The document discusses Mondrian, an open source OLAP server written in Java. It can be used to develop a trajectory data warehouse and interactively analyze large datasets stored in SQL databases without writing SQL. Mondrian uses MDX and XML for querying and cube definition. It provides an OLAP view of relational data and enables fast, on-line analytical processing through aggregation and caching. GeoMondrian extends it with spatial/GIS data types and functions for geographical analysis.
Open source Geospatial Business Intelligence in action with GeoMondrian and S...Thierry Badard
This document introduces GeoMondrian and SOLAPLayers, open source geospatial business intelligence tools. GeoMondrian is a spatially-enabled version of the Pentaho Mondrian OLAP server that integrates spatial data and analysis capabilities into OLAP data cubes. SOLAPLayers is a lightweight cartographic component that enables interactive map-based exploration of geospatial data cubes from servers like GeoMondrian. The document discusses the architecture and capabilities of both tools, demonstrates them, and outlines the roadmap for future development including more advanced SOLAPLayers components for creating geospatial dashboards.
Laserdata i skyen - Geomatikkdagene 2013Geodata AS
Laserdata i skyen provides an overview of how laser scan data can be managed and analyzed in the cloud using Amazon Web Services and ArcGIS. It discusses how laser data and imagery can be hosted cost effectively at large scales in AWS, and accessed through web services. Examples are given of how the data can be used for applications such as flood risk analysis, emergency response, and damage assessments.
Strata Conference + Hadoop World San Jose 2015: Data Discovery on Hadoop Sumeet Singh
Hadoop has allowed us to move towards a unified source of truth for all of organization’s data. Managing data location, schema knowledge and evolution, fine-grained business rules based access control, and audit and compliance needs will become critical with increasing scale of operations.
In this talk, we will share an approach in tackling the above challenges. We will explain how to register existing HDFS files, provide broader but controlled access to data through a data discovery tool with schema browse and search functionality, and leverage existing Hadoop ecosystem components like Pig, Hive, HBase and Oozie to seamlessly share data across applications. Integration with data movement tools automates the availability of new data. In addition, the approach allows us to open up easy adhoc access to analyze and visualize data through SQL on Hadoop and popular BI tools. As we discuss our approach, we will also highlight how our approach minimizes data duplication, eliminates wasteful data retention, and solves for data provenance, lineage and integrity.
URL: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/38768
Ontotext is a leading provider of semantic technology solutions, including their OWLIM semantic database. OWLIM can handle large RDF datasets with scalable reasoning and high performance querying. It has been used successfully in cultural heritage domains by organizations like the BBC and British Museum to power semantic search and knowledge bases. OWLIM supports RDFS/OWL reasoning, spatial indexing, replication for high availability, and ranking of nodes based on semantic relationships.
This presentation introduces OWLIM semantic repository at DM2E project meeting, held in Vienna in November 2012. Ontotext entered the DM2E consortium as associated partner.
Hadoop, being a disruptive data processing framework, has made a large impact in the data ecosystems of today. Enabling business users to translate existing skills to Hadoop is necessary to encourage the adoption and allow businesses to get value out of their Hadoop investment quickly. R, being a prolific and rapidly growing data analysis language, now has a place in the Hadoop ecosystem. With the advent of technologies such as RHadoop, optimizing R workloads for use on Hadoop has become much easier. This session will help you understand how RHadoop projects such as RMR, and RHDFS work with Hadoop, and will show you examples of using these technologies on the Hortonworks Data Platform.
The document discusses HDFS (Hadoop Distributed File System) including typical workflows like writing and reading files from HDFS. It describes the roles of key HDFS components like the NameNode, DataNodes, and Secondary NameNode. It provides examples of rack awareness, file replication, and how the NameNode manages metadata. It also discusses Yahoo's practices for HDFS including hardware used, storage allocation, and benchmarks. Future work mentioned includes automated failover using Zookeeper and scaling the NameNode.
The document discusses Mondrian, an open source OLAP server written in Java. It can be used to develop a trajectory data warehouse and interactively analyze large datasets stored in SQL databases without writing SQL. Mondrian uses MDX and XML for querying and cube definition. It provides an OLAP view of relational data and enables fast, on-line analytical processing through aggregation and caching. GeoMondrian extends it with spatial/GIS data types and functions for geographical analysis.
Open source Geospatial Business Intelligence in action with GeoMondrian and S...Thierry Badard
This document introduces GeoMondrian and SOLAPLayers, open source geospatial business intelligence tools. GeoMondrian is a spatially-enabled version of the Pentaho Mondrian OLAP server that integrates spatial data and analysis capabilities into OLAP data cubes. SOLAPLayers is a lightweight cartographic component that enables interactive map-based exploration of geospatial data cubes from servers like GeoMondrian. The document discusses the architecture and capabilities of both tools, demonstrates them, and outlines the roadmap for future development including more advanced SOLAPLayers components for creating geospatial dashboards.
Laserdata i skyen - Geomatikkdagene 2013Geodata AS
Laserdata i skyen provides an overview of how laser scan data can be managed and analyzed in the cloud using Amazon Web Services and ArcGIS. It discusses how laser data and imagery can be hosted cost effectively at large scales in AWS, and accessed through web services. Examples are given of how the data can be used for applications such as flood risk analysis, emergency response, and damage assessments.
Strata Conference + Hadoop World San Jose 2015: Data Discovery on Hadoop Sumeet Singh
Hadoop has allowed us to move towards a unified source of truth for all of organization’s data. Managing data location, schema knowledge and evolution, fine-grained business rules based access control, and audit and compliance needs will become critical with increasing scale of operations.
In this talk, we will share an approach in tackling the above challenges. We will explain how to register existing HDFS files, provide broader but controlled access to data through a data discovery tool with schema browse and search functionality, and leverage existing Hadoop ecosystem components like Pig, Hive, HBase and Oozie to seamlessly share data across applications. Integration with data movement tools automates the availability of new data. In addition, the approach allows us to open up easy adhoc access to analyze and visualize data through SQL on Hadoop and popular BI tools. As we discuss our approach, we will also highlight how our approach minimizes data duplication, eliminates wasteful data retention, and solves for data provenance, lineage and integrity.
URL: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/38768
Ontotext is a leading provider of semantic technology solutions, including their OWLIM semantic database. OWLIM can handle large RDF datasets with scalable reasoning and high performance querying. It has been used successfully in cultural heritage domains by organizations like the BBC and British Museum to power semantic search and knowledge bases. OWLIM supports RDFS/OWL reasoning, spatial indexing, replication for high availability, and ranking of nodes based on semantic relationships.
This presentation introduces OWLIM semantic repository at DM2E project meeting, held in Vienna in November 2012. Ontotext entered the DM2E consortium as associated partner.
Hadoop, being a disruptive data processing framework, has made a large impact in the data ecosystems of today. Enabling business users to translate existing skills to Hadoop is necessary to encourage the adoption and allow businesses to get value out of their Hadoop investment quickly. R, being a prolific and rapidly growing data analysis language, now has a place in the Hadoop ecosystem. With the advent of technologies such as RHadoop, optimizing R workloads for use on Hadoop has become much easier. This session will help you understand how RHadoop projects such as RMR, and RHDFS work with Hadoop, and will show you examples of using these technologies on the Hortonworks Data Platform.
The document discusses HDFS (Hadoop Distributed File System) including typical workflows like writing and reading files from HDFS. It describes the roles of key HDFS components like the NameNode, DataNodes, and Secondary NameNode. It provides examples of rack awareness, file replication, and how the NameNode manages metadata. It also discusses Yahoo's practices for HDFS including hardware used, storage allocation, and benchmarks. Future work mentioned includes automated failover using Zookeeper and scaling the NameNode.
NAPSG 2010 Fire/EMS Conference - Data Sharing Basicspdituri
The document discusses data sharing basics and regional efforts, covering topics such as simple data concepts, GIS data formats, GIS web services, fire and EMS data standards, GIS data repositories, and fire and EMS GIS data repositories. It provides examples and explanations of key concepts like the differences between data and information, data repositories and formats, and common data repository and format types used in GIS.
The document discusses spatial data and analysis. It defines spatial data as information that can be analyzed based on geographic context, such as locations, distances and boundaries. It then describes the three common types of spatial data - points, lines and polygons - and how they are used to answer questions about proximity and relationships between objects. Finally, it outlines some of the key sources for spatial data, challenges in working with spatial data, and provides a model for how to deliver spatial data and analysis.
Spatially enabled open source BI (GeoBI) with GeoKettle, GeoMondrian & SOLAPL...Thierry Badard
This document discusses spatially enabled open source business intelligence (GeoBI) tools including GeoKettle, GeoMondrian, and SOLAPLayers. GeoKettle adds spatial capabilities to Pentaho Data Integration. GeoMondrian does the same for Pentaho Analysis Services (Mondrian) by integrating spatial objects into OLAP data cubes. SOLAPLayers provides a lightweight framework for building interactive geospatial dashboards using these tools. The document demonstrates the capabilities and architecture of these projects.
Bucketing is a popular data partitioning technique to pre-shuffle and (optionally) pre-sort data during writes. This is ideal for a variety of write-once and read-many datasets at Facebook, where Spark can automatically avoid expensive shuffles/sorts (when the underlying data is joined/aggregated on its bucketed keys) resulting in substantial savings in both CPU and IO.
Over the last year, we’ve added a series of optimizations in Apache Spark as a means towards achieving feature parity with Hive and Spark. These include avoiding shuffle/sort when joining/aggregating/inserting on tables with mismatching buckets, allowing user to skip shuffle/sort when writing to bucketed tables, adding data validators before writing bucketed data, among many others. As a direct consequence of these efforts, we’ve witnessed over 10x growth (spanning 40% of total compute) in queries that read one or more bucketed tables across the entire data warehouse at Facebook.
In this talk, we’ll take a deep dive into the internals of bucketing support in SparkSQL, describe use-cases where bucketing is useful, touch upon some of the on-going work to automatically suggest bucketing tables based on query column lineage, and summarize the lessons learned from developing bucketing support in Spark at Facebook over the last 2 years
Benchmarking data warehouse systems in the cloud: new requirements & new metricsRim Moussa
The document discusses new requirements and challenges for data warehouse systems deployed in the cloud. It outlines how traditional benchmarks like TPC-H are misaligned with cloud characteristics and proposes new metrics. Specifically, it suggests metrics to evaluate data transfer performance, workload processing across cluster sizes, scalability under increasing loads, elasticity of adding/removing resources, and high availability using strategies like replication and erasure coding.
New tools are being developed by Czech Living Lab WirelessInfo, which allow users to easily publish their data and metadata as part of a Spatial Data Infrastructure (SDI). The paper describes the design of a Technological Infrastructure on the basis of ISO and OGC Standards and also the implementation of a prototype and first experiences. The solution is designed in distributed system form, which provides the connection to metadata about spatial data and services. This solution tests the principle of catalogue services at both national and international level which could be used in the UN SDI context. A catalogue portal is one of the independent components of GeoHosting complex system for raster and vector spatial data sharing. The catalogue portal provides data source searching on the basis of their metadata records through structure queries. The portal also contains edit functionality for new metadata records creating or editing. The metadata catalogue system corresponds to ISO 19115/19119/19139 standards [1], [2], [3], [4] and provides for cascade searching on the other standardized catalogue systems. The difference is, there exist different other initiatives offering publishing of own content like Google technology or OpenStreet Map, that GeoHosting is based fully on INSPIRE European standards and support establishing of network of distributed servers.
This document summarizes a presentation given by Mel McIntyre on using open source software for geographic information systems (GIS). McIntyre discusses their experience developing Health Atlas Ireland, a web application using open source GIS and statistical components to support health services planning. Examples shown include administrative boundary maps, deprivation indexes, population maps, and catchment analysis tools. Technical aspects covered include the open source software used, architecture with OpenLayers, PostgreSQL/PostGIS, and Python/Zope. Barriers to and strategies for adopting open source software are also outlined.
This document provides an overview of seven platforms for managing and analyzing large Earth observation data: Google Earth Engine, Sentinel Hub, Open Data Cube, SEPAL, OpenEO, JEODPP, and pipsCloud. It describes each platform's architecture, data storage, processing capabilities, data access methods, and data abstractions. It also compares the platforms based on their support for capabilities of interest to the Earth observation community, such as reproducible science.
Big Data to SMART Data : Process scenario
Scenario of an implementation of a transformation process of the Data towards exploitable data and representative with treatments of the streaming, the distributed systems, the messages, the storage in an NoSQL environment, a management with an ecosystem Big Data graphic visualization of the data with the technologies:
Apache Storm, Apache Zookeeper, Apache Kafka, Apache Cassandra, Apache Spark and Data-Driven Document.
2006-03-14 WG on HTAP-Relevant IT Techniques, Tools and Philosophies: DataFed...Rudolf Husar
The document discusses the need for integrated air quality information systems and proposes a federated approach using web services and open standards. Key points:
- Current air quality data is siloed across different sources, making it difficult to access and analyze.
- The DataFed system advocates a federated approach where data providers maintain autonomy but expose data through wrappers and web services for unified access.
- DataFed structures heterogeneous data into "where-when-what cubes" to simplify accessing and exploring the data using slicing and dicing tools.
- The system demonstrates networking of diverse data types and analysis tools through open standards like OGC WCS to facilitate more informed decision making.
ERSA 2017: A linked open data based system for flexible delineation of geogra...Ali Khalili
This document summarizes a linked open data based system for flexible delineation of geographic areas developed by the Semantically Mapping Science (SMS) Platform. The SMS Platform aims to integrate heterogeneous data sources to generate new insights. It develops services for entity recognition, metadata, categories, basic and innovative geospatial analysis, and integration of public, private and open datasets. The platform builds a linked open data space representing administrative boundaries from multiple sources. It extracts, links and enriches geographic data to flexibly define functional geographic areas for analysis. An example use case examines the relationship between innovation projects, socioeconomic variables and hybrid functional areas in the Netherlands.
MapR 5.2: Getting More Value from the MapR Converged Community EditionMapR Technologies
Please join us to learn about the recent developments during the past year in the MapR Community Edition. In these slides, we will cover the following platform updates:
-Taking cluster monitoring to the next level with the Spyglass Initiative
-Real-time streaming with MapR Streams
-MapR-DB JSON document database and application development with OJAI
-Securing your data with access control expressions (ACEs)
Geospatial Business Intelligence made easy with GeoMondrian & SOLAPLayersThierry Badard
Slides of the presentation about GeoMondrian and SOLAPLayers I gave during the 1st rendez-vous OSGeo-Quebec (http://rendez-vous-osgeo-qc.org/2010) at Saguenay, Quebec, Canada on June 15-16, 2010.
The main focus of this study is to find appropriate and stable solutions for representing the statistical data into map with some special features. This research also includes the comparison between different solutions for specific features. In this research I have found three solutions using three different technologies namely Oracle MapViewer, QGIS and AnyMap which are different solutions with different specialties. Each solution has its own specialty so we can choose any solution for representing the statistical data into maps depending on our criteria’s.
Geospatial applications created using java script(and nosql)Comsysto Reply GmbH
Ever wondered how geospatial data works? Why don’t you come along and learn it where you’ll be presented to a fully functioning geospatial application that uses metadata from images to pinpoint them to a map. You’ll be introduced to a NoSQL tool and you’ll learn the basics of NoSQL technologies in a fun and initiative way. Along the way you’ll experience geospatial data, full stack application development using JavaScript and a little bit on semantic data as well. You will experience how easy it is to manage hybrid data (JSON documents, JPEG images as well as RDF triples) in one database, how to query geospatial data and how to work with JavaScript across a three tiered application.
Sven Abels and colleagues presented achievements and new actions from the SOA4All project. Key achievements included the development of MicroWSMO and WSMO-Lite for semantic service annotations, contributions to the USDL incubator activity, and the creation of a real estate finder mobile application using open data. New actions proposed expanding the multimedia search tool, further mobile prototypes, releasing an open source software packaging installer, and providing explanations of using the SOA4All tools together in scenarios.
NAPSG 2010 Fire/EMS Conference - Data Sharing Basicspdituri
The document discusses data sharing basics and regional efforts, covering topics such as simple data concepts, GIS data formats, GIS web services, fire and EMS data standards, GIS data repositories, and fire and EMS GIS data repositories. It provides examples and explanations of key concepts like the differences between data and information, data repositories and formats, and common data repository and format types used in GIS.
The document discusses spatial data and analysis. It defines spatial data as information that can be analyzed based on geographic context, such as locations, distances and boundaries. It then describes the three common types of spatial data - points, lines and polygons - and how they are used to answer questions about proximity and relationships between objects. Finally, it outlines some of the key sources for spatial data, challenges in working with spatial data, and provides a model for how to deliver spatial data and analysis.
Spatially enabled open source BI (GeoBI) with GeoKettle, GeoMondrian & SOLAPL...Thierry Badard
This document discusses spatially enabled open source business intelligence (GeoBI) tools including GeoKettle, GeoMondrian, and SOLAPLayers. GeoKettle adds spatial capabilities to Pentaho Data Integration. GeoMondrian does the same for Pentaho Analysis Services (Mondrian) by integrating spatial objects into OLAP data cubes. SOLAPLayers provides a lightweight framework for building interactive geospatial dashboards using these tools. The document demonstrates the capabilities and architecture of these projects.
Bucketing is a popular data partitioning technique to pre-shuffle and (optionally) pre-sort data during writes. This is ideal for a variety of write-once and read-many datasets at Facebook, where Spark can automatically avoid expensive shuffles/sorts (when the underlying data is joined/aggregated on its bucketed keys) resulting in substantial savings in both CPU and IO.
Over the last year, we’ve added a series of optimizations in Apache Spark as a means towards achieving feature parity with Hive and Spark. These include avoiding shuffle/sort when joining/aggregating/inserting on tables with mismatching buckets, allowing user to skip shuffle/sort when writing to bucketed tables, adding data validators before writing bucketed data, among many others. As a direct consequence of these efforts, we’ve witnessed over 10x growth (spanning 40% of total compute) in queries that read one or more bucketed tables across the entire data warehouse at Facebook.
In this talk, we’ll take a deep dive into the internals of bucketing support in SparkSQL, describe use-cases where bucketing is useful, touch upon some of the on-going work to automatically suggest bucketing tables based on query column lineage, and summarize the lessons learned from developing bucketing support in Spark at Facebook over the last 2 years
Benchmarking data warehouse systems in the cloud: new requirements & new metricsRim Moussa
The document discusses new requirements and challenges for data warehouse systems deployed in the cloud. It outlines how traditional benchmarks like TPC-H are misaligned with cloud characteristics and proposes new metrics. Specifically, it suggests metrics to evaluate data transfer performance, workload processing across cluster sizes, scalability under increasing loads, elasticity of adding/removing resources, and high availability using strategies like replication and erasure coding.
New tools are being developed by Czech Living Lab WirelessInfo, which allow users to easily publish their data and metadata as part of a Spatial Data Infrastructure (SDI). The paper describes the design of a Technological Infrastructure on the basis of ISO and OGC Standards and also the implementation of a prototype and first experiences. The solution is designed in distributed system form, which provides the connection to metadata about spatial data and services. This solution tests the principle of catalogue services at both national and international level which could be used in the UN SDI context. A catalogue portal is one of the independent components of GeoHosting complex system for raster and vector spatial data sharing. The catalogue portal provides data source searching on the basis of their metadata records through structure queries. The portal also contains edit functionality for new metadata records creating or editing. The metadata catalogue system corresponds to ISO 19115/19119/19139 standards [1], [2], [3], [4] and provides for cascade searching on the other standardized catalogue systems. The difference is, there exist different other initiatives offering publishing of own content like Google technology or OpenStreet Map, that GeoHosting is based fully on INSPIRE European standards and support establishing of network of distributed servers.
This document summarizes a presentation given by Mel McIntyre on using open source software for geographic information systems (GIS). McIntyre discusses their experience developing Health Atlas Ireland, a web application using open source GIS and statistical components to support health services planning. Examples shown include administrative boundary maps, deprivation indexes, population maps, and catchment analysis tools. Technical aspects covered include the open source software used, architecture with OpenLayers, PostgreSQL/PostGIS, and Python/Zope. Barriers to and strategies for adopting open source software are also outlined.
This document provides an overview of seven platforms for managing and analyzing large Earth observation data: Google Earth Engine, Sentinel Hub, Open Data Cube, SEPAL, OpenEO, JEODPP, and pipsCloud. It describes each platform's architecture, data storage, processing capabilities, data access methods, and data abstractions. It also compares the platforms based on their support for capabilities of interest to the Earth observation community, such as reproducible science.
Big Data to SMART Data : Process scenario
Scenario of an implementation of a transformation process of the Data towards exploitable data and representative with treatments of the streaming, the distributed systems, the messages, the storage in an NoSQL environment, a management with an ecosystem Big Data graphic visualization of the data with the technologies:
Apache Storm, Apache Zookeeper, Apache Kafka, Apache Cassandra, Apache Spark and Data-Driven Document.
2006-03-14 WG on HTAP-Relevant IT Techniques, Tools and Philosophies: DataFed...Rudolf Husar
The document discusses the need for integrated air quality information systems and proposes a federated approach using web services and open standards. Key points:
- Current air quality data is siloed across different sources, making it difficult to access and analyze.
- The DataFed system advocates a federated approach where data providers maintain autonomy but expose data through wrappers and web services for unified access.
- DataFed structures heterogeneous data into "where-when-what cubes" to simplify accessing and exploring the data using slicing and dicing tools.
- The system demonstrates networking of diverse data types and analysis tools through open standards like OGC WCS to facilitate more informed decision making.
ERSA 2017: A linked open data based system for flexible delineation of geogra...Ali Khalili
This document summarizes a linked open data based system for flexible delineation of geographic areas developed by the Semantically Mapping Science (SMS) Platform. The SMS Platform aims to integrate heterogeneous data sources to generate new insights. It develops services for entity recognition, metadata, categories, basic and innovative geospatial analysis, and integration of public, private and open datasets. The platform builds a linked open data space representing administrative boundaries from multiple sources. It extracts, links and enriches geographic data to flexibly define functional geographic areas for analysis. An example use case examines the relationship between innovation projects, socioeconomic variables and hybrid functional areas in the Netherlands.
MapR 5.2: Getting More Value from the MapR Converged Community EditionMapR Technologies
Please join us to learn about the recent developments during the past year in the MapR Community Edition. In these slides, we will cover the following platform updates:
-Taking cluster monitoring to the next level with the Spyglass Initiative
-Real-time streaming with MapR Streams
-MapR-DB JSON document database and application development with OJAI
-Securing your data with access control expressions (ACEs)
Geospatial Business Intelligence made easy with GeoMondrian & SOLAPLayersThierry Badard
Slides of the presentation about GeoMondrian and SOLAPLayers I gave during the 1st rendez-vous OSGeo-Quebec (http://rendez-vous-osgeo-qc.org/2010) at Saguenay, Quebec, Canada on June 15-16, 2010.
The main focus of this study is to find appropriate and stable solutions for representing the statistical data into map with some special features. This research also includes the comparison between different solutions for specific features. In this research I have found three solutions using three different technologies namely Oracle MapViewer, QGIS and AnyMap which are different solutions with different specialties. Each solution has its own specialty so we can choose any solution for representing the statistical data into maps depending on our criteria’s.
Geospatial applications created using java script(and nosql)Comsysto Reply GmbH
Ever wondered how geospatial data works? Why don’t you come along and learn it where you’ll be presented to a fully functioning geospatial application that uses metadata from images to pinpoint them to a map. You’ll be introduced to a NoSQL tool and you’ll learn the basics of NoSQL technologies in a fun and initiative way. Along the way you’ll experience geospatial data, full stack application development using JavaScript and a little bit on semantic data as well. You will experience how easy it is to manage hybrid data (JSON documents, JPEG images as well as RDF triples) in one database, how to query geospatial data and how to work with JavaScript across a three tiered application.
Sven Abels and colleagues presented achievements and new actions from the SOA4All project. Key achievements included the development of MicroWSMO and WSMO-Lite for semantic service annotations, contributions to the USDL incubator activity, and the creation of a real estate finder mobile application using open data. New actions proposed expanding the multimedia search tool, further mobile prototypes, releasing an open source software packaging installer, and providing explanations of using the SOA4All tools together in scenarios.
Meeting today’s dissemination challenges – Implementing International Standar...Jonathan Challener
This document discusses the .Stat system, which serves as a central repository for validated statistics and metadata. .Stat connects data production, sharing, and dissemination processes. It provides three key functional areas: a data upload engine, a data delivery engine, and a data browser. .Stat can be mapped to stages in the Generic Statistical Business Process Model and incorporates standards like SDMX for dissemination, data exchange, and internal data sharing. The document outlines .Stat's current role and future plans to further support SDMX artifacts, ingest, registries, and semantic web opportunities.
This document provides an introduction to a course on big data and analytics. It outlines the instructor and teaching assistant contact information. It then lists the main topics to be covered, including data analytics and mining techniques, Hadoop/MapReduce programming, graph databases and analytics. It defines big data and discusses the 3Vs of big data - volume, variety and velocity. It also covers big data technologies like cloud computing, Hadoop, and graph databases. Course requirements and the grading scheme are outlined.
The Linked Map project is part of the FP7 PlanetData project (http://planet-data.eu/), whose aim is to help organisations to get their big amounts of data exposed online in a useful form with quality. Regarding to this goal and as demonstration of the LMS technology (a transparent semantic proxy for WMS 1.3.0), the project Linked Map has developed a Web platform (http://linkedmap.unizar.es/crowdsourcing-platform/). This platform enables users to assess the quality of an automatic integration of INSPIRE data and Volunteer Geographic Information (VGI). The platform uses a LMS instance. This demonstration involves an experiment that combines in a meaningful way a big INSPIRE dataset that contains data from Annex I and Annex III themes (BCN/BTN25) with VGI data (OpenStreetMap).
The Linked Map project was developed by IAAA Lab (Universidad Zaragoza) and GeoSpatiumLab. These slides were presented at JIIDE 2014 (Lisbon)
This document discusses new tools for visualizing and sharing marine geophysical data. It describes how the DELPH software uses standard GIS formats and viewers to remove bottlenecks in converting proprietary geophysical data formats. DELPH allows for side-scan sonar data, magnetometer data, and sub-bottom data to be acquired, processed, interpreted and exported to formats like KMZ and geoTIFF to facilitate sharing the data in applications like Google Earth. These new capabilities provide digital deliverables and improve data visualization, integration and dissemination.
Similar to Maps4Finland 28.8.2012, Jari Reini (20)
Eero Hyvönen: Matkailusampo, Apps4Finland-työt Paikkatietomarkkinoilla 2012Apps4Finland
Matkailusampo is a project to create a semantic mobile guide for tourists using linked data. It will aggregate cultural event and location data from multiple sources to provide personalized recommendations and trip planning assistance. Content providers can easily upload multimedia content and annotate items semantically. The system is being developed to support tourists throughout the entire trip process from planning to experiencing locations to reflecting afterwards. A demonstration version is available featuring over 17 million linked cultural data records from Finland. The goal is to enhance the cultural tourism experience using semantic web technologies.
Robert Eriksson, Mikko Ahlström: Espoon aurinko- ja geoenergiakartatApps4Finland
Robert Eriksson, Mikko Ahlström: Espoon aurinko- ja geoenergiakartat. Apps4Finland-kilpailutyön esittely Paikkatietomarkkinoilla 7.11.2012. Katso myös: http://apps4finland.fi/2012/11/09/robert-eriksso…oenergiakartat/
The document discusses opening traffic data for new business development apps in Finland. Currently, most traffic apps and interfaces are owned by traffic information providers with no open interfaces. The ITS Factory proposes standard interfaces to raw traffic data and the option to use data from providers. This would allow app developers to access standardized data through interfaces like SIRI and DATEX-II. More information is available on the ITS Factory Developer Wiki.
NewBiz4Finland, Teemu Tapanila, AaltoESApps4Finland
The document outlines a vision for Finland to become a global technology hub within 20 years by investing in people, attitudes, and culture to foster more startups, entrepreneurs, startup competence, and opportunities. It emphasizes building a bold vision and making it even bigger through developing idea-stage teams and creating lifelong know-how.
New biz4finland, teemu tapanila, aaltoesApps4Finland
The document outlines a vision for Finland to become a global technology hub within 20 years by investing in people, attitudes, and culture to foster more startups, entrepreneurs, startup competence, and opportunities. It emphasizes building a bold vision and making it even bigger through developing idea-stage teams and creating lifelong know-how.
New biz4finland, ilkka pirttimaa blindsquare käyttäjäkeskeinen-kehitys-2012Apps4Finland
The document discusses the development of an audio-based augmented reality app called BlindSquare to help visually impaired people navigate their surroundings. It describes negotiating a developer license with the text-to-speech company Acapela, choosing the target audience of blind people, gathering location data from Foursquare, testing early versions with blind users, expanding to support multiple languages based on user feedback, and the positive reception of BlindSquare including comments from users who feel it helps them navigate independently.
New biz4finland 12.9.2012, sami sahalaApps4Finland
This document discusses an API for accessing information about electric vehicle charging stations in Norway. It describes the various data fields that are available through the API, including location details, number of charging points, payment methods, and availability. Developers are encouraged to use the NOBIL API and given a link to the API documentation page for technical specifications.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
2. Agenda
§ Content
(NLS
Finland,
Sta6s6c
Finland,
Helsinki
Region
Infoshare,
….)
§ Content
handling
§ Desktop
GIS:
Quantum
GIS
§ Code
samples
§ Map
with
Openlayers
and
NLS
WMTS
§ Map
with
WMS
and
GeoJSON
§ Map
with
Google
Maps
§ OpenLayers
and
Openstreetmap
§ GeolocaBon
§ Coordinate
conversion
from
GPS
to
local
coordinate
system
§ Map
centered
to
current
locaBon
with
marker
(icon)
§ SpaBal
analysis
§ Oskari.org
3. NLS
Open
Data
Topographic
maps
1:25.000
…
(raster)
Backround
maps
1:10.000
…
1:8
M
(raster)
1:10.000
hTp://www.maanmiTauslaitos.fi/en/opendata
Topographic
Database
(vector)
Ortophotos
(0,5
m)
Eleva6on
model
2m,
10m
…
(grid)
Laser
scanning
data
(LAS)
4. Terms
of
use
The
data
made
available
on
1
May
2012
are
granted
permanent
hTp://www.maanmiTauslaitos.fi/en/opendata/terms-‐of-‐use
and
free
right
of
use.
Free
right
of
use
means
that
available
topographic
data
products
can
without
charge
be:
§ used
within
the
organisa6on
§ published
as
desired
§ distributed
freely
to
others
§ further
processed
to
new
products
§ sold
...or
used
in
any
other
way
-‐
men6on
the
name
of
the
Licensor,
the
name
of
the
dataset(s)
and
the
6me
when
the
Na6onal
Land
Survey
has
delivered
the
dataset(s)
-‐
provide
a
copy
of
this
licence
or
a
link
to
it,
as
well
as
-‐
require
third
par6es
to
provide
the
same
informa6on
when
gran6ng
rights
…
5. NLS
Open
Data
§ hTps://6edostopalvelu.maanmiTauslaitos.fi/tp/karTa?
lang=en
§ Data
orders
to
be
delivered
manually
§ About
30
%
more
than
normally
§ Delivery
by
web
communi6es
§ hTp://paikka6eto.com/2012/05/0/
§ hTp://kartat.kapsi.fi/
18. Conversion
from
Shape-‐file
to
…
XXX
§ Shape
(shp)
is
a
de-‐facto
file
format
for
GIS,
developed
by
ESRI
§ Conversions
will
be
done
by
using
Open
Source
GDAL/OGR
library
§ hJp://www.gdal.org/ogr2ogr.html
§ It
converts
simple
features
data
between
file
formats
§ Supports
coordinate
transformaBons
(e.g.
from
GPS
(WGS84)
to
Finnish
naBonal
coordinate
system
(ETRS-‐
TM35FIN))
20. Conversion
from
Shape-‐file
to
GeoJSON
§ ogr2ogr
-‐f
geoJSON
CapitalRegion.json
CapitalRegion.shp
§ With
same
coordinate
system
as
the
original
§ ogr2ogr
-‐f
geoJSON
CapitalRegionWGS84.json
CapitalRegion.shp
-‐t_srs
EPSG:4326
§ Converted
to
WGS84
coordinate
system
(lon/lat)
22. Interface
standards
§ WMS
Web
Map
Service
o Serves
georeferenced
images
hTp://www.opengeospa6al.org/standards/wms
§ WMTS
Web
Map
Tiling
Service
o provides
map
Bles
(small
images
that
are
part
of
a
map)
hTp://www.opengeospa6al.org/standards/wmts
23. Interface
standards
§ WFS
Web
Feature
Service
o an
interface
allowing
requests
for
geographical
features
across
the
web
o GML
hTp://www.opengeospa6al.org/standards/wfs
hTp://www.opengeospa6al.org/standards/filter
25. Spa<al
architecture
(by
INSPIRE)
Javascript
Etc.
Applica6ons
and
portals
Service
bus
Rights
management
layer
Service
layer
Registry
Discovery
View
Download
Transform.
Invoke
service
service
service
service
service
service
CSW
WMS,
WMTS
WFS
WPS/WCTS
Data
sources
Schemas
Service
Dataset
Code
lists
metadata
metadata
Styles
Spa6al
datasets
27. Publish
content
via
WMS
(Geoserver)
§ Add Store (shape, PostGIS, GeoTIFF etc.)
§ Vector (shape file, database (PostGIS))
§ Raster (GeoTIFF)
§ Create a base map (by adding a layer from
store)
§ Add a style (using SLD - Styled Layer
Descriptor)
§ Test using OpenLayers and check
GetCapabilities using WMS-service
Jari Reini
29.8.2012
28. WMS
example
§ hTps://ws.nls.fi/rasteriaineistot/test/index.html
33. GeoJSON
§ GeoJSON
is
a
format
for
encoding
a
variety
of
geographic
data
structures
§ Point,
LineString,
Polygon,
Mul6Point,
Mul6LineString,
Mul6Polygon,
and
GeometryCollec6on
§ hTp://www.geojson.org/
38. Google
Maps
§ Easy
way
to
build
interac6ve
data
visualiza6ons
on
a
map
and
loca6on-‐based
apps
§ hJps://developers.google.com/maps/documentaBon/
javascript/reference
41. KML
from
MySQL
database
#
one
6me
only
#
get
KML
#
create
table
#
================
#===============
<?php
require('dbinfo.php');
@mysql_select_db($database)
or
die(
"Unable
to
select
database:"
.
mysql_error());
//
Opens
a
connec6on
to
a
MySQL
server.
$connec6on
=
mysql_connect
($server,
$username,
$query="CREATE
TABLE
kml_poi_sample
(lat
$password);
decimal(10,5)
NOT
NULL,
lng
decimal(10,5)
NOT
if
(!$connec6on)
NULL,
descrip6on
varchar(100)
NOT
NULL,
id
int(11)
NOT
NULL
auto_increment,
PRIMARY
KEY
{
(`id`))";
die('Not
connected
:
'
.
mysql_error());
mysql_query($query);
}
mysql_close();
echo
"Database
created";
//
Sets
the
ac6ve
MySQL
database.
$db_selected
=
mysql_select_db($database,
#new
values
$connec6on);
#=================
if
(!$db_selected)
{
$query
=
"INSERT
INTO
kml_poi_sample
VALUES
('$lat','$lng','$descrip6on',$maxid)";
die
('Can't
use
db
:
'
.
mysql_error());
$result=mysql_query($query);
}
if
(!$result)
{
//
Selects
all
the
rows
die('Error:
'
.
mysql_error());
$sql
=
'select
id,name,
lat,
lng,
descrip6on
from
}
kml_poi_sample';
$result
=
mysql_query($sql);
45. Address
search
using
WFS
§ NLS
WFS
service
§ Send
hTp
post
request
and
get
back
XML/GML
§ (demonstrate
using
Firefox
Poster)
§ hTp://xml.nls.fi/Nimisto/Asiakasdokumentaa6o/
WFS/Kuvaus/getCapabili6es_vastaus.xml
§ hTp://xml.nls.fi/Maasto/Maasto6etokanta/
Asiakasdokumentaa6o/WFS/Kuvaus/
GetCapabili6es_vastaus.xml
50. Using
Geoloca<on
§ Geoloca6on
API
Specifica6on
§ hJp://dev.w3.org/geo/api/spec-‐source.html
§ API
provides
scripted
access
to
geographical
loca6on
informa6on
associated
with
the
hos6ng
device
51. Coordinate
conversion
§ From
GPS
to
ETRS-‐TM35FIN
§ From
GPS
to
”Web
Mercator”
(used
by
Google
and
OpenStreetMap)
§ Proj4js
is
a
JavaScript
library
to
transform
point
coordinates
from
one
coordinate
system
to
another
§ hJp://trac.osgeo.org/proj4js/
57. Spa<al
analysis
§ Spa6al
analysis
may
include
tasks
such
as
§ Who
are
my
neighbors?
§ In
which
postal
code
or
municipality
I’m
currently?
§ Spa6al
SQL
standardized
in
SQLMM
:
ISO/IEC
13249l
§ RelaBonship
§ True
or
false
§ Processing
§ Gives
you
a
new
geometry
§ Measurement
§ Calculates
something
§ You
may
use
§ Database
(SQL)
§ Map
server
(e.g.
Geoserver)
§ Javasicript
etc.
libraries
60. Spa<al
analysis
-‐examples
§ In
which
municipality
I
am?
§ Select
nimi_fi
from
municipaliBes
where
Intersects(GeomFromText('POINT
(387324.2534026944
6678252.651510533)'),
GEOMETRY);
§ Neighboring
municipali6es
§ Select
nimi_fi
from
municipaliBes
where
Touches((select
GEOMETRY
from
municipaliBes
where
nimi_fi=‘Helsinki’),
GEOMETRY);
§ Municipali6es
in
50
km
circle
from
here
§ Select
nimi_fi
from
municipaliBes
where
Intersects(Buffer(GeomFromText('POINT
(387324.2534026944
6678252.651510533)'),
50000),
GEOMETRY);
66. Spa<al
Data
Service
Pla_orm
-‐
OSKARI
§ OSKARI
=
Open
Source
KarTaikkuna
(stands
for
Open
Source
map
window)
§ …but
OSKARI
is
more
than
just
a
map
window
in
a
Geoportal…
§ OSKARI
is
an
Open
Source
based
Spa4al
Data
Service
PlaIorm
–
key
principals:
§ Use
exisBng
OS
components:
e.g.
OpenLayers,
jQuery
§ All
developed
code
is
released
under
MIT/
EUPL
licenses
§ Flexible
architecture
allows
for
adding
funcBonality
both
on
the
server
and
client
side
68. Samples
§ All
the
code
samples
will
be
available
at
Github
Apps4Finland
§ hTps://github.com/Apps4Finland
§ And
§ hTps://github.com/reinij
§ …
use
at
your
own
risk
§ …
add
comments,
do
tes6ng
…
69. Interested
in
knowing
more…?
§ hTp://www.uli.se/ogc-‐nordic-‐interoperability-‐day/agenda
§ September
3rd
in
Stockholm