Migrating to a New Generation of MapInfo

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1 Corporate Headquarters Phone: Fax: Sales: Government Sales: Technical Support: pbinsight.com UK and EMEA Headquarters Phone: Fax: Technical Support: Asia Pacific Headquarters Phone: Fax: Technical Support: pbinsight.com.au 2013 Pitney Bowes Software Inc. All rights reserved. MapInfo and the MapInfo logo are trademarks of Pitney Bowes Software Inc. and/or its affiliates. May 2013 Migrating to a New Generation of MapInfo MOVING FROM ENVINSA/MAPXTREME TO SPECTRUM SPATIAL With the introduction of Spectrum Spatial, Pitney Bowes Software is providing an upgrade path to existing MapXtreme Java and Envinsa customers. This Migration Guide is intended for existing customers of MapXtreme Java and/or Envinsa, or those familiar with these legacy products. The guide is meant as an introduction to the new concepts and technology that is Spectrum Spatial. In this guide we will compare and contrast these products while at the same time introducing new Spectrum Spatial concepts and capabilities. Table of Contents: Introduction... 2 Architecture... 2 Development... 3 Deployment... 6 Data, Data Access and Management... 8 Geospatial Capability... 9 Summary of 11

2 Introduction Spectrum Spatial is an enterprise location platform designed to provide organizations with a suite of broadly applicable location capabilities that solve a wide variety of business problems. Spectrum Spatial provides organizations with a way to centrally manage location capabilities and apply those capabilities across departments and applications. Using standards-based Web Services technology, Spectrum Spatial is able to deliver precise and reusable functionality in a scalable, high-performance package. Spectrum Spatial does this by: Providing a well-defined set of location functionality proven to solve real business problems for thousands of organizations Using open standards to ensure seamless integration within existing IT and amongst numerous applications Enabling the delivery of location capabilities to any client, anytime, anywhere, using standards-based Web Services Drawing upon 30 years of software development, customization and solution delivery expertise in many industries and markets Spectrum Spatial acts as the glue to pull together all of the required capabilities for delivering a broad array of location-based applications consistently. Architecture Spectrum Spatial is architecturally more similar to Envinsa than it is to MapXtreme Java. MapXtreme Java fits more the mold of a geospatial software development kit (SDK). Spectrum Spatial and Envinsa are, on the other hand, based on a Services Oriented Architecture (SOA). Products designed on this architecture exploit the benefits of centralized processing, open interfaces, and extremely scale-able stateless services. MapXtreme Java did have strengths principally in the portability and in-process areas. MapXtreme Java was often deployed in the middle tier of a multi-tier architecture. There are many activities that take place in the middle tier and one specific to MapXtreme Java was maintenance of user state through an object called MapJ. In a multi user environment this has the benefit of minimizing the (re)processing of user requests but has the drawback of greater memory overhead. Although less common a deployment scenario, some also deploy MapXtreme entirely in the client or desktop tier. Spectrum Spatial benefits from a Service Orientated Architecture (SOA). In some respects SOA is a computing tier in and of itself, and at its heart, promises to connect disparate systems, software, data, and functions. For these reasons, you will often find products such as Spectrum Spatial referred to as a platform. Spectrum Spatial Migration Guide 2 of 11

3 Spectrum Spatial Platform For Spectrum Spatial, centralization of processing and data are key benefits. One feature that makes this all possible is the WS-I compliant Web Services that can be consumed by virtually any client application. Behind the scenes, all three technologies being discussed are based on Java Enterprise Edition (Java EE). However, the Web Services makes this fact irrelevant to client applications. In addition, the services are stateless. There is no concept of a MapJ object in Spectrum Spatial so no overhead associated with managing user sessions. This means that Spectrum Spatial can handle the processing of many requests and can scale to accommodate many calling applications. Architecture MapXtreme Java Envinsa Spectrum Spatial SDK SOA Platform SOA Platform Portable Centralized Centralized Native Java Web Services Web Services Stateful Stateless Stateless Development Spectrum Spatial has built off the foundational interfaces of MapXtreme Java and Envinsa. In Spectrum Spatial, users have the ability to develop applications against one of three APIs: 1. WS-I compliant SOAP interface; 2. REST interface; and 3. Series of OGC (Open Geospatial Consortium) interfaces including WMS, WFS and CSW. In the latest release of Spectrum Spatial, is also the Enterprise Designer which allows users to drag-and-drop methods onto a workflow designer. This new capability is new to the MapInfo suite and enables product paradigm shift for users and analysts that wish to formulate bespoke uses of Location Intelligence throughout an organization. Spectrum Spatial also provides a set of Rich Internet Application (RIA) mapping controls for quick and easy map embedding into Spectrum Spatial Migration Guide 3 of 11

4 applications and web pages. These RIA controls are built on top of JavaScript, but the product can be deployed through other frameworks such as Adobe Flash or Microsoft Silverlight. Development MapXtreme Java Envinsa Spectrum Spatial Java.NET and Java SDKs.NET and Java Samples WMS WMS, WFS WMS, WFS, CSW XML OpenLS Web Services WS-I Compliant SOAP Application Builder REST RIA Controls Enterprise Designer Developing with MapXtreme Java For the application developer, MapXtreme Java provided a number of paths to building a solution. There was a Java API, an OGC WMS service, an XML interface (pre-dating the evolution of Web Services), and there was a MapXtreme Java Web Application Builder. The Java API was often used in the development of thin client applications where the map request processing occurs on the server and returns results in the form of an image, HTML and other client side artifacts. WMS was an OGC open standard and simple interface for delivering map images - MapXtreme Java was based on the specification. Developing with Envinsa Envinsa was most similar to Spectrum Spatial and largely due to their SOA architectures. Envinsa provided access to underlying capability through a standard set of OpenLS based Web Services. This approach provided many benefits, though one drawback of Envinsa Web Services was that they were not readily consumable by third party designers and applications. For this reason, Envinsa also provided specific.net and Java SDKs to make development easier. Envinsa also provided access to capabilities through OGC WMS and WFS services. Developing with Spectrum Spatial As highlighted earlier, Spectrum Spatial is a generational release of our server GIS. Nowhere is this more obvious than in the interfaces. A significant step forward for Spectrum Spatial is in building Web Services that are WS-I (Web Services Interoperability) compliant. This means that the underlying technology of Spectrum Spatial is irrelevant to the application or Integrated Development Environment (IDE) accessing it. For example, the services can be consumed by a Java IDE, Microsoft Visual Studio, and practically any application that speaks Web Services. As above, Spectrum Spatial supports OGC standards, with more recent implementations including CSW and WMS 1.3. Brand new for Pitney Bowes server GIS is the Spectrum Spatial REST interface. REST stands for Representational State Transfer and has become a popular way for applications and developers to access resources, such as a map or spatial search operation across the Web or Web based/distributed architecture. The popularity of the REST API has come from the simplicity of the model as one accesses resources via a standard URL, not unlike how we all access Web pages on the Internet. In MapXtreme Java, rapid application development was supported by the Application Builder and a JSP (Java Server Pages) library. Since that time, the geospatial world had moved to Spectrum Spatial Migration Guide 4 of 11

5 Web 2.0 and the delivery of much more interactive applications. To meet the demands of organizations today, Spectrum Spatial delivers a set of Rich Internet Application Controls, these based on JavaScript and the Dojo framework, for more rapid application development. The controls included are listed here, and will be expanded over time: map, legend/layer, navigation, and related GUI elements. Sample JavaScript Next generation Location Intelligence through the use of the Enterprise Designer. With Spectrum Spatial, users can get at geospatial capability in a completely new way as Geoprocess controls. Historically, GIS and Location Intelligence was used primarily to provide geospatial functions for a variety of analytical applications. Today, more and more organizations are looking to mobilize geospatial in an operational context as well. With the Enterprise Designer, analysts can drag and drop capability onto a form, injecting it into a business process. A simple use case might be a direct mail campaign where a customer database would be accessed; sent through a geocoding stage; a point-in-polygon operation to assign Distribution territories to each customer record; a join stage to attach demographic information; and then a tailored communication sent based on the customer s profile. Enterprise designer takes all the powerful geospatial capability formally accessible to applications and application developers and exposes directly to end users and analysts as discrete, GUI driven business process controls. Spectrum Spatial Migration Guide 5 of 11

6 Enterprise Designer Deployment Both MapXtreme Java and Envinsa are deployed to third party servlet containers such as Tomcat, WebLogic and WebSphere. Spectrum Spatial is deployed and coupled with its own container. Although not necessarily apparent to the administrator, Spectrum Spatial runs in an open source (Eclipse licensed) container named Jetty. This makes deployment much more straightforward then the previous technologies. For MapXtreme Java, there were only minimal tools provided to help deploy and manage applications. This meant that most administrators had to utilize third party technologies for operations such as authentication, transaction logging, or monitoring. For Envinsa, much of this was handled by the Enterprise Manager. Enterprise Manager was built to help administrators configure, maintain, and monitor Envinsa deployments. Again, this is where Envinsa was more similar to Spectrum Spatial. Saying that Spectrum Spatial ships with its own imbedded servlet container is actually an understatement. Spectrum Spatial is actually wrapped by an entire infrastructure, not just a run time environment. This infrastructure is called the Spectrum Technology Platform. Spectrum is identical to Spectrum Spatial that it is an infrastructure within which modules of capability can be deployed, developed and managed. For Spatial Server customers this is often a combination of modules such as the Location Intelligence, Enterprise Routing, and Enterprise Geocoding. One of the most powerful features of Spectrum and Spectrum Spatial is this ability to mix and match modular units of capability, be they for spatial analysis, addressing, data quality or mapping. And it is the Spectrum framework or infrastructure that helps to make all these modules of capability appear as one. Spectrum Spatial Migration Guide 6 of 11

7 For Spectrum Spatial and Spectrum, the closest equivalent to the Envinsa Enterprise Manager is the Spectrum Management console. The Management Console is used to specify options for: Default options for services Database resources Data sources User account management Logging, tracking, and reporting So in one respect the Management Console is a superset of the Envinsa Enterprise Manager as it also has elements of data management which would be handled by the Envinsa Content Manager. We will talk more about data in our Data, Data Access and Management section below. Management Console Scaling Deployments One key deployment task for many customers we have not touched on yet is scaling. For all three technologies, administrators will often wish to scale their deployment both up and out. By up we mean maximizing the use of any and all CPUs available on a single server and by out we mean scaling across multiple servers. When it comes to scaling these technologies, the key difference are found in the configuration steps. At the end of the day, scaling up is accomplished by running multiple process threads and multiple instances of the server and scaling out is accomplished with load balancing technology. The Spectrum Spatial platform provides considerable flexibility to define an environment that supports load balancing and failover. This can be configured through either a virtual environment where a single instance of Spectrum Spatial is installed on each virtual machine or through multiple installations on a single large server machine. Since all the Spectrum Spatial components are stateless, additional instances can be deployed and configured to connect to a central data store. Beyond scaling through multiple instances of Spectrum Spatial, there is also the ability to scale within the platform. Since the Spectrum Spatial components are threadsafe, Spectrum Spatial Migration Guide 7 of 11

8 the number of threads applied to each component can be configured in the platform to enable scaling with the deployed instance. Deployment MapXtreme Java Envinsa Spectrum Spatial Third Party Servlet Container Third Party Servlet Container Imbedded Jetty Container No Infrastructure Envinsa Infrastructure Spectrum Technology Platform No Management Tools Enterprise Manager Spectrum Management Console Scales up Scales up Scales up Scales out Scales out Scales out Data, Data Access and Management We refer to Spectrum Spatial as a generational release for many reasons, but certainly one important step forward is in the area of data. The design and development of the Location Intelligence Module in Spectrum Spatial has two key goals for the product: one, address interoperability issues within the former MapInfo suite of products; and two, improve performance. For the first goal, we consolidated on our latest workspace format called MWS. MWS is supported in products such as MapXtreme.NET Edition and MapInfo Professional. In MapInfo Professional, for example, users can compose maps and save them as MWS thus making it possible to upload to Spectrum Spatial directly. Although there is still work to be done here, this was not possible with Envinsa and MapXtreme Java as these products support a legacy workspace format called MDF. Related to this, is the fact that in Spectrum Spatial we have moved away from our map centric programming model to a table centric model. Essentially what this means is that spatial operations such as point-in-polygon can be executed without creating or changing a map. Now, a developer can perform spatial analysis directly on a table, which is much more familiar in concept and much easier to build in practice. For the second goal, we wanted to leverage the investment many of our customers have made in spatial database technology. In Spectrum Spatial we support access to many different data stores, like Envinsa and MapXtreme Java this was through a data provider model, and this model (or layer) supported a wide variety of both flat file and relational database stores. In the case of a flat file, where there is really no processing, all spatial operations are handled within Spectrum Spatial. In cases where a user has spatial data in a database, if that database has spatial capability, Spectrum Spatial can push processing down to the database. For example, rather than fetch millions of customer records, bring them back into Spectrum Spatial to do some form of point-in-polygon operation, let s say to select just those that fall in a sales territory, Spectrum Spatial can push that query down to a spatial database and only retrieve the results of that analysis. So when we look at data interoperability and performance, Spectrum Spatial is a generation ahead of products such as MapXtreme Java and Envinsa. Data management in Spectrum Spatial is also very different from our legacy technologies. For MapXtreme Java there was not much in terms of utilities. Within MapXtreme Java one had Spectrum Spatial Migration Guide 8 of 11

9 access to the Map Definition Panel where maps were built by adding map layers in the form of a workspace or directly from a file or database. For Envinsa there was a data management tool called the Content Manager (CM). CM defined ways to access data dynamically and defined metadata to describe points of interest. Each data content was described by a definition that included the content, the data source, and data adapters. These content definitions were stored in a file-based catalog or in a LDAP directory. In Spectrum Spatial the Envinsa CM concept has been built upon to create the Spectrum Spatial Repository. The repository holds what are called named resources. A named resource is a form of mapping data, such as a map data file or a database table connection, to which a name has been attached (e.g., named tables, named tiles, names styles, etc.). More simply stated, a named resource pointes to data. Attaching names to resources offers the advantages such as: Allows a resource to be known by its name and not by its properties. Allows a resource to be located in one spot but be referenced from many locations, which makes administration of resources easier. To change the look or behavior of applications or data, only the resource needs to be changed, not each application or data file. After a named resource has been added to the repository, you can refer to it by name in requests. To get and manage data in the repository Spectrum Spatial has a Repository Service which allows you to access named resources. There is also an MWS upload utility that creates named resources from a MapInfo Professional workspace files (MWS) and then uploads those resources to your repository. In the latest release of Spectrum Spatial we have also added the ability to manage data in the repository from the Spectrum Management Console. This last step has created a more comprehensive data management interface for the product. Data MapXtreme Java Envinsa Spectrum Spatial MDF Workspace MDF Workspace MWS Workspace Map Centric Table Centric Table Centric Data Provider Model Data Provider Model Data Provider Model Internal Geoprocessing Internal Geoprocessing Intrnl/Pass Down Geoprocessing Java Manager Enterprise Manager Repository Service MWS Upload SS Repository Geospatial Capability Up until this point we have looked more at use scenarios; that is, the way that a user will access, deploy and manage the spatial capability available in the product. There is of course the capability itself which like the above will also vary by products. At a very high level, Spectrum Spatial is a superset of both MapXtreme Java and Envinsa. There are certainly some gaps, for example at a method level the user may not have the complete set of parameters they are accustomed to. However, for most users Spectrum Spatial will offer more than its legacy counterparts. Spectrum Spatial Migration Guide 9 of 11

10 To start with, Spectrum Spatial offers Mapping, Routing and Geocoding capability. Within mapping, users have access to methods for map rendering, geometry and feature operations. The below tables represent just a sample of the capabilities and operations available through Spectrum Spatial. Map rendering includes operations for finding, manipulating, analyzing, navigating, and displaying map data. Map Capability Finding Maps Rendering Maps Controlling Map Formats Rendering Legends Converting Pixels Map Navigation Controlling Visibility Controlling Labeling Creating Analysis Layers Creating Grids Map Tiling Example of Operations Listing maps available in the system for additional operations Building a map from sources such as layers and features Choosing image output such as GIF and JPG Returning a legend with a map Converting screen coordinates to real world coordinates Panning, zooming, etc. Displaying or hiding map detail such as by zoom level Displaying or hiding map labels Creating thematic maps, charts and graduated symbols Creating continuous grids based on vector data (e.g., heat maps) Generating map tiles that can be combined to form a larger map image Feature and geometry operations provide access to the data behind the map. A common feature operation such as search involves finding records in a data set using geographic information. Common geometry operations provide users with the ability to measure, create and combine geographic information. Feature and Geometry Capability Searching Within a Feature Searching at a Point Finding the Nearest Limiting Matches Returned Limiting the Search Area Searching by SQL Measuring Geometries Creating Geometries Combining Geometries Coordinate Systems Example of Operations Selecting features from a table that fall within a feature such as polygon Selecting features from a table that are a set distance to a point Finding the nearest features to a geometry Controlling the maximum candidates that can be returned in a search Controlling how far in some set distance a search should go Searching for features using SQL enhanced with spatial conditions (MapInfo SQL). To elaborate, MapInfo SQL is an extensive language that can be used for creating, measuring, and searching geometries, aggregating results, inspecting raster and grids. Determining geometry characteristics such as length and area Building a new geometry based on an existing geometry (e.g., buffer) Building a new geometry from two or more geometries (e.g., union) Transforming geometries between coordinate systems. Spectrum Spatial Migration Guide 10 of 11

11 Geocoding and Routing are specific spatial operations are very often used in combination with map rendering, feature and geometry operations. Geocoding is the process of locating a place on the Earth by an address and routing is the analysis of a street network for the creation of optimal paths and networks. Geocoding and Routing Capability Geocode Address Geocode Street Intersection Validate Address Custom Dictionaries Point to point routing Multi point routing Drive time polygons Drive time matrix Example of Operations Locating the latitude and longitude of and address Locating the latitude and longitude of an intersection Making sure an address is deliverable and valid in the eyes of the postal service Utilizing other address dictionaries for the improvement of geocode results Getting the shortest or fastest route between two points Finding the optimal path between multiple points Creating a polygon based on the drive distance or time from a single start location across all possible routes on a network Building a table of drive times or distances between many points Summary Spectrum Spatial is an evolution in server GIS. The platform provides an extensive set of spatial analysis and mapping functions, advanced data access capabilities, a management infrastructure, and the latest in programmatic, rapid application and operational interfaces. For the existing MapXtreme Java or Envinsa customer it will at times look very different from its legacy counterparts. However, this new approach and architecture is based on the latest in information system standards and enterprise computing. We at Pitney Bows Software encourage you to evaluate Spectrum Spatial, consider the many benefits, build and deploy the technology and most importantly choose Spectrum Spatial as your upgrade path. Spectrum Spatial Migration Guide 11 of 11

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