Community Alerts

FME Hub user jakethepainter just uploaded a new template to the FME Hub.Sample of a workspace that uses HttpCaller to read AGOL attachments selectivelyWould you like to know more? Click here to find out more details!

FME Hub user mouheeb just uploaded a new transformer to the FME Hub.The "Arabic-to-English Speller" is a custom FME transformer that converts Arabic words to their English spellings. It takes an input attribute called "Arabic_Word" and generates an output attribute called "Spelled_Word" with the corresponding English spelling.Example:Input Attribute: Arabic_Word = "مرحبا"Output Attribute: Spelled_Word = "marhaba"The "Arabic-to-English Speller" simplifies the process of converting Arabic text to English spellings, making it useful for data integration, validation, and geospatial tasks.Would you like to know more? Click here to find out more details!

FME Hub user martin_ekstrand just uploaded a new transformer to the FME Hub.Makes scheduling cache rebuilds on Map or Image services posssbile by executing a rebuild cache job on a Map service or Image service in ArcGIS Enterprise using the ArcGIS Server REST API. Then checks the job's log if the job succeeded or failed.Runs one time per feature. You can have one feature per service name and set service name to an attribute containing your service name.May also be run in a check job status only mode for making a 2 step automation possible for large jobs- first submit the caching job and then run another workspace at a later date to check how the job wentWould you like to know more? Click here to find out more details!

FME Hub user chrisatsafe just uploaded a new transformer to the FME Hub.OverviewThe AmazonBedrockConnector transformer for FME enables users to seamlessly integrate AWS Bedrock services with their spatial data transformation workflows in FME. AWS Bedrock is a managed service provided by Amazon Web Services (AWS) that simplifies the process of deploying, managing, and scaling big data applications and workflows on the cloud. By leveraging the AmazonBedrockConnector, users can efficiently transfer data between FME and AWS Bedrock, facilitating a wide range of cloud-based data processing and analysis tasks.FeaturesEasy Integration: Connect to AWS Bedrock directly from within your FME workflows, allowing for smooth data exchange between your local and cloud environments.Scalable Data Processing: Utilize AWS Bedrock's scalable infrastructure to handle large datasets and complex spatial data processing

FME Hub user sashal just uploaded a new transformer to the FME Hub.Add Linked Attachment to ArcGIS Workflow Manager JobThis transformer adds a linked attachment to Workflow Manager by using an httpCaller that posts to the ArcGIS Workflow Manager REST API. All attributes needed to populated the REST call are parameterized.Dependencies to using this transformer:ArcGIS Enterprise with ArcGIS Workflow Manager Server (version 10.9.1 or 11.x)Web Connection to ArcGIS Enterprise (how to establish FME Web Connetion to ArcGIS Enterprise Portal) User with web connection must have privileges to update Workflow ItemExisting Workflow Item in Workflow ManagerWould you like to know more? Click here to find out more details!

FME Hub user sashal just uploaded a new transformer to the FME Hub.Create a Workflow Manager Job This transformer creates a job in ArcGIS Workflow Manager. The custom transformer uses the httpCaller transformer to make a REST API call to the ArcGIS Workflow Manager REST API and outputs the job id of the job created. All attributes needed to populated the REST call are parameterized.Dependencies to using this transformer:ArcGIS Enterprise with ArcGIS Workflow Manager Server (version 10.9.1 or 11.x)Web Connection to ArcGIS Enterprise (how to establish FME Web Connetion to ArcGIS Enterprise Portal) User with web connection must have privileges to update Workflow Item Existing Workflow Item & Job Template in Workflow ManagerWould you like to know more?

FME Hub user daveatsafe just uploaded a new transformer to the FME Hub.This transformer splits multiline text into individual single line text featuresWould you like to know more? Click here to find out more details!