Automation Keys: What They Are and Why You Should Use Them
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The document provides an overview of automation keys in FME Server, explaining their types and functions in creating complex workflows. Automation keys store JSON-formatted messages that enhance data processing and integration efficiency, improving both time and data quality. It also includes a demo on building automations and suggestions for future enhancements in FME Server's capabilities.
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ArcGIS Utility Network Migration - The Hunter Water StorySafe Software Hunter Water Corporation, the providers of water and wastewater services to a population of almost 600,000 people in New South Wales, Australia, engaged 1Spatial, the global provider FME and other geospatial software and solutions for improved data governance. This presentation will outline how 1Spatial collaborated with Hunter Water in their ArcGIS Utility Network (UN) Migration as part of their GIS Transformation Project. This project allowed Hunter Water to leverage the latest digital geospatial technologies to visualise and analyse their networks and assets. Validation of the data being loaded into the new GIS platforms was completed using 1Spatial's skills and technologies. Under this partnership, Hunter Water leveraged 1Spatial's expertise and technology in the cloud to streamline its data migration process, ensuring the efficient transfer of critical information for its operations. This strategic move aligned with Hunter Water’s commitment to delivering the highest quality water and wastewater services to its customers across the Lower Hunter region. This presentation will detail the issues encountered by Hunter Water in their project of migrating their existing system to the new ArcGIS Utility Network. The methods they adopted to remedy their issues and how 1Spatial’s technical expertise and tools, assisted Hunter Water to maintain data quality and accuracy while facilitating data migration and integration ensuring the integrity of its information assets.
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Supporting the NextGen 911 Digital Transformation with FMESafe Software Next Generation 911 involves the transformation of our 911 system from an old analog one to the new digital internet based architecture. The evolution of NG911 opens up a host of new opportunities to improve the system. This includes everything from device based location, to real time text. This can improve location accuracy dramatically as well as provide live updates from the citizen in need along with real time sensor updates. There is also the opportunity to provide multi-media attachments and medical records if the end user approves. This digital transformation and enhancements all require the support of new NENA and CRTC standards, along with integration across a variety of data streams.
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Proactive Server and System Monitoring with FME: Using HTTP and System Caller...Safe Software In today's fast-paced environment, proactive monitoring and quick response to server and system issues are essential to maintaining operational continuity. This talk will explore how FME's HTTP Caller and System Caller transformers can be leveraged to monitor and manage your servers and services more effectively. Attendees will learn practical approaches for using HTTP to monitor web services, interpret error responses, and initiate automated alerts. Additionally, we will cover the use of the System Caller transformer to monitor running services and handle errors, with the ultimate goal of enabling remote restarts of Windows services. By the end of this session, participants will be equipped with: Techniques for using HTTP to monitor web services and manage error responses.
Methods for leveraging the System Caller to keep tabs on running services and trigger necessary alerts.
The ability to allow authorized personnel to remotely restart Windows services, minimizing downtime.
This session is ideal for system administrators, IT professionals, and FME users looking to enhance their monitoring capabilities.
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My Journey from CAD to BIM: A True Underdog StorySafe Software With the ever-increasing use of BIM models and 3D technology in the A/E/C sector, there have been numerous efforts to transition from 2D CAD to 3D object-based digital twin models. When first introduced to FME Form (nee’ Workbench), I was immediately inspired to use it for this purpose. To create a Revit model in the conventional way, it takes several months and hundreds of thousands of dollars to create a medium-sized office building. For many public and private sector institutions charged with building and maintaining real estate assets, this is a deal breaker, or at the very least, a long, expensive effort. The goal is not to make a highly detailed LOD 400 federated Revit model, but rather a geometrically correct ‘lighter’ version that can be used for future projects and attain the ‘critical mass’ needed to start a BIM program. Having one or two conventional models out of many buildings will not achieve that, interest will wane, and the expensive models will soon be out of date. I will be demonstrating my workflow to generate LOD 200 Revit models from CAD files and a few other data sources using CAD, FME and pyRevit. The majority of the work is on the CAD side, with FME interpreting the files into data used by a custom pyRevit extension in Revit. Like the movie Dodgeball, I had naysayers, uninterested users, many technical challenges, and a well-resourced competition that were dismissive of my scrappy, outside-the-box methods. This has been a 4 year long journey so far and is still evolving, but there has been redemption as others have seen my process in action. I think you will be entertained!
Modern Land & Property Management Supported by FME
Modern Land & Property Management Supported by FMESafe Software Ireland is experiencing a housing shortage like in many other countries around the world. This is driving the need for local and central government to understand their land & property portfolio. They need to improve information sharing to curb the inefficiencies, errors, and risks that arise when departments work in isolated data silos. FME is used in conjunction with M.App Enterprise from Hexagon to provide government with a property management solution. Specific to FME, it is integrated with M.App Enterprise to provide user with a Self-Service Reporting Portal (FME Flow Gallery App), an Image Import and automated alerts for example when a planning application are submitted which encroach on council land/properties.
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Canopy Detection and Heat Stress Map in Support to Green Management of Urban ...Safe Software Urban vegetation plays a critical role in mitigating heat stress and enhancing the quality of life in cities. This presentation showcases the use of FME as a powerful engine to detect and classify vegetation, creating a data product that supports local governments in developing effective green strategies. By analyzing the current state of vegetation and assessing its impact on heat stress, the solution enables cities to prioritize initiatives based on cost-effectiveness and environmental impact. The result is a data-driven approach to fostering sustainability and resilience in urban environments.
FME as an Orchestration Tool with Principles From Data Gravity
FME as an Orchestration Tool with Principles From Data GravitySafe Software Processing huge amounts of data through FME can have performance consequences, but as an orchestration tool, FME is brilliant! We'll take a look at the principles of data gravity, best practices, pros, cons, tips and tricks. And of course all spiced up with relevant examples!
Automating the Geo-Referencing of Historic Aerial Photography in Flanders
Automating the Geo-Referencing of Historic Aerial Photography in FlandersSafe Software In the Flanders region of Belgium, a vast archive of historical aerial photographs continues to be digitized, with new images regularly needing to be added to a public-facing digital platform. However, there’s a significant challenge: None of these photos are georeferenced, making them incompatible with the tool, which only supports georeferenced files. Traditionally, all the photos were organized solely by flight route and georeferenced manually. Without this critical geometry metadata, manually georeferencing every image would be an extremely time-consuming and labor-intensive process. To solve this, we developed an automated solution using FME to bridge the gap. By interpolating between a few georeferenced images, the process estimates the entire flight path. Using this we can then georeference all aerial photos along that path using the four corner points of each image based on the interpolated data with an acceptable degree of accuracy. While the process may not deliver centimeter-level precision, overlap between images ensures users can always view their areas of interest on the platform. The result? A dramatic reduction in manual effort, cost savings, and faster access to georeferenced images for the public. This case demonstrates how FME can significantly optimize large-scale data processes, delivering value through automation and efficiency.
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Why aren't you using FME Flow's CPU Time?Safe Software CPU Time/CPU Usage/Dynamic Engines...it's known by a few names and is under-utilized by the FME community, but is a valuable licensing option in FME Flow. Instead of buying a fixed engine license, you can buy time that an engine or multiple engines can run. This can have a cost benefit to your organization, but it also allows you to cater to a range of scenarios that a fixed engine can't. So lets quickly look at some of those advantages this addition can bring.
Unlocking FME Flow’s Potential: Architecture Design for Modern Enterprises
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Simplify Your FME Flow Setup: Fault-Tolerant Deployment Made Easy with Packer...Safe Software Deploying a fault tolerant FME Flow on Windows is difficult and time consuming. There are multiple components that all have to be installed in the correct way, and a shared disk that needs to be set up and mounted on all machines with the right permissions. We have simplified all of this with our Infrastructure as Code templates which users can use to create their own FME images in the cloud, and deploy using our Terraform templates. Using Packer and Terraform, this complicated deployment becomes something that is much simpler. It can also be automated using pipelines. It is also much more easily reproducible which allows for easily deployment into a staging environment as well as a production environment. This also helps for upgrades where a new version of FME can be deployed into a staging environment and tested before moving it into a production environment without the headache of all the manual steps needed to create a distributed deployment of FME Flow. This talk will walk the audience through what the IaC templates are, and have a demo of using them to deploy a Distributed Fault Tolerant FME Flow using Packer and Terraform in AWS. The idea is that this can show the audience how this complicated deployment can be made much simpler.
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From Swamps to Data Lakes: Slowly Changing Dimensions (SCD) with FMESafe Software In fast-changing environments, retaining historical accuracy is crucial but often overlooked. How do you ensure reliable, consistent reporting in a dynamic data landscape? This session is designed for data professionals looking to maintain historical accuracy and improve the efficiency of data lake management. When you want to replicate previous reports or analysis as it ran at a specific time or day in the past, a typical database or data lake may have changed over time, and your old queries and analyses break. When using Slowly Changing Dimensions on your data lake, you have a way to preserve the evolving nature of your schema and account for historical records/truths. By adding three columns that log the timestamp of a record and never deleting a column, you can replicate your analysis at any time in the past. With FME, we build up this history and have a special trick using hashing to check which records and schemas have changed efficiently! This presentation will teach you about the data lake medallion approach combined with Slowly Changing Dimensions and how we can speed up the insertion and updating of new records using widely available hashing techniques in FME.
This session will equip you with the knowledge to transform your data swamp into a robust and beautiful data lake, ready to handle historical analyses with ease. Let FME be your guide in making your data lake future-proof!
FME Flow: Secure and Clean by Todd Davis
FME Flow: Secure and Clean by Todd DavisSafe Software FME Flow is a very powerful application, that allows users to achieve amazing outcomes. But are you looking after the FME Flow environment so that processes don't just break, that you aren't giving permission to users/public that can be exploited, that deleting something doesn't have a much bigger implication than you expected and that your environment is 'clean'. In this presentation, we will look at dependencies, risks for security, keeping FME Flow clean and a look out how that can be all managed.
Bridging CAD, IBM TRIRIGA & GIS with FME: The Portland Public Schools Case
Bridging CAD, IBM TRIRIGA & GIS with FME: The Portland Public Schools CaseSafe Software Portland Public Schools leveraged FME to automate the integration of their CAD, GIS, and IBM TRIRIGA systems, drastically reducing manual processes and ensuring data consistency across platforms. Cross-platform data integration is a common challenge for large organizations, often affecting data quality, speed, and creating silos. Through this automation, Portland Public Schools achieved an 80% reduction in data update time and a significant improvement in data accuracy. This talk will demonstrate how public institutions, government bodies and GIS users in general can utilize FME to modernize workflows, break down data silos, and ensure data-driven decision-making, offering practical strategies for digital transformation in large organizations. A few numbers to give you an idea of the magnitude of the project: 7 FME Form workspaces developed, 3 FME Flow automations deployed, 1 FME Flow app gallery created to manually trigger the process as needed, A whopping 1,000+ transformers used All delivered in 2 distinct environments (UAT/PROD) to guarantee greater stability during maintenance and the development of future enhancements to the solution.
The Growing Value and Application of FME & GenAI
The Growing Value and Application of FME & GenAISafe Software With the cost of using Generative AI services dropping exponentially and the array of available models continually expanding, integrating AI into FME workflows has become inexpensive, accessible and effective. This presentation explores how GenAI within FME can cost-effectively transform data workflows by automating data extraction, validation, classification and augmentation tasks. We’ll discuss how FME’s no-code flexibility enables users to combine Generative AI and Computer Vision tools that create efficient workflows tailored to specific challenges. Using recent practical examples, we’ll demonstrate how these integrations can simplify complex tasks, save time and enhance data quality.
Mastering AI Workflows with FME by Mark Döring
Mastering AI Workflows with FME by Mark DöringSafe Software Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME’s powerful tools for training, optimization, and seamless integration
From Field to Digital Twin: Leveraging FME for Efficient Data Ingestion in Di...
From Field to Digital Twin: Leveraging FME for Efficient Data Ingestion in Di...Safe Software Effective disaster recovery and damage mitigation require the ability to rapidly identify sensitive and vulnerable environmental elements. In crisis scenarios, swift and informed decision-making is paramount to minimizing impacts and protecting resources. This showcase highlights the implementation of FME as a critical data orchestration platform, enabling the seamless integration, organization, and processing of information gathered via a mobile web app during emergency phases. By delivering processed data to the digital twin in near-real-time, FME ensures that decision-makers have access to up-to-date, actionable insights precisely when they are needed most. This approach significantly enhances the speed and effectiveness of response strategies, ultimately improving outcomes in emergency management and environmental protection.
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- 4. POLL: Have you ever used FME Server Automations? A. I have never used FME Server B. I use FME Server but have never built an Automation C. I have created basic Automation workflows D. I have built complex Automations
- 5. Automating processes saves time, money, improves data quality, helps businesses scale and so much more.
- 6. What are Automation Keys? FME Server Automations allow you to build complex enterprise integration workflows by sending JSON-formatted messages between components (Triggers & Actions). Automation Keys store the JSON key-value pairs in a user-friendly format so they can be used downstream in the workflow.
- 7. Event Keys What: predefined output keys specific to the trigger, internal and external action type. Why: to create dynamic workflows that process event information in real-time.
- 8. User Keys What: output keys that can be defined on a component by the user building the automation. Why: when the same action is present more than once in a workflow to prevent overwriting certain keys or use keys from multiple events in the same downstream parameter.
- 9. Automation Writer Keys What: output keys that store attribute values from each feature processed by a workspace. They are present on the Run Workspace Action only when there is an Automation Writer in your workspace Why: Enhance Automations functionality by orchestrating data-driven workflows.
- 10. Global Keys What: text values defined by the user building the Automation for use at the Automation level without ties to a specific component. Why: reduce maintenance efforts by enabling you you to reference the same value in multiple places.
- 11. For ultimate flexibility use keys to create dynamic Automation workflows
- 12. DEMO The Goal Breakdown a State into Counties & Blocks for processing, then send a single email once the entire Automation is complete. The Obstacles There are many key types and it’s confusing to know when to use them. Plus the Merge action cannot be used with the Automation Writer. The Solution Use Automation Keys to pass information between workspaces and send messages downstream and use the Split-Merge Block to send a single email. The Result The various types of keys allow you to pass event, feature attribute, or user-defined information throughout an Automation.
- 13. Step One: Manual Trigger Keys ● Provide a user-defined JSON message at Automation runtime ● Create keys from the JSON key-value pairs {“state”:“Hawaii”} Note: This also applies to the Webhook Trigger Resources Run an Automation using the Manual Trigger
- 14. Step Two: Run Workspaces using Automation Writer Keys ● Create an additional output port per Automation Writer Feature Type ● Use the Automation Writer to parse attributes out of a workspace downstream in an Automation workflow ● Trigger one downstream event for every feature that enters the Automation Writer Resources Building Integrations with the FME Server Automation Writer
- 15. Tip To use Keys in a Workspace Action, the Workspace must contain Published Parameters!
- 16. Demo
- 17. POLL: How can we consolidate workspace actions? A. Merge Action B. Run a Workspace C. Split-Merge Block D. Filter Action
- 18. Step Three: Rethinking Keys with the Split-Merge Block ● Split-Merge Blocks will output one event key per input ● Compatible with Automation writers ● Event keys aren’t aggregated, you’ll only receive information from the very last job Resources Job Orchestration with Automations
- 19. Step Four: Global Keys and Email Recipients ● Global keys can be used anywhere in an Automation! ● Great for repeatedly-used parameters (i.e: Email recipients, file paths) ● One single key to manage our Email To recipients Resources Send email from Automations
- 20. Custom Email Subject & Body using Event Keys ● Multiple keys can be used in a single parameter ● Concatenate key values together or build custom text bodies
- 21. Demo
- 22. Final Tip The Log a Message action is your best friend when authoring with keys!
- 23. What next? Download FME 2021.1 Check out the additional resources and download the project shared with this webinar Build your first Automation and use keys to create a dynamic workflow Free Trial | Upgrade
- 24. Resources Article: Working with User and Global Keys in an Automation Article: Job Orchestration with Automations Blog: Enterprise Integration Wins: 5 Reasons to Add Automation Documentation: Working with Output Keys in Automations Workflows
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- 26. Have Ideas for Improvements? ● Server-wide global keys for FME Server ● Allow date/time parameter values to be set via Automation Global Keys ● Password support for FME Server Global Keys (data types) ● Add log file URL as available key from completed workspaces in Automations Share them on the FME Community
- 27. Q&A
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