Oracle Spatial User Conference  - GITA Conference Seattle

http://www.gita.org/events/annual/31/Oracle.asp
Oracle Spatial User Conference
Please note that online registration for this event is now closed.
Thursday, March 13, 2008
Sheraton Seattle Hotel
1400 6th Avenue
Seattle, Washington USA
GITA invites you to attend the Oracle Spatial Users Conference. If you are currently a user, solutions provider, or systems integrator who depends upon Oracle’s spatial technologies, or if you want to learn why thousands of organizations use Oracle’s spatial database and application server capabilities, this is one event you won’t want to miss.
Learn about the latest Oracle geospatial technologies and the business and technical benefits they provide as users, solutions providers and Oracle executives share real world experience with the world's most widely used geospatial information technology platform.
More details will be posted soon—sign up for e-mail updates today!
ORACLE SPATIAL USER CONFERENCE AT GITA
Thursday, March 13, 2008—Seattle, Washington
Preliminary Agenda
Please check back for updates in the future. This agenda is subject to change.
Feb. 12 Update: Complete user sessions schedule and abstracts posted
Wednesday, March 12
6:00 – 8:30 p.m.      Oracle Spatial User Conference Reception — Cirrus Ballroom, Sheraton Seattle Hotel
Open to registered & paid user conference attendees only. Registration will be available at the door.
Thursday, March 13
8:00 – 8:30 a.m.
Oracle Spatial Special Interest Group Meeting
8:30 – 9:00 a.m.      Welcome – Oracle
9:00 – 10:30 a.m.
Maps in Business Solutions and Applications (Jayant Sharma)
* Fusion Middleware and BI
* OGC Web Services
* Work and Asset Management
* Mobile Workforce Management
10:30 – 11:00 a.m.
Break
11:00 a.m. – Noon
Oracle Spatial 11g – Technical Overview (Siva Ravada)
* What’s Better?
* What’s New?
* What Would You Like To See?
12:00 – 1:30 p.m.
Award Luncheon
1:30 – 3:00 p.m.
TECHNICAL USE CASES – USER SESSIONS
Track A
Mapping & Business Intelligence Applications in Insurance and Retail
Audatex Insight: Claims Analytics with Oracle Business Intelligence Enterprise Edition and Oracle MapViewer
Yasser Kanoun, Principal Consultant, KPI Partners
Sally Suico, Audatex
Audatex Insight is a claim analytics application that presents automobile claims data in graphical and geographical views for management decision support.
This presentation describes how the integration of Oracle MapViewer with OBIEE dashboards allowed Audatex to display claim analytics geographically. For instance, a user can view the average cost of car repair variance, for a specific insurance company compared to whole industry, on US map at desired geographical levels.
CatPortal's LocWizard: An Innovative Approach to Mapping Insurance Risk Intelligence and Enabling Faster Decision Making
Guru Rao, President, Catastrophe Systems,
Aon Re Services, Inc.
Deepak Badoni, Vice President, Catastrophe Systems, Aon Re Services, Inc.
Instant access to policy and location level insurance data is one of the keys to faster decision making during and after a catastrophe event. Using Oracle Business Intelligence Enterprise Edition and Oracle MapViewer, Aon Re Global has developed an industry leading business intelligence and mapping tool that allows users to seamlessly navigate between reports and maps.
The design was driven entirely by their clients’ need to answer key questions about their exposures and losses to catastrophes. The system uses a blend of custom programming and out-of-the-box functionality to create an interface that allows users to create powerful visualizations and reports with a few mouse-clicks – which previously took days, even weeks of manual effort.
Unobtrusive Spatial Enablement of the Oracle Business Intelligence Suite at RL Polk
Steven Pierce, Principal, Johnston McLamb
Robert Murray, Technical Product Manager, RL Polk
This presentation will describe RL Polk’s approach to integrating Oracle MapViewer into Oracle Business Intelligence Suite using Oracle MapViewer's Non-Spatial Data Provider. The NSDP brought an elegant and efficient approach to integrating spatial and non-spatial data in real time.
Track B
Oracle Spatial in Public Sector
Maximizing the Value of Cuyahoga County-Wide GIS Using Oracle Spatial and Oracle Fusion Middleware
J. Kevin Kelley, Geospatial Information Officer, Cuyahoga County
G. Patrick Zhu, Software Systems Developer,Michael Baker Corporation
Discover how to leverage Oracle Spatial and Fusion Middleware technologies to solve current complex county-wide Geospatial needs. Cuyahoga is implementing a cutting-edge architecture to support Grid computing, service-oriented architecture (SOA) and event-driven architecture (EDA) that delivers unprecedented flexibility, performance and scalability.
Web Mapping with Microsoft Virtual Earth and Oracle 10g in U.S. EPA's Grant Tracking Systems
Trevor Quinn, Principal Developer, Systalex Corporation
This presentation details how a U.S. EPA enterprise web application was "geo-enabled" using Microsoft Virtual Earth and Oracle Application Express, and how the back-end Oracle 10g database was transformed into a spatial data engine for Virtual Earth. The presentation demonstrates how to make Oracle MapViewer maps available to commercial mapping APIs as cached tiles, and describes how to serve feature data directly from the database to Virtual Earth using AJAX and PL/SQL.
Automatic Vehicles Monitoring System at Cotral
Giovanni Corcione, Sales Consultant, Oracle Italy
Paolo Castagno, Principal Consultant, Oracle Italy
Diego Ponzi, Production Monitoring- Innovation Manager, Cotral SPA
The Automatic Vehicles Monitoring (AVM) system at Cotral SPA monitors a fleet of 1600 buses that take about 4600 trips per day on a "near real time" basis. Through GPRS/HTTP, buses send information such as position, events, alarms, timing, schedule to a central system for storage and analysis in the Spatial Data Infrastructure, based on Oracle Spatial, for bus monitoring, mapping, reporting and trip planning. With Oracle’s linear referencing, buses can be located and displayed in real time. The Oracle MapViewer browser front-end renders interactive maps with dynamic bus positions according to routes and bus stop positions. A demo will be shown.
3:00 – 3:30 p.m.
Break / Vendor Booths
3:30 – 5:15 p.m.
TECHNICAL USE CASES – USER SESSIONS
Track A
Utilities Case Studies
A Case Study: Re-engineering Cable Industry Business Processes with Spatial Database Technologies
Dennis Beck, President, Spatial Business Systems
This presentation highlights how a suite of customer-service related business applications are being deployed to change cable industry. An overview of the key design criteria will be presented along with highlights of the technical challenges that were faced in building a large-scale set of applications. Details of the applications will be highlighted as well as an overview of the technical implementation considerations and challenges. The presentation will conclude with a demonstration.
Web based geospatial business applications - embedding the CAD/GIS client
Philip O'Doherty, CEO, eSpatial Inc.
Jon Polay, VP Sales, eSpatial Inc.
This talk looks at the emerging drive towards development of geospatial GIS/CAD features within web enabled business applications. It has always been a goal to embed CAD like capabilities within business applications, but it is only recently that the required database and software infrastructure has made this possible. Leading Wireless Telecommunications Company, Verizon, will present its VEGA Application. This demo includes CAD data editing and manipulation features, seamlessly provided as an end to end process, all accessible within a pure web browser.
Foundations of the New Enterprise: Managing Critical Business Data using Oracle Spatial
Justin Lokitz, Director of Sales Engineering Organization Leica Geosystems Geospatial Imaging
Washington Suburban Sanitary Commission (WSSC) is among the top ten Water and Waste Water utilities in the United States. Early on, to support its business needs with regards to geospatial data, WSSC had built a system using software from many traditional GIS vendors that lacked integration and support for many vital business processes. In 2006 WSSC moved all enterprise data to Oracle Spatial (vector and raster data) and implemented the Leica Geosystems' ADE suite.
Modeling Utility Networks with Oracle Spatial Network Data Model
Peter Manskopf, Senior Consultant, GE Energy
The capabilities in Oracle Spatial allowed GE to build its next generation GIS client using Oracle Spatial as the data repository. The Oracle Spatial network data model provides the primitive spatial data structures required to model and meet the complex needs of utility customers. This presentation will give a technical overview how an electrical utility network can be modeled using the Oracle network topology model. The presentation will cover: How Oracle Spatial data structures can be used to model a connected utility network. How the SDO_NET API is used to perform different types of network tracing crucial to utilities. A demo will show the GE client performing network operations on Oracle Spatial.
     Track B
Oracle Spatial in Public Sector & Map Production
Using Oracle Spatial and MapViewer for Evaluation of Urban Area Development in Brazil
Andre Luis Carvalho da Motta e Silva, Stategical Projects Director, CODEPLAN
Gustavo Neves de Andrade Lemes, Consultant, Sete Serviços
Fernando Targa, Development Director, GEMPI
To meet information demand concerning income and job generation programs implemented by Brazil’s Federal District Economic Development Office (SDE), the Federal District Planning Company developed the Urban Areas Management System (SIGAU). Local areas are evaluated through performance indexes that take into account urban features, land plot, block and district, and analysis/simulation of a large volume of data from many governmental offices and systems. Thematic maps enable follow up and decision making on current programs. Oracle Spatial, GeoRaster and MapViewer provide a safe, high performance implementation platform. A demo will be shown.
Creation, Publication & Update of Maps out of Databases
Sebastien Lanoe, Product Marketing Manager, Lorienne SA
The production of maps out of GIS databases is often a challenging process. Lorienne innovates with a new map production environment for map creation, map publication and map updates from Oracle Spatial, with a focus on high quality, production cost, data integrity and diversification of map products across media. The case study with Tele Atlas data stored in Oracle Spatial will address the benefits, the level of quality, the efficiency of the production process and its dedicated user-friendly environment.
Reengineering Desktop Thick Workgroups into Web
Rich Enterprise Clients
Bryan Hall, Spatial Architect, L-3 Communications
Jeff Walawender, Senior Software Engineer, L-3 Communications
Cost cutting requires reengineering spatial solutions to directly address business requirements. But enterprise computing for spatial data has, with even "Web 2.0", required the user to lose the responsiveness and feedback that traditional desktop thick client GIS software has provided. We took a different approach in the re-engineering effort and concentrated on making it work as much like a traditional desktop thick client - while simplifying use, making editing more reliable, and actually speeding up rendering. All this, while only supporting one versioned Oracle Spatial database, and application tier for all users.
Complete eGovernment solution at City of Bolzano
Stefan Putzer, CreaForm
Giulio Lavoriero, Director of Engineering, CreaForm
The City of Bolzano, Italy has a unique, complete editing and publishing environment for geographical data. The Oracle Spatial-based enterprise editing environment supports import and export into geospatial tools from Bentley and ESRI, and network modeling from Oracle Spatial. Data is shared with GeoJAX, an easy-to-use geographical web browser that uses the Oracle MapViewer framework in combination with J2EE and AJAX for browsing Oracle Spatial data. This provides a flexible viewer supports spatial queries, and can be fully customized (style and functionality). Users can easily import any kind of geographical data from an ESRI file, edit it with a CAD precision functionality and make those data visible to anyone via the web in a very short time.
5:00 – 5:30 p.m.
Closing Reception
Questions about the Oracle Spatial Users Conference? Contact us!
Phone: 303-337-0513 Fax: 303-337-1001 E-mail: [email protected]

Hi:
Some updates regarding the Oracle Spatial User Conference 2008.
1 - Presentations are now available at
http://www.oracle.com/technology/products/spatial/htdocs/spatial_conf_0803_idx.html
All submitted presentations have been posted except for the 3:30 track B slides. Those will be available in a day or two.
2 - Survey for Conference Attendees: If you attended the conference, please take a few minutes to complete the brief survey: http://www.zoomerang.com/Survey/survey-intro.zgi?p=WEB227LQXQUMMD.
Take the survey by April 2 to be entered in a random drawing to receive a copy of the Pro Oracle Spatial for Oracle Database 11g book. We'll also give away 10 GITA shoulder bags.
Thanks to the speakers, sponsors, and participants for a great conference!

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    Hi,
    The schedule for this conference is now available. See:
    http://www.gita.org/events/annual/28/Oracle.html
    This is truly meant to be a worldwide event, and looking at the agenda shows there is an item for international attendees. Perhaps one of the topics could include how to bring a conference such as this to Europe.
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    Telefonica: Geospatial Database for Operations and Engineering
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  • Oracle Spatial User Conference -  Phoenix, Az   Apr 29th 2010- Agenda

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    Thanks

  • Oracle Spatial - inserts/updates to geometry tables

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  • Oracle spatial... how to begin...

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    Thanx

    The best way to start is to
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    Jon.

    If you have access to oracle-metalink:
    [NOTE:220484.1] Steps for Manual Installation of Oracle9i Spatial
    [NOTE:110217.1] SDO 8.1.x: Steps for Manual Installation of Oracle 8i Spatial Data Option
    regards

  • Where is the documentation for Oracle Spatial Relational Model?

    Hi,
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    Can anybody help me, where I find the "Oracle Spatial Relational Model Guide and Reference"?

    Thanks! But just i have read this information. And in the documentation for spatial 9.0.1 there is one document only, and in this document there is a Note that reference to nonexistent document with title "Oracle Spatial Relational Model Guide and Reference" this is the document that i'm searching.
    Thank you for your help!

  • Oracle Spatial Performance with 10-20.000 users

    Does anyone have any experience when Oracle Spatial is used with say 20.000 concurrent users. I am not interested in MapViewer response time, but lets say there is:
    - an app using 800 different tables each having an sdo_geometry column
    - the app is configured with different tables visible on different view scales
    - let's say an average of 40-50 tables is visible at any given time
    - some tables will have only a few records, while other can hold millions.
    - there is no client side caching
    - clients can zoom in/out pan.
    Anwers I am interested in:
    - What sort of server would be required
    - How can Oracle serve all that data (each Refresh renders the map and retrieves the data over the wire as there is no client side caching).
    - What sort of network infrastructure would be required.
    - Can clients connect to different servers and hence use load balancing or does Oracle have an automatic mechanism for that?
    Thanks in advance,
    Patrick

    Patrick, et al.
    There are lots of things one can do to improve performance in mapping environments because of a lot of the visualisation is based on "background" or read-only data. Here are some "tips":
    1. Spatially sort read-only data.
    This tip makes sure that data that is close to each other in space are next to each other on disk! Dan gave a good suggestion when he referenced Chapter 14, "Reorganize the Table Data to Minimize I/O" pp 580- 582, Pro Oracle Spatial. But just as easily one can create a table as select ... where sdo_filter() where the filtering object is an optimized rectangle across the whole of the dataset. (This is quite quick on 10g and above but much slower on earlier releases.)
    When implementing this make sure that the created table is created such that its blocks are next to each other in the tablespace. (Consider tablespace defragmentation beforehand.) Also, if the data is READ ONLY set the PCTFREE to 0 in order to pack the data up into as small a number of blocks as possible.
    2. Generalise data
    Rendering spatial data can be expensive where the data is geometrically detailed (many vertices) esp where the data is being visualised at smaller scales than it was captured at. So, if your "zoom thresholds" allow 1:10,000 data to be used at 1:100,000 then you are going to have problems. Consider pre-generalising the data (see sdo_util.simplify) before deployment. You can add multiple columns to your base table to hold this data. Be careful with polygon data because generalising polygons that share boundaries will create gaps etc as the data is more generalised. Often it is better to export the data to a GIS which can maintain the boundary relationships when generalising (say via topological relationships).
    Oracle's MapViewer has excellent on-the-fly generalisation but here one needs to be careful. Application tier caching (cf Bryan's comments) can help here a lot.
    3. Don't draw data that is sub-pixel.
    As one zooms out objects become smaller and smaller until they reach a point where the whole object can be drawn within a single pixel. If you have control over your map visualisation application you might want to consider setting the SDO_FILTER parameter "min_resolution" flag dynamically so that its value is the same as the number of meters / pixel (eg min_resolution=10). If this is set Oracle Spatial will only include spatial objects in the returned search set if one side of a geometry's MBR is greater than or equal to this value. Thus any geometries smaller than a pixel will not be returned. Very useful for large scale data being drawn at small scales and for which no selection (eg identify) is required. With Oracle MapViewer this behaviour can be set via the generalized_pixels parameter.
    3. SDO_TOLERANCE, Clean Data
    If you are querying data other than via MBR (eg find all land parcels that touch each other) then make sure that your sdo_tolerance values are appropriate. I have seen sites where data captured to 1cm had an sdo_tolerance value set to a millionth of a meter!
    A corollary to this is make sure that all your data passes validation at the chosen sdo_tolerance value before deploying to visualisation. Run sdo_geom.validate_geometry()/validate_layer()...
    4. Rtree Spatial Indexing
    At 10g and above lots of great work went in to the RTree indexing. So, make sure you are using RTrees and not QuadTrees. Also, many GIS applications create sub-optimal RTrees by not using the additional parameters available at 10g and above.
    4.1 If your table/column sdo_geometry data contains only points, lines or polygons then let the RTree indexer know (via layer_gtype) as it can implement certain optimizations based on this knowledge.
    4.2 With 10g you can set the RTree's spatial index data block use via sdo_pct_free. Consider setting this parameter to 0 if the table/column sdo_geometry data is read only.
    4.3 If a table/column is in high demand (eg it is the most commonly used table in all visualisations) you can consider loading (a part of) the RTree index into memory. Now, with the RTree indexing, the sdo_non_leaf_tbl=true parameter will split the RTree index into its leaf (contains actual rowid reference) and non-leaf (the tree built on the leaves) components. Most RTrees are built without this so only the MDRT*** secondary tables are built. But if sdo_non_leaf_tbl is set to true you will see the creation of an additional MDNT*** secondary table (for the non_leaf part of the rtree index). Now, if appropriate, the non_leaf table can be loaded into memory via the following:
    ALTER TABLE MDNT*** STORAGE(BUFFER_AREA KEEP);
    This is NOT a general panacea for all performance problems. One should investigate other options before embarking on this (cf Tom Kyte's books such as Expert Oracle Database Architecture, 9i and 10g Programming Techniques and Solutions.)
    4.4 Don't forget to check your spatial index data quality regularly. Because many sites use GIS package GUI tools to create tables, load data and index them, there is a real tendency to not check what they have done or regularly monitor the objects. Check the SDO_RTREE_QUALITY column in USER_SDO_INDEX_METADATA and look for indexes with an SDO_RTREE_QUALITY setting that is > 2. If > 2 consider rebuilding or recreating the index.
    5. The rendering engine.
    Whatever rendering engine one uses make sure you try and understand fully what it can and cannot do. AutoDesk's MapGuide is an excellent product but I have seen it simply cache table/column data and never dynamically access it. Also, I have been at one site which was running Deegree and MapViewer and MapViewer was so fast in comparison to Deegree that I was called in to find out why. I discovered that Deegree was using SDO_RELATE(... ANYINTERACT ...) for all MBR queries while MapViewer was using SDO_FILTER. Just this difference was causing some queries to perform at < 10% of the speed of MapViewer!!!!
    6. Consider "denormalising" data
    There is an old adage in databases that is "normalise for edit, denormalise for performance". When we load spatial data we often get it from suppliers in a fairly flat or normalised form. In consort with spatial sorting, consider denormalising the data via aggregations based on a rendering attribute and some sort of spatial unit. For example, if you have 1 million points stored as single points in SDO_GEOMETRY.SDO_POINT which you want to render by a single attribute containing 20 values, consider aggregating the data using this attribute AND some sort of spatial BUCKET or BIN. So, consider using SDO_AGGR_UNION coupled with Spatial Analysis and Mining package functions to GROUP the data BY <<column_name>> and a set of spatial extents.
    6. Tablespace use
    Finally, talk to your DBA in order to find out how the oracle database's physical and logical storage is organised. Is a SAN being used or SAME arranged disk arrays? Knowing this you can organise your spatial data and indexes using more effective and efficient methods that will ensure greater scalability.
    7. Network fetch
    If your rendering engine (app server) and database are on separate machines you need to investigate what sort of fetch sizes are being used when returning data from queries to the middle-tier. Fetch sizes for attribute only data rows and rows containing spatial data can be, and normally are, radically different. Accepting the default settings for these sizes could be killing you (as could the sort_area_size of the Oracle session the application server has created on the database). For example I have been informed that MapInfo Pro uses a fixed value of 25 records per fetch when communicating with Oracle. I have done some testing to show that this value can be too small for certain types of spatial data. SQL Developer's GeoRaptor uses 100 which is generally better (but this one can modify this). Most programmers accept defaults for network properties when programming in ADO/ODBC/OLEDB/JDBC: just be careful as to what is being set here. (This is one of the great strengths of ArcSDE: its TCP/IP network transport is well written, tuneable and very efficient.)
    8. Physical Format
    Finally, while Oracle's excellent MapViewer requires data its spatial data to be in Oracle, other commercial rendering engines do not. So, consider using alternate, physical file formats that are more optimal for your rendering engine. For example, Google Earth Enterprise "compiles" all the source data into an optimal format which the server then serves to Google Earth Enterprise clients. Similarly, a shapefile on local disk to the application server (with spatial indexing) may be faster that storing the data back in Oracle on a database server that is being shared with other business databases (eg Oracle financials). If you don't like this approach and want to use Oracle only consider using a dedicated Oracle XE on the application server for the data that is read only and used in most of your generated maps eg contour or drainage data.
    Just some things to think about.
    regards
    Simon

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