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Jim Steiner Vice President, Oracle Product Management

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2 Jim Steiner Vice President, Oracle Product Management
Thank you. I’d like to take a moment to introduce myself and explain the unique role Oracle has played in the Geospatial community for nearly two decades. I’m Jim Steiner, VP of Product management in our product development organisation. I have been responsible for Oracle’s strategy for geospatial technologies for over 15 years now. Jim Steiner Vice President, Oracle Product Management

3 David Sonnen and Dan Vesset IDC
<Insert Picture Here> Analyst View David Sonnen and Dan Vesset IDC “Oracle has taken the basic use of geospatial information within enterprise systems to a new dimension. Oracle offers a wide range of spatial capabilities across its product line … . Oracle has systematically added spatial capabilities across its database management (Oracle Spatial and Oracle Locator) and application deployment platform (Oracle MapViewer ships with Oracle Fusion Middleware). These capabilities can then be extended to Oracle's growing number of enterprise applications.” Over this time we have executed a consistent plan to add geospatial capabilities to all of our information technologies – from database systems, to application servers, to development tools , to BI and analytics, to applications products. We are committed to Open Standards. And we use our unique technologies to provide geospatial platform capabilities that simplify the creation and deployment of the largest, most versatile and flexible land management systems in the world. These include advanced geospatial capabilities for managing, analysing, querying and disseminating vectors, rasters, 3D, LiDAR and Point Cloud data, networks and topologies, as well as visualization, web map servers, and spatially enabled applications and tools. With that as a brief introduction, I’d like to talk for just the few minutes I have about a Vision for the modern Land Management  and Planning system and How new platform and infrastructure technologies have changed the landscape for these systems. Source: IDC, Worldwide Spatial Information Management Forecast and 2009 Vendor Shares

4 Factors influencing land management systems
Land reform and administrative structures Customary and Statutory land tenure Stove-piped land management repositories Local vs departmental vs national vs international needs Legacy and emerging technology platforms New technologies and paradigms Openness vs Privacy of Access The challenges faced in developing an effective, modern land management system have not changed very much over the years. There are the social issues having to do with land tenure systems. There are issues with disconnected, purpose built land management repositories to address specific needs. I’m sure this will be discussed at length during this conference.

5 Factors influencing land management systems
Land reform and administrative structures Customary and Statutory land tenure Stove-piped land management repositories Local vs departmental vs national vs international needs Legacy and emerging technology platforms New technologies and paradigms Openness vs Privacy of Access I think I’ll look a bit at how organizations manage this information, the platforms they use, the new technologies available, and how they can be incorporated into a modern, open, accessible information management platform.

6 Geographic Information Evolution and Migration
SOA Over the years, the industry has been through many changes and breakthroughs and has managed to move through these by adapting and implementing new techniques and new technologies We have gone from paper maps that helped us explore and develop the world, to digital data files that enabled the various stages of GIS, to the present day. Now we have a spatially enabled Information technology infrastructure with spatial databases, application servers, web map servers, development tools, Business Intelligence and SOA technology. We have modern data collection technologies. And this IT technology infrastructure can be deployed in a centralized, distributed or cloud-based model. This platform supports use of low cost “crowdsourcing technologies” as well as high end automated data collection. Basically this is an infrastructure that enables every application, using standard software tools, to benefit from geospatial analysis and it also enables geospatial and GIS applications to fully exploit modern, standards-based information technology advances. Digital data file Geographic Information Systems Mapping Spatial Information Technology

7 The Vision Geo-referenced Video, 3D, LiDAR Inputs Modern Platform
Outputs Modern Big Data Technologies Simplified Technology Infrastructure Powerful Analytic Capabilities On Premise, In Cloud or Hybrid Shared Access Future Proof Paper-based Multiple GIS Multiple Databases Mobile, Web Based and Crowd sourced Sensors Geo-referenced Video, 3D, LiDAR Central Government Regional, State, City Organizational and Departmental Commercial Access Multiple Deliverables Paper Digital Real-time Demographic Free and Open Source Commercial for profit So the vision is not quite nirvana, but from the technology side, there is a tremendous amount that is now possible. Investing in a proper technology platform for Land management systems can make it possible to incorporate information from existing systems and new data sources and to disseminate information to a variety of stakeholders. The characteristics of this platform are: The ability to use New technologies being referred to as “Big Data Technologies”. These are based on open source developments that make it possible to batch process, filter, and use much of the unstructured information that previously had been too complex or costly to make use of in applications . New developments in standards, product integration and Engineered Systems that reduce costs and greatly simplify the design, configuration, and ongoing maintenance of the technology infrastructure. New in-memory analytic systems that allow for extremely fast Analytic processing – including geographic information Maximum flexibility through The ability to deploy these technologies on premise, in the cloud or in a combination Offering secure, shared access on a system proven to enable the use of new technology over time.

8 Modern Land Administration System
“Only 25% of world’s 6 Billion Parcels are formally registered in Land Administration Systems” For context, I want to share this illustration from a recent paper published by RICS research discussing the potential value of using crowdsourced data in conjunction with authoritative data to address the challenge of registering the 4.5 billion parcels currently not formally managed. The benefits of the shared knowledge that can be achieved thru an open LAS are well-understood – consistent information, timely information, authoritative information that improves all aspects of planning, resource utilization, and service delivery. This paper does a great job of focusing on how one thing, the exploitation of the 5 Billion mobile phones world wide – all with SMS; many with GPS and cameras – can be deployed to take on this challenge. But this is only one of the many technologies that have the potential for a significant contribution. As recently as 3 or 4 years ago, this approach might not have even been considered before the whole idea of Vounteered Geographic Information and the popularity of social media and GPS enabled phones. Source: RICS Research “Crowdsourcing Support of Land Administration” Nov. 2011

9 A Flexible Open Foundation
Automatic Responses and Publishing Real-time Data Streams External Data Sources Transactional & Operational Systems Contents Repository Databases Web resources Blogs, Mails, news Console Alerts SMS Search, Presentation, Report, Visualization, Query Financial Data EV Grid Management Telephone Records Workflow Initiation Internet Traffic This is a complicated picture, but I’m using it to illustrate a point. The input from mobile devices is only one of many technologies that can be exploited in today’s environment. Land Management systems can benefit from and incorporate information from many different systems – external repositories and databases – both legacy and new – from scanned paper to the General Ledger used in tax collection to blogs and twitter feeds. Since one of the big challenges is a fragmented set of purpose-built existing systems – used by regions, various departments, and even commercial entities - rationalizing and bringing this information into a consolidated land management system is also extremely valuable. All of These fall into the “External Data Sources” over on the left. In addition to aggregated results that the RICS paper discusses, the LMS may include realtime input from mobile devices – crowdsourced content – but also sensors, smart meters, weather feeds. And need to publish and disseminate results to other systems as well as devices and applications we might not even be considering today. Enterprise Data Management Infrastructure GeoSpatial Documents Secured Historical Records POIs Demographics Customer Data Call Records Real-time Dashboards

10 Platform Technologies
Realtime Event & Stream Processing Big Data Technologies Batch Process, Filter, Integrate and Ingest External Data Sources Publish and Disseminate actionable information Automatic Responses and Publishing Evaluate and Process Realtime Data Feeds External Data Sources Transactional & Operational Systems Contents Repository Databases Web resources Blogs, Mails, news Orchestration, Analytics and Visualization Financial Data Telephone Records Analyze and make decisions based on information from Authoritative Databases and external sources Internet Traffic Let me focus now on some of the technologies. There are a new class of geo-enabled event or stream processing technologies. They are designed to apply complex rules to millions of events with millisecond latency. So if you have traffic or weather or hydrology or pollution sensors and you want to trigger an event when many conditions align – traffic congestion associated with location associated with humidity associated with carbon dioxide levels – this is the realtime technology for that task. It is the kind of thing used as part of many advanced tracking and telematics systems. There are advanced Analysis and BI technologies for Orchestration, Analytics and Visualization. There are Big Data technologies – These are relatively new, based on Open Source MapReduce – something called Hadoop – and NoSQL databases. These are generally Batch Processing environments used to Filter and categorize large amounts of unstructured data and often Load the Processed Results for Analysis and Decision Making either into analysis tools or database systems. And then of course there is the Enterprise Database that provides the authoritative context for all applications and analysis and the computational platform for most applications and operational systems. And as a basis to everything, there are secure, open, scalable database management systems that are the repositories against which applications run and provide context to all analysis and decisionmaking. Enterprise Data Management Infrastructure Secured Load Processed Results for Analysis and Decision Making Authoritative Databases of Land and Related information Manage and evalute large scale data sets Perform complex analysis and computation

11 Natively manage all spatial content
Lines Points Polygons Web Services (OGC) Enterprise Data Management Infrastructure Geocoding Routing Secured Now I suspect that many of you may think that because I am from Oracle, the database is what I will focus on. But the reality is the technology I’ve spoken about so far are things for which we have geospatially enabled offerings. As I said at the start, our strategy has always been to incorporate spatial analysis in all of our offerings. But let’s talk about the database. The database platform should be able to not just store, but should natively understand all types of GIS content, and it should do this in an open, scalable manner. So, for example, it should support reachability analysis and routing on multimodal networks, manage and enforce topologically consistency on parcel data, perform pixel-level analysis of raster data, or enable super fast querying of multiple terabytes of vectors and 3D data. f1 f2 n1 n2 e1 e2 e3 e4 Networks Satellite Imagery Topologies 3D

12 Open and Interoperable
Data It should be open to allow the land base information to be used with any commercial or custom developed applications and tools but more importantly…

13 Enterprise Data Management Infrastructure
Location-enabled Business Applications Emergency Response Adjudication & Settlement Cadastral / Land Use Information Management Agricultural Management Environmental Management Survey Dept Core Spatial & Business Data Repository Transportation Infrastructure Min of Lands Enterprise Data Management Infrastructure GeoSpatial Documents Secured Historical Records POIs Demographics Customer Data Tax Records Citizen Portal Crime Monitoring Planning Applications Homeland Security It should also be open to offer a single source of truth for a wide variety of constituents and organizations. This type of shared, open platform is the basis for land management and cadastral systems from New York City to Great Britain to Russia and Italy to Singapore. Criminal Justice Health & Social Services Insurance Risk determination Utility Asset Maintenance & Regulatory Reporting Resource Planning Min of Housing Semantic Mapping

14 Seeking Order through Standards
"We intend to complete development for a new suite of tools for developing the next generation of applications. And there are several interesting things with the next generation of tools, but perhaps the single most interesting thing about them is that for the first time a major application company is going to commit to an absolute standards-based development environment.“ – Larry Ellison ISO TC 211 TC 204 Open Geospatial Consortium Simple Features GML Web Services De-facto Standards SHP, MGE, DXF, KML Professional Standards ISPRS, FIG, WMO Java, .NET, Flash I want to take a moment to talk about removing complexity from the environment used for these Land Management systems. One way is to ensure that the technology is based on and support standards. SQL3/MM Spatial

15 Removing Complexity Vertically integrated environment
Another is to offer a vertically integrated environment so, for example, we design technology that is fine tuned and optimized between, within and across the layers. We believe that this provides better performance, reliability, security, upgradeability, manageability, and supportability built in, and doesn’t put the burden on our customers to build this for themselves.

16 Full Range of Analytics Integrated Applications
Engineered Systems Any Data, Any Source Full Range of Analytics Integrated Applications On the Cloud, On Mobile Oracle Exadata Oracle Big Data Appliance Oracle Database Exadata Software Oracle Spatial Oracle NoSQL Oracle R Cloudera CDH Hadoop Oracle Exalytics In-Memory Machine One method to simplify your IT infrastructure is through what we call engineered systems. There are 2 significant benefits to these systems – First, they are preconfigured, preintegrated systems with hardware and software optimized for the task. Because they are preconfigured and preintegrated, they dramatically reduce the cost of designing, managing, implementing and supporting the systems environment. This is estimated to be HALF of the $850 Billion spent on IT and the systems running GIS’s worldwide. Second, they can perform faster and support larger datasets than traditional systems many times larger. That means they include special-purpose technology to address the demands of various applications. For example, in database and spatial query analysis – customers like Santos Oil and Gas and US Census Bureau have seen up to 25 times improvement in BOX queries and up to 100x improvement in spatial data warehouse queries. In Big Data processing, balancing storage with processing and eliminating bandwidth constraints is key benefit to these systems. Oracle BI with Map Views Oracle TimesTen Oracle Essbase Oracle Endeca with MapViewer

17 Technology Platform for Land Management
Big Data Volunteered Geographic Information Sensors Streaming Data Geo-referenced Video, 3D, LiDAR Big Data Simplified IT Simplified Spatial IT Support for Open Standards Spatial Database, Application Server, BI, tools Support by Leading Partner solutions Spatially-enabled Engineered Systems Deep Analytics Deep Analytics Realtime Spatial Event Processing Dense Visualization Spatial Analysis On Premise, On Cloud, Shared Services Shared GeoSpatial Services Location Aware Everything On Premise, On Cloud, Shared Services I should be just about out of time. I’ll just like to recap and conclude with the elements that enable a modern Land management system – New Big Data technologies to more efficiently and cost effectively process massive amounts of volunteered information, sensor data, and machine generated spatial data -- a simplified, spatially-enabled, open IT environment with standards-based components and tools, and engineered systems to reduce the cost and complexity of managing shared, scalable, high performance spatial repositories and analysis systems -- Spatial stream processing, visualization and analytics as part of standard applications and BI decision making analysis -- all deployable as shared geospatial services to enable Location aware everything. ================================================================== So back to the beginning – all these technology trends. And I think after all these years, we’ve come full circle. Because the technology talk this year is actually a spatial talk. About managing Big Data; Simplifying your Geospatial infrastructure; Providing Spatial analytics in situational awareness and decision-dependent applications; All on premise or through shared services in the Cloud.

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