maximizes performance, and optimizes hardware resources to solve massive drive time analysis requirements.  The application will be based on Oracle Spatial and Graph's geocoder, router, and network graph technologies, and on Oracle Fusion Middleware MapViewer.

*Attendees will be expected to provide their own laptops; the virtual machine will be available for download in advance of the workshop. Attendance is limited – preregistration is required.

Prerequisites:
Attendees should have some knowledge of Java, SQL and PL/SQL. The workshop will use an Oracle Virtual Box Linux based image pre-configured with the required Oracle software and HERE sample data for San Francisco. The image will be available for download by attendees prior to the workshop. It uses Oracle Enterprise Linux so some experience with invoking scripts and using text editors on Linux (vi or gedit) will be beneficial.

Hardware and software requirements:

  • Laptop (quad-core preferred)
  • Virtual Box 4.2 or later (www.virtualbox.org)
  • Minimum 8Gb RAM (16Gb preferred): The VM requires 6GB and two processors to run.
  • Minimum 100Gb free disk space (the image is approximately a 17Gb download that requires an additional 60 Gb of disk during import)

Effectively Utilize LIDAR Data In Your Business Processes

Daniel Geringer, Senior Manager, Software Development

Many organizations collect large amounts of LIDAR, or point cloud data for more precise asset management.  Often, thousands of flat files are archived in ways that limit spatial search capabilities.
ROI of the high costs associated with this type of data acquisition is frequently compromised by
the under utilization of the data.  This session focus on ways to leverage
Oracle Engineered Systems to highly compress and seamlessly store LIDAR data  and effectively search it spatially in its compressed form to enhance your business process.
Topics covered included loading, compressing, pyramiding, searching and generation of derivative
products such as DEMs, TINs, and Contours.