FME

Ciaran Kirk

From GIS to Analytics: A Spotlight Interview with Ciaran Kirk, Operations Director

From GIS to Analytics: A Spotlight Interview with Ciaran Kirk, Operations Director

Can you describe your role at IMGS & DataBuilders and what a typical day looks for you?

My normal day, since our move in IMGS to a 4 day remote working arrangement, is balancing meetings & customer calls with dog walking and school runs!

I have found since then, that the working day has completely changed with pretty much meetings from morning until evening. This means the day goes fast and is always interesting (even if it is a little hectic sometimes).

As Operations Director my focus is on designing solutions for our customers and ensuring these solutions are successful from implementation through to support (in some cases working with customers for more years than I care to count).

In the last 5 years my focus has moved to supporting the vision of our Delivery Director Aoibhinn, for data driven solutions, which has led to the creation of DataBuilders. While still keeping my hand in GIS, my main focus is working with new DataBuilders customers using FME and Sisense.

To ensure customer success I spend a lot of time training our customers on these solutions which I really enjoy. In particular I have enjoyed running our accelerator program with FME which has been a huge success with the biggest training audiences I have ever seen.

We have also been delighted to be selected by Sisense, as a trusted onboarding partner, to support the implementation of Sisense solutions which I have really enjoyed leading.

How has your role evolved since you first joined?

In my 20 plus years I have had a few different titles but my role has always been focused on ensuring our customers get value from their investments in our partner solutions.

As a company we have always partnered with world class technology partners starting with Intergraph (now Hexagon) and Safe Software (FME) to bring these global solutions to customers on this island.

But in the past number of years, DataBuilders in partnership with Sisense, has expanded outside of Ireland working on analytics projects across the UK, Europe, India, USA, which has been great fun (even if it has forced me to slow down my Dundalk accent when speaking).

I have really enjoyed the move into analytics and also working with customers in completely different domains. With Sisense I onboard organisations who want to embed analytics into their software products. I am constantly surprised by the innovation and the varying product solutions we work with.

But all these customers do share a common drive, to increase analytics adoption in their software products (and hence with their customers). What we are seeing now is that using analytics isn’t just an added value, and organisations that don’t provide analytics are being left behind (Aoibhinn’s vision was right)!

Is there a project that you are especially proud of and what was your role in it?

There have been so many projects that I am proud of in IMGS. In a lot of cases, the projects we worked on were the first of their kind such as building a Fibre to the Home GIS in Siro and creating public portals with Dublin City Council.  What I am really proud of is how long these solutions have lasted and continue to deliver.

How would you describe the company culture in a few words?

I think our culture is light hearted and fun but with a strong work ethic and a drive to help each other.

What do you enjoy most about working with the team?

I always enjoy coming to work and I have great fun with my colleagues especially with our Commercial Director Garrett who gets my humour and doesn’t get offended with my constant constructive advice / insults!

While I don’t the miss the commute every day to the office, I do miss the fun in the office and I do worry for the future society, as younger people may miss out by always working from home.

In IMGS we strive to have regular meetups and some really good nights out and I think that’s very important.

What's something people might be surprised to learn about you?

I am a big fan of Western Films and love nothing more than watching a John Wayne Western – particularly the John Ford directed films.

For those looking for a quick fix of a simpler time in film – start with Ford Apache featuring a very young Wayne and Henry Fonda.

What's your favourite way to unwind after work?

I spend a lot of time walking the country roads where I live, usually with our dog, listening to sport podcasts. Its interesting now that I spend more time listening to people talk about sport than actually watching sport.

With 2 teenage kids it’s hard to find the time, but I do love watching rugby and attend Leinster and Ireland matches when I can.

What's one piece of advice you'd give your younger self?

Make sure to buy a few shares in that online book company and I would say enjoy every day because time goes so fast.

I joined IMGS in 2002 and have seen such changes in that time but it still feels like it was yesterday which probably is a good complaint as I have enjoyed it so much.

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Peak 2025

IMGS at the Safe Software Peak of Data Integration Conference

IMGS & DataBuilders at the Safe Software
Peak of Data Integration and AI Conference

Earlier this month, our team including Andrew Paul and Robyn Dennehy had the fantastic opportunity to attend the Safe Software Peak of Data Integration and AI Conference in Seattle, Washington.

With jam-packed sessions, global insights and powerful demonstrations, it was an energising experience for both, with each bringing back unique learnings and inspirations to share. 

Safe Software Peak of Data Integration

Both Andrew and Robyn delivered excellent presentations, highlighting the FME projects that they worked on the past few months.  Andrew gave a presentation on “Land and Property Management with FME”, while Robyn presented “Automating the Placement of Medical Interns”.

We asked the team to report their key highlights from the event under each of the following headings.

Favourite New Feature:

Robyn: It is tricky to pick just one new feature as a favourite and there’s a lot of overlap here with ideas/features our customers would love.

Data virtualisation is being widely marketed ahead of its release with 2025.1, and with good reason. Organisations will be able to build secure REST APIs through FME’s no-code interface. It will be incredibly powerful for functions such as enabling real time access to data sources/filtered data views and secure AI platform integration.

I was also excited to see that one click HTTPS configuration will be coming on stream shortly. At present, administrators carry out several different steps depending on the certificate type to enable HTTPS on their FME Flow instance. This takes place after FME Flow is installed. This one click solution, available from 2025.1, will allow administrators to configure HTTPS, with one click, during installation of FME Flow on their server. Distributed installations will also benefit from an improved configuration process.

1 Click HTTPS Configuration
Built In Learning Presentation

Andrew: The most exciting new development in FME 2025 for me was the introduction of Data Virtualisation capabilities in FME Flow. This was announced in the keynote session as it is such a game changer for Safe Software.

What it means in simple terms is that FME Flow can now expose the results of a workspace as a virtual API or live service, allowing other systems or users to query the data on demand. This is a major shift from FME’s traditional extract-transform-load (ETL) model. FME Flow becomes not just a processing engine, but a live data service provider.

This means you can dynamically create and deliver interactive charts, maps, or dashboards in a visual format without needing to build separate front-end systems. This is part of the 2025 beta release, and I am looking forward to testing the capabilities of this feature on FME Flow.

Favourite Presentation (and why):

Robyn: One Map to Rule Them All: Improving Infrastructure Planning and Resilience in New Zealand (Angus Bargh – Founder of Open Plan, Keith Hastings – Geospatial Developer with Jacobs).

This presentation shared details around the creation and function of the National Forward Works Viewer (NFWV) in New Zealand. It is a single authoritative source of upcoming infrastructure projects which can be used by organisations and the public to determine upcoming work to be carried out locally on utility/road networks. Communities had previously found it difficult to coordinate these projects which then impacted road users, businesses and communities, while also increasing carbon emissions and affecting the local economy. Digital Built Aotearoa (a not-for-profit foundation) utilises the FME platform to ingest, aggregate and map these projects into a spatial Viewer which provides visibility of these projects to end users. This type of visibility has many benefits including enabling clash and opportunity detection, reduction in disruption, avoiding costly rework and improving asset longevity.

The presentation stood out to me because the foundation of the NFWV came from a missing piece in rebuilding communities after an earthquake hit a region of the country. There wasn’t a single source location for data that could be shared with agencies to plan the reconnection of utility/road networks. The spatial viewer was created by DBA for local authorities in that area at the time of the rebuild. It was instrumental in providing a coordinated effort in the region. However, the platform has grown now with more and more local authorities across New Zealand signing up and submitting forward planning data. The NFWS symbolises a mindset shift when it comes to data, that collaboration rather than silos can have such a positive impact. This viewer is becoming instrumental in day-to-day planning for local authorities across New Zealand. I believe it has the potential to be utilised for collaboration across more than just forward planning data as the platform continues to gain popularity.

Andrew: The presentation that left the greatest impact on me was delivered by Jesse Hamlin from The HALO Trust, showcasing their incredible use of FME in humanitarian demining efforts. HALO’s mission is to rid the world of landmines and explosive remnants of war. Jesse gave us practical examples of how FME is helping them collect, clean, and analyse data across some of the most dangerous regions. 

What stood out was how FME empowers their field teams to process spatial data from legacy systems and GPS devices, allowing them to map hazardous areas more accurately and make faster, safer decisions. It was a powerful reminder of how geospatial technology, and FME in particular, can truly make a difference not just in business workflows, but in saving lives.

Something New You Learned:

Robyn: When attending the Building Data Products Powered by FME presentation by Gavin Jeter (Locus), I learned about how Build Farms can be used with FME to carry out processing heavy workflows in much faster timeframes. As an FME user from a GIS background, I am still learning about the optimisation of FME workflows on infrastructure in different customer’s environments. Hearing about how Build Farms took years of processing time down to hours for Gavin, had me jotting it down to remember to look into it in more detail. More and more organisations are having to handle larger quantities of data and depending on the organisation’s capacity, a solution including Build Farms could be vital in processing large amounts of data.

Andrew: While I’ve worked with remote sensing data throughout my career classifying objects in satellite and aerial multispectral imagery, I didn’t realise just how powerful the AI integration has become in FME for image analysis.

Safe software demonstrated this at the conference by showing us the ability to upload an image into a workspace of a worker about to enter a factory site and using the HTTP caller were able to pass the image to an AI tool to detect if the employee had the correct PPE to be allowed to work on the site. The PPE was then outputted as 3 vector rectangles which were attributed with the type of PPE e.g. hard hat, goggles, gloves…etc. This then allows the end users to develop a workflow to produce a report to state if the worker has passed the requirements to enter the site.

This is incredibly powerful and can be rolled out to large sites with 1000s workers and will allow employers to monitor compliance. This is incredibly advanced image classification that I couldn’t have imagined with traditional remote sensing techniques that can be adapted for use in many different workflows – including traditional remote sensing!

Top Tip or Idea Our Customers Would Love:

Robyn:  FME Form end users will be able to connect directly to knowledge base articles and FME Academy from within their own workbench. While it may seem like something small, this integration between the two makes it easier to troubleshoot, learn best practices and helps empower FME users in an organisation when authoring and building processes. AI Assist in FME Form will also provide context aware responses when working with transformers and parameters. I think this new feature will be really nice functionality to have for new and seasoned FME users alike.

Andrew: One of the most impactful new features for our customers in FME 2025 is going to be the PDF Styler and update to the PDF Writer. It allows you to create fully designed, multi-page PDF reports from your data, all within FME for the first time ever.

I know many of our customers use FME for reporting property summaries, asset reports or planning notices already and sometimes output these in HTML, Word and Excel formats but would love to be able to produce PDFs that have corporate logos, styling and can display charts, maps and all the information they require from their data. The update of the writer and introduction of the styler tool means all this can be done within FME. I know our customers are going to love this and it is already available on FME Form 2025 to implement into workflows now.

In Summary:

The Safe Software FME Conference reminded the team just how innovative and collaborative the FME community is. Whether you’re a seasoned user or just getting started, the possibilities continue to expand, and the team are excited to bring these learnings back to our customers and partners.

Peak 2025

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FME 2022.1

FME 2022.1 New Features

The eagerly awaited FME 2022.1 release is now available for download from Safe Software.  FME 2022.1 makes new things possible with more speed and simplicity to help your organisation make effective data-driven decisions. So dive in and see what’s new!

Enhance Collaboration And Communication

Visually Compare And Merge Workspaces

This exciting new feature allows users to collaborate with team members and maintain workspace updates in a simple and intuitive interface. Now, you can compare two workspaces side-by-side to see the changes that were made and instantly merge changes together. Easily manage and review your work in a secure and reliable environment, without leaving Workbench. And the best part?  No coding required.

Identify Runtime User

Safe Software have made it easy for admins and authors to see who accessed and ran an authenticated Workspace App in the Jobs history page. Gain visibility into user data to troubleshoot or send timely communications to the right people.

Improve Data Quality

Achieve high data quality and reduce storage cost with dynamic control of large datasets in your enterprise systems. Take the guesswork out of the process and produce best-fit data outputs at runtime with SchemaScanner, helping you manage active metadata and detect schema drift.

The enhanced EsriReprojector transformer now supports vertical and time-dependent coordinate systems. Make time-dependent transformations and position your data within an epoch.

FME 2022.1 Improve Data Quality

Ultimate Time Savings

FME 2022.1 Ultimate Time Savings

FME 2022 continues to drive speed to insight to help you advance your spatial analysis and unlock new opportunities. We’ve fine-tuned the inner workings of FME to help you tackle datasets of any size, enabling you to make data-driven decisions and achieve business results faster and easier than ever before.

You can now update records in one call with UPSERT* when writing to a database, helping reduce workflow complexity, increase efficiency, and improve data integrity.

Flexible Automation At Scale

Allocate resources where you need them the most. With the addition of Server Analytics, you’ll gain increased control over engine assignments to help you optimize future workloads. See historical data of running jobs at various time intervals and uncover trends that allow you to know when and where to add additional data processing resources.

FME 2022.1 Flexible Automation at Scale

Increased Organisational Security

With FME 2022.1, Safe Software have introduced the ability to centralise user authentication with SAML 2.0. Integrate FME Server with your existing identity providers and manage credentials through one centralised system.

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Safe Software Summit 2019

By Garrett Cronin, Senior Account Manager IMGS

I was fortunate enough to be able to travel to this year’s Safe Software Partner Summit in Vancouver. The annual Safe Software Partner Summit is the largest meeting of Safe Software staff and partners from around the world. As per previous years, it was hosted in the beautiful Convention Centre in Downtown Vancouver. The venue boasts breath-taking views of the bay and is flanked by highrise buildings.

SafeSoftwareSummitVancouverBayimage

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Time Saving Tips with FME Part 2

IMGS logo 300 px JPGBasic CMYK

Author: Ciara Beddy, IMGS Senior GIS Engineer


Welcome to part two of Time Saving Tips in FME!

Using FME daily means you pick up on tips and tricks to make your daily tasks run quickly, smoothly and generally just make your FME life a bit easier. This blog is a follow up to last month’s time savings tips part 1.

Tips for Inspecting data

Inspecting your data is a key part of any workspace you develop, with every change you make its good practice to check your output. So it stands to reason FME has a number of tools available to you, all you need to do is use them.

Run with Full Inspection

Do you ever run your workspace, wait for it to finish only to find it’s taken a wrong turn somewhere? Now you need to find out where things went amiss, run with full inspection is the solution for you. This setting will cache the data at each transformer link. Each cache can then be shown in the Data inspector by right clicking on the count.

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This feature is great for debugging, no need to keep adding inspectors to source the issue, but don’t forget to turn off this functionality when you are done as it slows down performance and takes longer to run than a normal translation.

Redirect to Inspection Application

12When you are still in a testing phase then use “Redirect to Inspection Application”. This means you don’t alter your destination dataset and your output goes directly to the Inspector. You can run your process as many times as you want until you get it just right, the data is never written until you turn off this option. Especially important when you are making edit within a database and you only have one chance to get it right.

One Click Insect

Your readers and writers now allow you to inspect your data with ease, right click on any Reader/Writer to use the inspection button or open containing folder. No excuses for not examining your output it’s easy!

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Terminator Redirect

The terminator transformer stops a translation when it detects non-valid situations or input data conditions that should not exist.

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Image Courtesy of www.shocktillyoudrop.com

This is to stop the output of data which may impact your results, for example you could filter the data’s geometry and terminate if you find points in a dataset you expected to be linear. When a feature enters this transformer, the translation immediately stops and an error message displays to notify you that the data conditions are not expected.

To redirect the Terminator data to an Inspector instead of stopping the translation, you can set this option in the Workspace Properties in the Navigator. This allows you to view the unexpected data during development of your workspace and then you can switch off and reverts back to terminating the translation when expected conditions are met.

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Background maps

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Once you are inspecting the data its quite useful to compare to a background map, don’t forget the Data Inspector now provides this functionality under Tools>Options>background maps.

You have a number of options ranging from open source mapping like open street map to the ability to connect to your own AGOL Map Service or Web Map Service. But remember your data will be reprojected to display in the coordinate system of the background map. So don’t get confused like I do….everytime! The actual coordinate system is always specified within the feature information.

Connecting Data

Sometimes you can add a file with many layers like a .dgn or Geodatabase. Nothing gives you a bigger headache than having to reconnect all those layers to your writers, particularly when they are located the far side of the canvas. The Feature Type Connections window, found under View > Windows allows you to connect readers to writers with ease. I don’t use it often but when the need occurs it’s a great time saver.

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Data Testing

The most popular transformer the Tester is much more than what it seems. You should have noticed by now it has received an update in the last few releases. If not, then pay attention as this can be a huge time saver when performing data quality checks. There are now Operators to filter data on such as Attribute is Null or Empty. New to 2016 is the operator “Attribute has a value”. This means that without knowing all the possibilities of how the attribute could not have a value we only need to check if it contains a value in order to extract all those missing records.

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FME Options

Finally don’t forget you always have options! It’s important to customize your workspaces to your own needs so take 2 minutes to check out your options under the Tools Menu > FME Options. Here you can create a toolbar to your own specifications.

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As well as control how your workbench functions, default paths, database connections and how your translation is run. There are plenty of choices here so they are worth reviewing.

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Thanks for reading! Keep an eye here for next month’s blog.

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Time Saving Tips with FME Part 1

Time Saving Tips with FME
Part 1

Basic CMYK

Author: Ciara Beddy, IMGS Senior GIS Engineer


Welcome to part one of Time Saving Tips in FME!

Using FME daily means you pick up on tips and tricks to make your daily tasks run quickly, smoothly and generally just make your FME life a bit easier. This blog has been a long time coming, for the last year I have diligently kept note of some of the tools I use in Desktop that save time and because it’s nice to share I am departing these tips to you.

FME Functions

Functions may seem complex as they allow you to delve into the heart of FME’s core and fly solo so to speak. Using them means you are now stepping out on your own and calling functions that are in use in many of the transformers and that seems a bit daunting.

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But this really is a smart move on your behalf, by using Feature Functions you can build processing directly into your attribute creation and save yourself the effort of placing multiple transformers. Really you can do A LOT with the text editor in FME, use it to build your queries and send them directly to the engine yourself instead of relying on transformers. When you use FME Functions as part of your attribute manager or attribute creator each resulting value is output as an attribute.

For example, @Area function calculates the area of a polygonal feature eliminating the need for the AreaCalculator. The @Count provides a mechanism for generating unique numbers for features during a translation eliminating the Counter. @Timestamp returns the current time and date, so you guessed it no need for a Timestamper.

Here are some of the common FME Functions I use in my workspaces, why don’t you try them out next time and see how simple it is to develop your own results without the use of multiple transformers.

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Also for those experienced FME users out there did you know you can copy and paste a transformer into an open Text Editor and review the content, this allows you to see what really is at work inside the transformers you use.

Templates

4The ability to save workspaces as templates was added in 2011 though it still isn’t as widely used as I would like! A template is basically a saved workspace, with the inclusion of the data required to run. Using a template means you can bundle everything together and provide to another user….very handy for sharing workspaces with your colleagues.

These templates are given the extension .fmwt, using the template is very simple just open it in Workbench. If data was included in the template file then it will be extracted, stored to a temporary location and the workspace paths updated automatically making it ready to just hit run.

There are many possibilities with templates, they can be great to give out to other FME users as predefined translations. Or when looking for support from the team at IMGS if you provide us with a template you will certainly rise of the top of our to-do list and receive quicker solutions!

While on the subject of templates, if you are reading data from a database and the end user of the template does not have access to this data source then it’s time to introduce a recorder transformer.

The recorder is a nifty little transformer that saves a copy of all the features that enter it and writes into a FME Feature Store file. It’s really simple to use;

  • In your workspace identify the data you want to export.
  • Add a Recorder transformer
  • Connect the Reader feature types you need to export to the Recorder transformer
  • Run your workspace and the data is stored to the FFS file at your specified location

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Now you can send a copy of your workspace and the FFS file. The end user can then add a Player transformer to your workspace and play back your recording – as if they were reading directly from your database. Everyone wins!

The Fanout

Most people probably know everything they need to know about the data fanout, it has been around a long time. But when it comes to listing features that save you time and effort I have to include the fanout. This is a way you can split your output data into separate layers/files based upon an attribute value.

It’s easy to set, just go to the writer properties right click and pick an attribute value. So your data output will be divided on the fly as it writes to your destination.

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For example, I want to create a set of contours from my LIDAR dataset. But I want to have a separate output file for every elevation. If I set the output to fanout by the value of the elevation my results will be quite different.

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Instead of one file containing all contours your destination output will now contain multiple files one for each elevation level.

Shortcuts

People always say there are no shortcuts in life, well that’s not quite true. Here are some custom keyboard shortcuts which I promise will make your life easier, no risk involved!

SaveCtrl+s
Add New BookmarkCtrl+b
Zoom InCtrl++
Zoom OutCtrl+-
Zoom to 100%Ctrl+0
Add ReaderCtrl+Alt+r
Add WriterCtrl+Alt+w
Run WorkspaceF5
Search WorkspaceF3

Another one of my favourites is the quick change from zoom in to select. Try it yourself, Zoom in and right click this will resets the cursor back to the select function. It’s the simple things in life.

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Stay tuned for the follow up part two blog of Time Saving Tips in FME which will be published next month.

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FME Transformers-Five Unsung Heroes

FME Transformers - 5 Unsung Heroes

Basic CMYK

Author: Ciara Beddy, IMGS Senior GIS Engineer


For a new user looking at FME’s hundreds of available transformers, many with some interesting and unusual names, locating the transformer you need to get the job done can often feel like a difficult or daunting task.As an FME professional and Trainer I often get told in panic “I don’t think I will know what Transformer to use, there are so many!!” and that is true. In reality you can still be a proficient user of FME without knowing the ins and outs of every single Transformer. That is, if you arm yourself with the most useful ones!

Transformer knowledge comes down to experience. The more workspaces you create and projects you complete the larger your catalogue of Transformers becomes. To get new users started I would like to share with you a list of some of the unsung heroes of the transformer world, these are some of the tools I really couldn’t live without.

Reprojector

I am most often asked about how to quickly move spatial data between different coordinate systems. The answer is very simple, use the Reprojector. FME’s coordinate reprojection capabilities solve the common requirement to reproject data accurately and seamlessly. All you are required to do is place the transformer somewhere within your workflow.

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This transformer works on both raster and vector data, It provides the option to reproject data with a library of over 5000 coordinate reference systems. This gives you the ability to reproject data with the click of a button eliminating all those coordinate system headaches you face as a spatial data user.

Clipper

The Clipper is an excellent transformer for creating datasets that are relevant to your needs. Often users have national datasets containing more data than they actually require. The Clipper takes a number of clip boundaries and the number of features to be clipped and splits the data into features inside the boundary and features outside the boundary.

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As the output is split into these two possible groups the Clipper allows you to keep the data relevant to your needs while disregarding the data that falls outside your defined boundaries. It is a great way of cleansing your datasets to only contain the data you will use, meaning any further analysis on these datasets are correct and more meaningful to your area of interest.

 

 Counter

If you ever come across the need to provide a unique ID to the data running through your workspace than the Counter is the most simple way to achieve this. This transformer adds a numeric attribute to your features by assigning each feature an incremented value as it counts the features passing through.

5You can also specify if this counter sequence is unique throughout the whole workspace by using the same sequence on multiple counter transformers or using a unique sequence to that single counter. This transformer means you can create unique values without using any complex expressions, calculators or calling database sequences.

Duplicate Remover

Another key quality control task it to check your data for duplicates, sometimes no matter how ‘perfect’ you think your data is, an unwanted duplicate can creep in during a processing task. FME gives you the ability to ensure that your data is clean by eliminating all those duplicate objects so only one remains. The answer comes in the form of the appropriately name DuplicateRemover. This transformer allows you to select one or multiple key attribute values that you require to be unique. Any key attribute value that has already been encountered in the DuplicateRemover is sent to a separate port labelled as a duplicate.

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Allowing you to maintain the data stream coming from the unique port, giving you confidence in the quality of your output data.

LabelPointReplacer

Lastly, users are often tasked with the requirement to provide labels with their output data. There are a number of options in FME for labelling the most basic being the LabelPointReplacer. This transformer enables you to quickly configure labels and rules that will dictate how labels appear.

This transformer replaces the geometry of the coming feature with a label point while also giving you a number of options to define the label value.

If the feature was already a point, it is turned into a text feature at that location.

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  • If the feature was a line, it is turned into a point text feature at the midpoint of the line and rotated parallel to the line.
  • If the feature was an area feature, the resulting point is placed in the interior of the feature.

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The LabelPointReplacer removes the hassle of creating labels for your spatial data and should be your first stop when tackling label requirements.

These are some of the key transformers I regularly use when tackling data problems. Hopefully it will give new users a head start on which of the transformers they may want to try out in the future. But don’t forget if you are ever in doubt or lost on what is the transformer for the job;

  • Use the associated Help File– Every transformer you select will link to the help file which pops up in the help tab in your workspace. If you are unsure of how to use a certain transformer the help file gives you detailed information on the use of the transformer and how to configure the parameters, input and output ports.

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  • Use the Transformer search functionality in the Transformer Gallery to pinpoint your possible transformer options. This searches in both Transformer name and description so your search term may be the exact name of a transformer, or it may be a general keyword referring to functionality.

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  • If all else fails then just try it out, trial and error can often be the best option in understanding exactly how each transformer effects your data. Don’t worry you won’t do any damage to your dataset and can run your workspace as many times as you wish. Just connect an inspector transformer to the end of your workflow instead of connecting it to the writer and you can keep testing until you get it right!

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Also help is always at hand just contact us at support@imgs.ie for FME related queries we are happy to point you in the right direction when you are lost in a maze of Transformer options.

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