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Community Alerts

Alerts about activities taking place in different parts of the FME Community and Safe customer ecosystem.

225 Posts
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asked in FME Hub Alerts
Az_BlobStorageConnector

FME Hub user cyclomedia just uploaded a new transformer to the FME Hub. Custom Azure BlobStorageConnector The standard FME Transformer Called AzureBlobStorageConnector doesn't support authentication via an Azure Application for connecting to your Blob Storage using a predefined web connection or web services. This custom transformer is a special version where your are able to connect to Azure BlobStorage using a web connection / web services. In the background, this transformer is working with the Azure Rest API. The webconnection needs to be referenced to a Azure Application in Azure Active Directory, where your permissions are managed. You can list, download, upload, copy, and remove your blobs, as well as create or remove containers, depending on the permissions granted to the Azure Application. Generating a web service in FME You'll need: - Tenant-ID - Client-ID - Client Secret This transformer is builded in: FME(R) 2024.2.1.0 (20241202 - Build 24801 - WIN64) By: Jan Smitsman Would

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FMEFlowFailedJobsReportGenerator

FME Hub user martin_ekstrand just uploaded a new transformer to the FME Hub. Generates a customizable HTML report of failed jobs using the FME Flow REST API. This transformer retrieves all failed jobs from FME Flow and outputs an HTML report that can be emailed or embedded in a dashboard in FME Flow. The report's appearance can be customized by modifying the CSS. You can split the report based on job attributes—for example, generate separate reports for jobs triggered by Automations versus those started via Workspace Apps. Additionally, the raw feature output is available if you prefer to build your own custom reports or workflows. Would you like to know more? Click here to find out more details!

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asked in Blog Alerts
How utility & energy companies use FME for smarter data and operations

Blogger Tiana Warner just posted a new article to the FME Blog. Title: How utility & energy companies use FME for smarter data and operations Summary: Discover how energy and utility companies like ONEOK use FME to automate workflows, enhance safety, and drive efficiency. Introduction: Efficiency, safety, and automation are key drivers of success in the energy and utilities sector. During our recent webinar, Paige Florie and Charles Lubensky from ONEOK shared how they have harnessed FME to enhance operational workflows, improve risk management, and drive efficiency across their organization. Here are some valuable insights they shared about how these solutions can be adapted across the industry. Would you like to know more? Click here to read this new article!

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OpenAIConnector

FME Hub user chrisatsafe just uploaded a new transformer to the FME Hub. OpenAIConnector Transformer Documentation The OpenAIConnector is a custom FME transformer that enables integration with OpenAI's /v1/responses endpoint. This transformer allows you to send prompts to OpenAI's large language models and receive responses directly within an FME workspace. This model accepts text, image (Vision), file search, and web search based inputs. Purpose This transformer supports AI-driven tasks such as content generation, classification, summarization, or transformation of structured/unstructured data, by leveraging OpenAI's text generation capabilities in a repeatable, automatable data workflow. The Example Use Case Imagine you have a dataset with a column of customer support inquiries, and you'd like to auto-generate a response or classify the sentiment. You can: Use AttributeCreator to build a dynamic prompt string. Pass that prompt to OpenAIConnector. Capture the model's response as a new

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GUIDValidator

FME Hub user olavny just uploaded a new transformer to the FME Hub. Tests if GUID is valid Would you like to know more? Click here to find out more details!

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FileCustomMetadata

FME Hub user davekazemi just uploaded a new transformer to the FME Hub. File Custom Metadata Manager Transformer Description This transformer allows you to manage custom metadata for files through three primary operations: Set - Add or update metadata (either all metadata or a specific key-value pair) Get - Retrieve metadata (either all metadata or a specific key) Remove - Delete all custom metadata from a file The transformer leverages Python to manipulate file streams with alternate data streams (ADS) in Windows file systems, storing metadata in a structured JSON format. Use Cases 1. Data Lineage Tracking Track data processing history by attaching metadata about transformations applied, processing dates, or source information to files without modifying their original content. 2. Workflow Configuration Management Store configuration parameters as metadata directly with the data files, allowing workflows to read these settings during execution rather than hard-coding them. 3. Complianc

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GeoApps Dataset Creator

FME Hub user wghmapgear just uploaded a new transformer to the FME Hub. GeoApps Dataset Creator With this transformer, you can easily create a new dataset within GeoApps and add the records in it. This connection is for example useful for automated data upload from external systems or automation of repeated configurations. Prerequisites To use this transformer, you need to have an active GeoApps subscription and a user account with enough permissions to run the jobs. In addition, you need to first set up a web connection to GeoApps from FME. You can find the web connection in the FME Hub at https://hub.safe.com/publishers/mapgear/web-connections/geoapps. How to use? Add the transformer in your workspace, and configure the parameters. You need to set up two parameters: the tenant name, and the web connection to GeoApps. Questions? Do you need any help? Feel free to contact us at support@geoapps.nl. Would you like to know more? Click here to find out more details!

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GeoApps Dataset Insert

FME Hub user wghmapgear just uploaded a new transformer to the FME Hub. GeoApps Dataset Creator With this transformer, you can easily create a new dataset within GeoApps and add the records in it. This connection is for example useful for automated data upload from external systems or automation of repeated configurations. Prerequisites To use this transformer, you need to have an active GeoApps subscription and a user account with enough permissions to run the jobs. In addition, you need to first set up a web connection to GeoApps from FME. You can find the web connection in the FME Hub at https://hub.safe.com/publishers/mapgear/web-connections/geoapps. How to use? Add the transformer in your workspace, and configure the parameters. You need to set up two parameters: the tenant name, and the web connection to GeoApps. Questions? Do you need any help? Feel free to contact us at support@geoapps.nl. Would you like to know more? Click here to find out more details!

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asked in FME Hub Alerts
GeoApps Version

FME Hub user wghmapgear just uploaded a new transformer to the FME Hub. GeoApps Version With this transformer, you can easily request the version of GeoApps. This connection is useful for verification of your connection. Prerequisites To use this transformer, you need to have an active GeoApps subscription and a user account with enough permissions to run the jobs. In addition, you need to first set up a web connection to GeoApps from FME. You can find the web connection in the FME Hub at https://hub.safe.com/publishers/mapgear/web-connections/geoapps. How to use? Add the transformer in your workspace, and configure the parameters. You need to set up two parameters: the tenant name, and the web connection to GeoApps. After setting up, you receive three output parameters: major, minor and patch version level. Questions? Do you need any help? Feel free to contact us at support@geoapps.nl. Would you like to know more? Click here to find out more details!

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asked in Blog Alerts
FME Around the World: Tackling data challenges in the Americas

Blogger Irene Munoz just posted a new article to the FME Blog. Title: FME Around the World: Tackling data challenges in the Americas Summary: Discover how FME partners across Europe are solving real-world challenges, from expanding rural broadband to streamlining operations at major events. Introduction: From city planning to environmental protection, organizations across the Americas rely on FME to tackle real-world challenges and enhance their operations. Whether automating workflows, improving data accessibility, or streamlining processes, FME transforms complex problems into actionable solutions. Would you like to know more? Click here to read this new article!

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The Peak of Data & AI 2025 Full Agenda Release

Blogger Sam Harper just posted a new article to the FME Blog. Title: The Peak of Data & AI 2025 Full Agenda Release Summary: We are pleased to announce the full agenda release for our 2025 Peak of Data & AI conference, packed with expert-led sessions, workshops and keynote speeches! Introduction: Safe Software’s Peak of Data & AI (The Peak) conference is just around the corner, and we are delighted to release the full agenda of breakout talks and keynote plenary sessions taking place at the Hyatt Regency Hotel in Seattle, Washington between May 6-8, 2025! Would you like to know more? Click here to read this new article!

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asked in GIS-StackExchange Alerts
Is there a way in FME to connect close geometries (preferably lines to polygons) without altering the original location?

GIS (StackExchange) user roundball2 just made a new post with the tags: fme-form, cad, fme-transformer. Would you like to know more? Click here to find out more details! StackExchange content licensed as: CC BY-SA 4.0

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asked in FME Hub Alerts
KLIC Transformer

FME Hub user vosgeo-analyses just uploaded a new transformer to the FME Hub. KLIC Transformer (version 1)By: Vos Geo-analyses (Roelof Vos) This transformer reads a previously downloaded KLIC file. The KLIC is downloaded from Kadaster.nl and shows all cables and pipelines in the specified area.The goal of this transformer is to read the .xml file, connect and expose all relevant data to each geometry and write it with a pre-defined style to a GeoPackage, or provide it to the end user as a raw output.Input Use a Creator with one creation instance to kick off the transformer.The KLIC file can be zipped or unzipped. The transformer can also process unzipped files within the same folder. KLIC files must begin with the name "Levering_". User parameters The KLIC transformer works with three user parameters: 1. KLIC_FOLDER: specify where you saved your KLIC downloads on your computer. From here the transformer will load all data with a Directory and File Pathnames reader. 2. Destination_writer

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ProcessCounter

FME Hub user davekazemi just uploaded a new transformer to the FME Hub. Overview The Process Monitor is a custom FME transformer that monitors running processes on your system, waiting until processes matching a specific name reach a defined threshold or until a timeout occurs. Designed primarily for coordinating asynchronous workflows, it allows you to ensure prerequisite tasks have completed before continuing execution. This transformer is particularly valuable when using WorkspaceRunner with asynchronous execution enabled, as it can pause the workflow until all child processes have completed. The transformer provides visual and audible notifications upon completion and logs monitoring status to the FME log. Key features include configurable process name targeting, adjustable checking intervals, timeout protection, and automated notifications. It's an essential tool for managing complex parallel processing workflows and ensuring proper sequence of operations in resource-intensive FME

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asked in Blog Alerts
10 Things to do in Seattle During Peak of Data & AI

Blogger Sam Harper just posted a new article to the FME Blog. Title: 10 Things to do in Seattle During Peak of Data & AI Summary: If you are joining us for our 2025 Peak of Data & AI conference in Seattle, here are 10 things to do outside the convention in this wonderful city! Introduction: With our 2025 Peak of Data & AI conference just around the corner, here at Safe Software, we are excited to welcome FME customers, partners and data integration enthusiasts from across the globe to the Hyatt Regency Hotel in Seattle, Washington for an action-packed week of networking, expert-led sessions, and inspiring keynote talks from innovative leaders. Would you like to know more? Click here to read this new article!

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asked in FME Hub Alerts
MeasureExpressionEvaluator

FME Hub user daveatsafe just uploaded a new transformer to the FME Hub. Evaluates expressions on measure values, including algebraic operations and conditional statements. Supports linear geometries only: Lines Arcs Paths Clothoids Features with aggregate or non-linear geometry will be output through the <Rejected> port. Typical Uses Scaling measure values Offsetting measure values Creating new measures from mathematical operations on one or more existing measures Operation The transformer works almost the same as the ExpressionEvaluator, but allows the user to include existing measure names in the expressions, enclosed in square brackets. All operations supported in the ExpressionEvaluator are also supported by the MeasureExpressionEvaluator Would you like to know more? Click here to find out more details!

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asked in GIS-StackExchange Alerts
How to create an entire building from 3D roof data

GIS (StackExchange) user Geographic Net Box just made a new post with the tags: qgis, fme-form, cesium, 3d-model, 3d-tiles. Would you like to know more? Click here to find out more details! StackExchange content licensed as: CC BY-SA 4.0

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Why FME is the best tool for parcel data: 4 examples that prove it

Blogger François Laganière just posted a new article to the FME Blog. Title: Why FME is the best tool for parcel data: 4 examples that prove it Summary: Managing parcel data is complex, requiring system integration, accuracy, automation, and collaboration. FME simplifies these challenges, improving efficiency and decision-making. Introduction: Would you like to know more? Click here to read this new article!

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asked in FME Hub Alerts
MeasureExpresssionEvaluator

FME Hub user daveatsafe just uploaded a new transformer to the FME Hub. Evaluates expressions on measure values, including algebraic operations and conditional statements. Typical Uses Scaling measure values Offsetting measure values Creating new measures from mathematical operations on one or more existing measures Operation The transformer works almost the same as the ExpressionEvaluator, but allows the user to include existing measure names in the expressions, enclosed in square brackets. All operations supported in the ExpressionEvaluator are also supported by the MeasureExpressionEvaluator Would you like to know more? Click here to find out more details!

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SumAttributes

FME Hub user marco.lor just uploaded a new transformer to the FME Hub. This transformer create a new attribute SumTot with the sum of the selected attributes. Would you like to know more? Click here to find out more details!

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SumSelectedAttributes_2

FME Hub user marco.lor just uploaded a new transformer to the FME Hub. SumSelectedAttributes Creates a new attribute which sum the previously selected attributes Would you like to know more? Click here to find out more details!

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SumSelectedAttributes

FME Hub user marco.lor just uploaded a new transformer to the FME Hub. SumSelectedAttributes Creates a new attribute which sum the previously selected attributes Would you like to know more? Click here to find out more details!

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AdvanceGrouper

FME Hub user davekazemi just uploaded a new transformer to the FME Hub. AdvanceGrouper Transformer Overview The AdvanceGrouper transformer is an enhanced version of the traditional Grouper transformer in FME, offering improved performance and additional functionality for feature grouping and sampling. This transformer provides flexible methods to group and sample features based on different criteria. Performance Improvements Significantly reduced processing time compared to the standard Grouper Optimized memory usage (peak memory usage: ~1.4MB for 150,000 features) Efficient handling of large feature sets Usage Notes Supports processing of large feature sets (tested with 150,000+ features) Maintains feature order during processing Compatible with existing FME workflows Provides visual feedback through the feature cache icons Would you like to know more? Click here to find out more details!

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CGWriter

FME Hub user uvmsci just uploaded a new transformer to the FME Hub. This custom transformer writes CityGRID model with linked units/terrains/images. Would you like to know more? Click here to find out more details!

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CGReader

FME Hub user uvmsci just uploaded a new transformer to the FME Hub. This custom transformer reads CityGRID data (xml or ini). All element and unit attributes are merged to geometries. Would you like to know more? Click here to find out more details!

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