The document discusses using spatial data streams in real-time applications. It describes different types of real-time spatial data, such as stationary data from sensors and dynamic data from moving objects. It then demonstrates the ArcGIS GeoEvent Extension for Server, which can integrate real-time streaming data, perform continuous processing and analytics, and respond to events in real-time by updating maps and sending alerts. The extension includes connectors to ingest data streams and output connectors to respond to events. Filters and processors can be used to analyze incoming data.
Real time observability with Redis and GrafanaMikhail Volkov
On Monday, October 26, 2020, Grafana kicked off ObservabilityCON. The virtual conference included live talks and demos on the newest features, functionality, use cases, and just about everything else in the open source observability ecosystem. After the keynote session, we presented our session on Real-time Observability with Redis and Grafana.
Google Cloud Platform - Building a scalable mobile applicationLukas Masuch
In this presentation we give an overview on several services of the Google Cloud Platform and showcase an Android application utilizing these technologies. We cover technologies, such as Google App Engine, Cloud Endpoints, Cloud Storage, Cloud Datastore and Google Cloud Messaging (GCM). We will talk about pitfalls, show meaningful code examples (in Java) and provide several tips and dev tools on how to get the most out of Google’s Cloud Platform.
Slides from my talk at Python Frederick in July 2017 on Pyspark, Big data and Elastic MapReduce. The slides are fairly short and were only there to give a quick overview. The meat of the presentation is in the Github repo link on the last slide.
Real time observability with Redis and GrafanaMikhail Volkov
On Monday, October 26, 2020, Grafana kicked off ObservabilityCON. The virtual conference included live talks and demos on the newest features, functionality, use cases, and just about everything else in the open source observability ecosystem. After the keynote session, we presented our session on Real-time Observability with Redis and Grafana.
Google Cloud Platform - Building a scalable mobile applicationLukas Masuch
In this presentation we give an overview on several services of the Google Cloud Platform and showcase an Android application utilizing these technologies. We cover technologies, such as Google App Engine, Cloud Endpoints, Cloud Storage, Cloud Datastore and Google Cloud Messaging (GCM). We will talk about pitfalls, show meaningful code examples (in Java) and provide several tips and dev tools on how to get the most out of Google’s Cloud Platform.
Slides from my talk at Python Frederick in July 2017 on Pyspark, Big data and Elastic MapReduce. The slides are fairly short and were only there to give a quick overview. The meat of the presentation is in the Github repo link on the last slide.
Analyze Twitter data completely in Bluemix. Collect data, add sentiment, copy to in-memory database, analyze with R or WatsonAnalytics. All in the cloud.
How to move a mission critical system to 4 AWS regions in one year?Wojciech Gawroński
A year ago our team was challenged to enhance the scope and scale of an existing platform, that is providing significant revenue for our client. As the designers and maintainers of that solution, we decided to leverage AWS cloud during that transition. In the presentation, I would like to discuss how we have tackled that migration - with the assumption that we had to move in a limited resource, hybrid cloud environment - working in close cooperation with teams responsible for other parts of the system. As I stated previously - it was a challenge - and I would like to talk what problems we have solved during that process. Also, what services we have leveraged to smooth the transition. And last, but not least - I would like to present how we have maintained the delivery pipeline, automation and massive pile of CloudFormation templates and why AWS Lambda is an excellent glue for any operational work you have to do in the cloud. Our hard work paid off. In October 2017 we have deployed our system into 4th AWS region. Bare with me during the talk, and you will learn how we achieved that
Lessons From Officeworks on Optimising Persistent Storage on AWS (Sponsored b...Amazon Web Services
Learn how Officeworks leverages NetApp’s Cloud Data Services to simplify storage and radically reduce costs. Greg Rose, Principal Systems Engineer at Officeworks, will share first-hand experience using Amazon EC2, Amazon EBS and Amazon S3 with NetApp Cloud Volumes. See how Officeworks instantly creates multi-protocol persistent storage volumes, clones data for easy Dev & Test, utilizes de-duplication to reduce volume sizes, and automatically tiers their data to Amazon S3. Leveraging Officeworks’ techniques with NetApp’s Cloud Volumes, you too will get the most from your cloud investments.
Our team worked together on a load balancing and auto-scaling project with the help of Amazon’s web services. The main goal of the project was to help balance server load by redistributing a computer’s workload between two or more machines. The auto-scaling feature integrated with the project has been used to help increase or decrease the number of instances on the server dynamically based on the traffic received.
Experience how live virtual 3D worlds rendered with Amazon Lumberyard, a free, cross-platform, 3D game engine, interconnect with IoT devices in the real world. This session will illustrate how AWS IoT can be used to remotely control animate objects with Bluetooth, such as a Sphero robot. By using AWS Lambda and AWS IoT, we will create bi-directional communication between moving robots that detect collisions and a virtual world rendered in Amazon's game engine. By using AWS IoT with the Alexa Skills Kit and the Amazon Echo, we will learn how to control the physical and virtual robots through voice.
Speaker: Olivier Klein, Emerging Technologies Solutions Architect, Amazon Web Services, APAC
Virtualisation to cloud - are we there yet?DImension Data
Your journey from virtualisation to the cloud can be a
long, winding road, or a superhighway. It all depends
on who you choose as a travelling companion.
Learn more here: http://www.dimensiondata.com/Global/Latest-Thinking/Are-We-There-Yet-Virtualisation-to-Cloud/Pages/home.aspx
Driving Service Reliability Through Autoscaling Workloads on OpenShiftDevOps.com
Containers and orchestrators — like OpenShift — promise greater resource efficiency and simplified deployments. Developers provide code in the form of a container, define their required resources for operation, and the orchestrator does the rest. Sounds easy, but if your workloads are dynamic in nature, how can you ensure sufficient resources to meet the performance and availability requirements of your customers?
In this webinar, Ara Pulido, Technical Evangelist at Datadog, will demonstrate how to autoscale your application workloads on OpenShift. You will learn frameworks for how to identify their key work and resource metrics; as well as how to use them to drive horizontal and vertical pod autoscaling so that you can maximize efficiency, while ensuring service reliability.
Services comparison among Microsoft Azure AWS and Google Cloud Platformindu Yadav
This article helps to understand services comparison between Microsoft Azure, Amazon Web Services (AWS) and Google Cloud. When we are planning a multicloud solution with Azure, AWS and GCP, you can compare the IT capabilities of Azure, AWS and GCP services in all categories.
In the following tables, there are multiple services listed for for Azure, AWS and GCP.
Analyze Twitter data completely in Bluemix. Collect data, add sentiment, copy to in-memory database, analyze with R or WatsonAnalytics. All in the cloud.
How to move a mission critical system to 4 AWS regions in one year?Wojciech Gawroński
A year ago our team was challenged to enhance the scope and scale of an existing platform, that is providing significant revenue for our client. As the designers and maintainers of that solution, we decided to leverage AWS cloud during that transition. In the presentation, I would like to discuss how we have tackled that migration - with the assumption that we had to move in a limited resource, hybrid cloud environment - working in close cooperation with teams responsible for other parts of the system. As I stated previously - it was a challenge - and I would like to talk what problems we have solved during that process. Also, what services we have leveraged to smooth the transition. And last, but not least - I would like to present how we have maintained the delivery pipeline, automation and massive pile of CloudFormation templates and why AWS Lambda is an excellent glue for any operational work you have to do in the cloud. Our hard work paid off. In October 2017 we have deployed our system into 4th AWS region. Bare with me during the talk, and you will learn how we achieved that
Lessons From Officeworks on Optimising Persistent Storage on AWS (Sponsored b...Amazon Web Services
Learn how Officeworks leverages NetApp’s Cloud Data Services to simplify storage and radically reduce costs. Greg Rose, Principal Systems Engineer at Officeworks, will share first-hand experience using Amazon EC2, Amazon EBS and Amazon S3 with NetApp Cloud Volumes. See how Officeworks instantly creates multi-protocol persistent storage volumes, clones data for easy Dev & Test, utilizes de-duplication to reduce volume sizes, and automatically tiers their data to Amazon S3. Leveraging Officeworks’ techniques with NetApp’s Cloud Volumes, you too will get the most from your cloud investments.
Our team worked together on a load balancing and auto-scaling project with the help of Amazon’s web services. The main goal of the project was to help balance server load by redistributing a computer’s workload between two or more machines. The auto-scaling feature integrated with the project has been used to help increase or decrease the number of instances on the server dynamically based on the traffic received.
Experience how live virtual 3D worlds rendered with Amazon Lumberyard, a free, cross-platform, 3D game engine, interconnect with IoT devices in the real world. This session will illustrate how AWS IoT can be used to remotely control animate objects with Bluetooth, such as a Sphero robot. By using AWS Lambda and AWS IoT, we will create bi-directional communication between moving robots that detect collisions and a virtual world rendered in Amazon's game engine. By using AWS IoT with the Alexa Skills Kit and the Amazon Echo, we will learn how to control the physical and virtual robots through voice.
Speaker: Olivier Klein, Emerging Technologies Solutions Architect, Amazon Web Services, APAC
Virtualisation to cloud - are we there yet?DImension Data
Your journey from virtualisation to the cloud can be a
long, winding road, or a superhighway. It all depends
on who you choose as a travelling companion.
Learn more here: http://www.dimensiondata.com/Global/Latest-Thinking/Are-We-There-Yet-Virtualisation-to-Cloud/Pages/home.aspx
Driving Service Reliability Through Autoscaling Workloads on OpenShiftDevOps.com
Containers and orchestrators — like OpenShift — promise greater resource efficiency and simplified deployments. Developers provide code in the form of a container, define their required resources for operation, and the orchestrator does the rest. Sounds easy, but if your workloads are dynamic in nature, how can you ensure sufficient resources to meet the performance and availability requirements of your customers?
In this webinar, Ara Pulido, Technical Evangelist at Datadog, will demonstrate how to autoscale your application workloads on OpenShift. You will learn frameworks for how to identify their key work and resource metrics; as well as how to use them to drive horizontal and vertical pod autoscaling so that you can maximize efficiency, while ensuring service reliability.
Services comparison among Microsoft Azure AWS and Google Cloud Platformindu Yadav
This article helps to understand services comparison between Microsoft Azure, Amazon Web Services (AWS) and Google Cloud. When we are planning a multicloud solution with Azure, AWS and GCP, you can compare the IT capabilities of Azure, AWS and GCP services in all categories.
In the following tables, there are multiple services listed for for Azure, AWS and GCP.
Fotos antiguas de mujeres de Torres (Jaén). Algunas de ellas trabajando. También hay dibujos de sus abuelas, hechos por niños y niñas del CEIP Aznaitín.
Elohim Industrial Sales, Inc. (EISI), an ISO 9001:2008 Certified, Exclusive Distributor of Hager and Euromate in the Philippines.
EISI is a leading Solutions Provider and Systems Integrator of Schneider Electric Automation in the Philippines. EISI also carry the SCHNEIDER ELECTRIC POWER METERS and HARMONICS filter products.
EISI is committed to total quality service. We offer business operations with innovative solutions through conceptualization, design and engineering, project management, testing and implementation, training, calibration and after sales support.
'Jugaad' is the improvised, frugal Indian approach to innovation. It is becoming increasingly influential in the thinking of many corporations. This series of presentations examines creativity and innovation and means to apply proven techniques for driving systematic, repeatable and managed innovation in your company.
Intel Software Android Webinar Series: Sviluppare le vostre app per Android, ...Francesco Baldassarri
Presentazione dal primo episodio della serie Intel Software Android Webinar (4 Novembre 2014)
Presentata da
Francesco Baldassarri
Italian Community Manager
Intel Corporation
Developer Relations Division
Intel Software & Services Group
Twitter: @francesco_1985
http://software.intel.com/it-it/android
Our Lecture on the '4th Government IT Modernization' in Washington DC, USA.
Reg Mulder, Delta Software Technology, has attended the conference and presented information about our successful IT Modernizations projects from the last decade: "Enabling New Technologies, Reducing Costs and Improving Quality Through Automated Software Modernization".
Aerospike Today and Tomorrow Product Roadmap 2023_Lenley Hensarling.pdfAerospike, Inc.
The Aerospike data platform pushes the boundaries of what a real-time data system can do stemming from our core design center principles. Hear from the Aerospike Chief Product Officer, Lenley Hensarling, about the advances being made now and in the near future surrounding multi-model capabilities like support for property graphs, multi-record transactions, observability and management, in-memory advances, Kubernetes operator, and more.
PuppetConf 2017 | Adobe Advertising Cloud: A Lean Puppet Workflow to Support ...Nicolas Brousse
Building and scaling a multi-cloud solution that's enabled for cloud bursting is not a trivial task, and requires a lot of automation. While experiencing hyper-growth on the Adobe Advertising Cloud, our operations engineering team had to frequently update and improve its workflow in order to stay nimble and allow fast delivery of new infrastructure. At TubeMogul/Adobe Advertising Cloud, we implemented a lean Puppet workflow that enables the operations engineering team to deploy and support a broad range of services in a complex environment that supports hundreds of billions of requests a day. With over 150 changes released per day on its production infrastructure, the team had to adjust and tune its processes to enforce quality, standards, to review, and to prevent systems from breaking. In this talk, you will learn how we implemented our infrastructure as code by leveraging tools like Puppet, Gerrit, Terraform, and Jenkins, which together enable our private and public cloud infrastructures across 12 locations and four continents.
PuppetConf 2017: Adobe Advertising Cloud: Lean Puppet Workflow to Support Mul...Puppet
Building and scaling a multi-cloud solution that's enabled for cloud bursting is not a trivial task, and requires a lot of automation. While experiencing hyper-growth on the Adobe Advertising Cloud, our operations engineering team had to frequently update and improve its workflow in order to stay nimble and allow fast delivery of new infrastructure. At TubeMogul/Adobe Advertising Cloud, we implemented a lean Puppet workflow that enables the operations engineering team to deploy and support a broad range of services in a complex environment that supports hundreds of billions of requests a day. With over 150 changes released per day on its production infrastructure, the team had to adjust and tune its processes to enforce quality, standards, to review, and to prevent systems from breaking. In this talk, you will learn how we implemented our infrastructure as code by leveraging tools like Puppet, Gerrit, Terraform, and Jenkins, which together enable our private and public cloud infrastructures across 12 locations and four continents.
What is expected from Chief Cloud Officers?Bernard Paques
The new CxO is taking care of cloud computing for his company. Among his responsabilities: brand experience, go-to-market and business agility. What do these mean in terms of capabilities?
Securing Red Hat OpenShift Containerized Applications At Enterprise ScaleDevOps.com
Improve and simplify securing Red Hat OpenShift containerized environments by leveraging CyberArk’s secrets management solutions and out-of-the-box certified integrations. This demo heavy technical session expands on the prior webinar and uses demos and examples to give practical guidance on how to improve securing your organization’s containerized applications. All while avoiding impacting developer velocity.
This session will provide:
A clear understanding of the challenges and requirements for securing Kubernetes and Red Hat OpenShift containerized environments at enterprise scale
The benefits of enhancing the native secrets management and security capabilities of OpenShift with CyberArk’s certified integrations
Guidance to address common security challenges, including achieving enterprise scale and availability, minimizing the time spent on audit and compliance requests, avoiding problems with developer adoption
Practical steps to get started using Conjur Open Source and next steps
CyberArk, the global leader in privileged access management, offers the industry’s most complete solution for securing both the credentials and secrets used by applications, Playbooks, scripts and other non-human identities, as well as human users. CyberArk solutions are deployed at many of the world’s largest enterprises including over half the Fortune 500.
Presentation of the Campus Navigator, a solution for seamlessly guiding visitors indoor and outdoor. The solution was developed by Esri Deutschland and NavVis.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GIS data typically represents state at a specific moment in time: “historic”, “current”, or “future”.
However, there are some important trends that deviate from this static pattern.
An increasing number of data from social networks
The availability of existing and new sensors of any kind.
Real-time GIS data is a continuous stream of events flowing from sensors, where each event represents the latest state of the sensor.
There are many examples of such sensors including cars, tweets, traffic, smart home metering etc.
How do we deal with real-time GIS data? What steps are included. Let‘s have a look at the 3 steps that make up the general workflow.
First, we obviously need to connect to our sensors. By nature, each sensor speaks his own language. Or more technically, uses his own protocols to encode and transport the real-time data.
Second, we need to diggest the received information. Likely, we do want to filter down the data to a subset that is of interest to us. This could be …
And finally, we want to act upon certain events.
Das neueste Release von ArcGIS for Server (10.2) ermöglicht die Einbindung von Big Data und Echtzeit-Daten. Es wird damit zwei wichtigen aktuellen Trends Rechnung getragen: 1) die ansteigende Verfügbarkeit von Daten aus sozialen Netzwerken, 2) die Verfügbarkeit bestehender und neuer Sensoren in einer wachsenden Vielzahl von „Trägern“.
Esri has a solution for this, the GeoEvent Processor.
http://www.esri.com/software/arcgis/arcgisserver/extensions/geoevent-extension
http://pro.arcgis.com/share/geoevent-processor/
Esri has a solution for this, the GeoEvent Processor:
Integrates real-time streaming data into ArcGIS
Performs continuous processing and real-time analytics
Sends updates and alerts to those who need it where they need it
http://www.esri.com/software/arcgis/arcgisserver/extensions/geoevent-extension
http://pro.arcgis.com/share/geoevent-processor/
Let‘s walk through the general workflow again and see how GeoEvent Processor adresses the 3 steps involved.
Input connectors, as said already, take over to connect ArcGIS to our data sources.
Esri is focusing on common data sources that …
However, you might encounter more industry specific data sources. In that case a look at the gallery might be worth the effort.
Once we have made the real-time data available to us, we probably want to do something with it.
This actually falls apart into 2 parts.
First, we want to filter down to those data that actually are of interest to us.
Then, we acutally want to further process the data, e.g. enrich that data.
Hier eine Übersicht der verfügbaren Filter und Prozessoren.
Field Enricher: Erweitert Geoevents um Attribute aus einem FeatureService oder einer Textdatei auf Basis einer tabellarischen Verbindung (Join).
Field Reducer: Reduziert GeoEvents um eine festgelegtes Set von Feldern.
Field Calculator: Berechnet neue Datenfelder aus existierenden Feldern über mathematische Ausdrücke oder Textmanipulation.
GeoTagger: Berechnet für jeden Geoevent räumliche Beziehungen aus einer Liste von digitalen Zäunen (Geofences) – IN, OUT, ENTER, EXIT
Field Mapper: Setzt Input Geoevent Definitions in Bezug zu Output Geoevent Definitionen über ein festgelegtes Feld
Track Gap Detector: Ermittelt das Nicht-Eintreten von zu erwartenden Ereignissen und informiert entsprechend.
Incident Detector: Ermittelt, aktualisiert und verwaltet Ereignisse für jeden Geoevent auf Basis festgelegter Bedingungen
Während die Verwendung von attributiven Filtern keiner weiteren Erläuterung bedarf, hier zur Verdeutlichung die Möglichkeiten der kontinuierlichen räumlichen Filterung:
Inside/Ouside-Events: werden jeweils ausgelöst, solange ein Objekt sich innerhalb bzw. außerhalb einer Geofence befinden
Enter/Exit-Events: werden jeweils in dem Moment des Ein- oder Austretens eines Objektes in einen bzw. aus einem Geofence heraus ausgelöst
Architektur basiert auf OSGi mit Apache Felix als Framework