Managing Data Interoperability with FME
FME is a spatial ETL tool that can extract, transform, and load spatial data between hundreds of different formats. It allows users to translate data between formats, transform data models, integrate different data types, and distribute spatial data to end users. FME Desktop provides a graphical interface for defining spatial data workflows. FME can help organizations publish data to meet open data requirements by building "data bridges" between their existing data structures and target schemas like those used in spatial data infrastructures.
Data Ecosystems are today complex. Data flows through different environments: cloud systems (atmosphere), large data stores (ocean), visualization for business analysis (urban), and more. All systems are connected and part of a larger environment, paralleling the movement of data throughout organizations and our world. FME is the tested choice for tens of thousands of data pro as the data integration and connection platform with the best support for location data. This presentation take you through quickly as to how FME can help you to handle complex data eco systems.
Who is Mercator, and how did he change navigation forever? If you’ve ever had to analyze a map or GPS navigation data, chances are you’ve encountered and even worked with the world of coordinate systems. Coordinate systems are becoming more and more important now that we have historical data that is continually updating and moving through GPS systems. But, not everyone knows why we have coordinate systems, or how to deal with them in a way that will maximize the value of their data.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to transform your coordinate system data in an easy to understand way, accurately represented in the geographical space that it exists within. Our team of Support Specialists will walk you through:
- An overview of coordinate systems
- Why we need datums and projections, and units between coordinate systems
- How FME handles coordinate systems
- A brief summary of the 3 main reprojectors
- Issues with datums and why we are moving towards a time based datum
- Where we are heading with FME on coordinate systems
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
The main focus of this study is to find appropriate and stable solutions for representing the statistical data into map with some special features. This research also includes the comparison between different solutions for specific features. In this research I have found three solutions using three different technologies namely Oracle MapViewer, QGIS and AnyMap which are different solutions with different specialties. Each solution has its own specialty so we can choose any solution for representing the statistical data into maps depending on our criteria’s.
Empowering Real-Time Decision Making with Data StreamingSafe Software
In our previous Introduction to Data Stream Processing, we provided an overview of data streaming, its uses and benefits.
In this webinar, we will talk about some of the common use cases for streaming data. We will also walk you through FME’s key capabilities for supporting stream processing including our new Streams interface that makes it easier than ever to integrate streaming data for continuous, real-time processing without any coding.
Discover how FME can help you connect to and process data streams, no matter where the data is from, and empower real-time decision-making.
Data Ecosystems are today complex. Data flows through different environments: cloud systems (atmosphere), large data stores (ocean), visualization for business analysis (urban), and more. All systems are connected and part of a larger environment, paralleling the movement of data throughout organizations and our world. FME is the tested choice for tens of thousands of data pro as the data integration and connection platform with the best support for location data. This presentation take you through quickly as to how FME can help you to handle complex data eco systems.
Who is Mercator, and how did he change navigation forever? If you’ve ever had to analyze a map or GPS navigation data, chances are you’ve encountered and even worked with the world of coordinate systems. Coordinate systems are becoming more and more important now that we have historical data that is continually updating and moving through GPS systems. But, not everyone knows why we have coordinate systems, or how to deal with them in a way that will maximize the value of their data.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to transform your coordinate system data in an easy to understand way, accurately represented in the geographical space that it exists within. Our team of Support Specialists will walk you through:
- An overview of coordinate systems
- Why we need datums and projections, and units between coordinate systems
- How FME handles coordinate systems
- A brief summary of the 3 main reprojectors
- Issues with datums and why we are moving towards a time based datum
- Where we are heading with FME on coordinate systems
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
The main focus of this study is to find appropriate and stable solutions for representing the statistical data into map with some special features. This research also includes the comparison between different solutions for specific features. In this research I have found three solutions using three different technologies namely Oracle MapViewer, QGIS and AnyMap which are different solutions with different specialties. Each solution has its own specialty so we can choose any solution for representing the statistical data into maps depending on our criteria’s.
Empowering Real-Time Decision Making with Data StreamingSafe Software
In our previous Introduction to Data Stream Processing, we provided an overview of data streaming, its uses and benefits.
In this webinar, we will talk about some of the common use cases for streaming data. We will also walk you through FME’s key capabilities for supporting stream processing including our new Streams interface that makes it easier than ever to integrate streaming data for continuous, real-time processing without any coding.
Discover how FME can help you connect to and process data streams, no matter where the data is from, and empower real-time decision-making.
The Wisconsin Department of Natural Resources directly
produces the state’s Digital Flood Insurance Rate Maps
(DFIRMs) under FEMA’s Map Modernization Program. This
presentation will discuss how we use an ArcMap 9.2 extension,
Flood Map Desktop 9™ (FMD), to create FEMA-compliant
DFIRM data, metadata, and map deliverables. The FMD tool
has greatly improved our program’s work flow and efficiency.
As we demonstrate the FMD structure and FMD toolbars, we
will discuss geodatabase creation and management, topology,
domain tables, formatting style files, symbology, label creation
and storage, data exporting, and project settings which form the
base templates for our maps.
Using FME to prepare RF software output for use by the business user. Also using FME regionalization to overcome Google Earths performance limitation with respect to both volume of data and resolution of polygon data. Outputting both KMZ files as well as xls files for use by sales managers and sales associates in field sales of Wifi internet access using connected mobile device.
Database Comparison and ArcMap Data Driven PagesSafe Software
When working with databases of large sewer systems, it is important to document the changes to the database over time. Ramboll have developed a tool in FME, that not only document changes between database versions, but also generates maps of the updated objects using Data Driven Pages in ArcMap. The comparison tells which objects and attributes that have changed, keeping both the old and new attribute value. When generating the maps, the most critical attributes are labelled for a quick visual comparison. But for deeper insight of the changes, all updated attributes are saved in the comparison database.
How to Efficiently Transform Non-Spatial Data using FMESafe Software
FME supports a wide range of non-spatial data, from spreadsheets (CSV, Excel) to databases (SQL Server, Oracle) and to key applications (Salesforce, Socrata). In this webinar, discover how to easily transform non-spatial data for use, even adding a spatial component to your non-spatial data. You'll also hear how SYNCADD has been using FME to solve non-spatial challenges in a variety of situations.
Common Uses:
CAD <-> GIS
Format and Data Model Conversion
Data Migration
Data Reprojection
Data Homogenization and Integration
Quality Assurance, Validation, and Cleaning
Data Mining
Extract, Transform and Load
2013 Enterprise Track, Using Spatial ETL in a Multi-vendor Enterprise GIS Env...GIS in the Rockies
Large, infrastructure-based organizations such as utility companies often find that they need to operate with multiple GIS and CAD systems as part of their computing environments. This can create numerous challenges with data management and sharing of information within the organization. These issues can be addressed in part by the use of Spatial Extract-Transform-Load (ETL) technologies working in an enterprise environment along with a common data repository.
This presentation highlights experiences SBS has had in using Spatial ETL technologies in organizations to provide an advanced architecture for sharing spatial data. There are a number of technical considerations that must be addressed in these environments. These include:
• Support for multiple GIS platforms that all access a common data base
• A common, canonical data model that supports existing data models in the enterprise
• Cross platform conflict resolution
• A common data validation framework
• Global ID management
• A comprehensive network model to support business application requirements
• Scalability to support a very large user community
• Integration with other systems to support business workflows and advanced analytics
Improve Data Exchange in Intergraph Using FMESafe Software
Discover how to easily exchange data in an Intergraph environment (GeoMedia, I/CAD, G/Technology). You'll learn how to create a repeatable process for manipulating data before it gets to your database – whether Oracle, SQL Server, or Access. You'll also see how to efficiently convert data from legacy systems (i.e. FRAMME or G/Technology 9.x) to G/Technology 10, as well as increase GeoMedia's format reach by enabling a direct connection with FME. Find out how your organization’s databases and other GIS systems – including Esri ArcGIS – can work in harmony with your Intergraph products.
Integrated Surveying with FME Server_Ciaran Kirk - IMGS 2013IMGS
FME Server can act as a spatial hub for your organisation Can streamline survey workflows and remove the need for double entry Can integrate spatial and non spatial systems independent of format or platform
"Afin de moderniser leur IT pour de meilleures performances, une plus grande évolutivité et une meilleure gestion des coûts, nombreuses entreprises ont l’envie de migrer leur environnement Oracle vers des environnements SQL plus souples hébergés dans Azure, mais sont freinées par la perspective de temps d’interruption important, de processus complexes et de consommation de ressources. Ces évolutions de bases de données peuvent enfin se faire à chaud, sans interruption de production grâce à notre solution Double-Take Share.
Nous vous présenterons comment grâce à sa technologie de réplication cross-plateforme, cross-database flexible et performante Double-Take Share supprime les barrières entre les plateformes IT, les bases de données et les OS pour vous permettre une migration d’Oracle vers SQL automatisée et transparente. En gardant les bases de données online pendant tout le temps de la migration, Double-Take Share élimine les temps d’interruption, et ainsi simplifiera et accélérera vos projets de migration."
Data Virtualization: Introduction and Business Value (UK)Denodo
Watch full webinar here: https://bit.ly/30mHuYH
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner.
Attend this webinar to learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
- Business Value of data virtualization and customer use cases
- Highlights of the newly launched Denodo Platform 8.0
Vancouver Uses FME to Open Data to the WorldSafe Software
"Attend this session to learn how the City of Vancouver uses FME to:
• Provide data for both their Open Data and Road Ahead initiatives.
• Improve the City's Road Ahead map with more current information and open formats. (Learn how FME is being used to retrieve the source data from SQL Server and Oracle Spatial, and to generate SDF3/SDF2 files and a GeoRSS/RSS feed integrated with Google Street View, which is accessible from the Road Ahead home page. Plus, see how the Road Ahead FME workspace is also published to FME Server where the relevant data format files can be generated on the fly via data streaming services.)
• Prepare datasets for the City's OpenData website on a weekly basis. "
The Wisconsin Department of Natural Resources directly
produces the state’s Digital Flood Insurance Rate Maps
(DFIRMs) under FEMA’s Map Modernization Program. This
presentation will discuss how we use an ArcMap 9.2 extension,
Flood Map Desktop 9™ (FMD), to create FEMA-compliant
DFIRM data, metadata, and map deliverables. The FMD tool
has greatly improved our program’s work flow and efficiency.
As we demonstrate the FMD structure and FMD toolbars, we
will discuss geodatabase creation and management, topology,
domain tables, formatting style files, symbology, label creation
and storage, data exporting, and project settings which form the
base templates for our maps.
Using FME to prepare RF software output for use by the business user. Also using FME regionalization to overcome Google Earths performance limitation with respect to both volume of data and resolution of polygon data. Outputting both KMZ files as well as xls files for use by sales managers and sales associates in field sales of Wifi internet access using connected mobile device.
Database Comparison and ArcMap Data Driven PagesSafe Software
When working with databases of large sewer systems, it is important to document the changes to the database over time. Ramboll have developed a tool in FME, that not only document changes between database versions, but also generates maps of the updated objects using Data Driven Pages in ArcMap. The comparison tells which objects and attributes that have changed, keeping both the old and new attribute value. When generating the maps, the most critical attributes are labelled for a quick visual comparison. But for deeper insight of the changes, all updated attributes are saved in the comparison database.
How to Efficiently Transform Non-Spatial Data using FMESafe Software
FME supports a wide range of non-spatial data, from spreadsheets (CSV, Excel) to databases (SQL Server, Oracle) and to key applications (Salesforce, Socrata). In this webinar, discover how to easily transform non-spatial data for use, even adding a spatial component to your non-spatial data. You'll also hear how SYNCADD has been using FME to solve non-spatial challenges in a variety of situations.
Common Uses:
CAD <-> GIS
Format and Data Model Conversion
Data Migration
Data Reprojection
Data Homogenization and Integration
Quality Assurance, Validation, and Cleaning
Data Mining
Extract, Transform and Load
2013 Enterprise Track, Using Spatial ETL in a Multi-vendor Enterprise GIS Env...GIS in the Rockies
Large, infrastructure-based organizations such as utility companies often find that they need to operate with multiple GIS and CAD systems as part of their computing environments. This can create numerous challenges with data management and sharing of information within the organization. These issues can be addressed in part by the use of Spatial Extract-Transform-Load (ETL) technologies working in an enterprise environment along with a common data repository.
This presentation highlights experiences SBS has had in using Spatial ETL technologies in organizations to provide an advanced architecture for sharing spatial data. There are a number of technical considerations that must be addressed in these environments. These include:
• Support for multiple GIS platforms that all access a common data base
• A common, canonical data model that supports existing data models in the enterprise
• Cross platform conflict resolution
• A common data validation framework
• Global ID management
• A comprehensive network model to support business application requirements
• Scalability to support a very large user community
• Integration with other systems to support business workflows and advanced analytics
Improve Data Exchange in Intergraph Using FMESafe Software
Discover how to easily exchange data in an Intergraph environment (GeoMedia, I/CAD, G/Technology). You'll learn how to create a repeatable process for manipulating data before it gets to your database – whether Oracle, SQL Server, or Access. You'll also see how to efficiently convert data from legacy systems (i.e. FRAMME or G/Technology 9.x) to G/Technology 10, as well as increase GeoMedia's format reach by enabling a direct connection with FME. Find out how your organization’s databases and other GIS systems – including Esri ArcGIS – can work in harmony with your Intergraph products.
Integrated Surveying with FME Server_Ciaran Kirk - IMGS 2013IMGS
FME Server can act as a spatial hub for your organisation Can streamline survey workflows and remove the need for double entry Can integrate spatial and non spatial systems independent of format or platform
"Afin de moderniser leur IT pour de meilleures performances, une plus grande évolutivité et une meilleure gestion des coûts, nombreuses entreprises ont l’envie de migrer leur environnement Oracle vers des environnements SQL plus souples hébergés dans Azure, mais sont freinées par la perspective de temps d’interruption important, de processus complexes et de consommation de ressources. Ces évolutions de bases de données peuvent enfin se faire à chaud, sans interruption de production grâce à notre solution Double-Take Share.
Nous vous présenterons comment grâce à sa technologie de réplication cross-plateforme, cross-database flexible et performante Double-Take Share supprime les barrières entre les plateformes IT, les bases de données et les OS pour vous permettre une migration d’Oracle vers SQL automatisée et transparente. En gardant les bases de données online pendant tout le temps de la migration, Double-Take Share élimine les temps d’interruption, et ainsi simplifiera et accélérera vos projets de migration."
Data Virtualization: Introduction and Business Value (UK)Denodo
Watch full webinar here: https://bit.ly/30mHuYH
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner.
Attend this webinar to learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
- Business Value of data virtualization and customer use cases
- Highlights of the newly launched Denodo Platform 8.0
Vancouver Uses FME to Open Data to the WorldSafe Software
"Attend this session to learn how the City of Vancouver uses FME to:
• Provide data for both their Open Data and Road Ahead initiatives.
• Improve the City's Road Ahead map with more current information and open formats. (Learn how FME is being used to retrieve the source data from SQL Server and Oracle Spatial, and to generate SDF3/SDF2 files and a GeoRSS/RSS feed integrated with Google Street View, which is accessible from the Road Ahead home page. Plus, see how the Road Ahead FME workspace is also published to FME Server where the relevant data format files can be generated on the fly via data streaming services.)
• Prepare datasets for the City's OpenData website on a weekly basis. "
FME World Tour 2015 Dublin - Waterford City and County Council - Jon HawkinsIMGS
- Analysing Irish Water survey data using the Attribute Exploder and the Null Attribute Replacer
- Writing out Litter Quantity Survey data with the
new Excel Writer [2015]
- Emailing with Python Caller
- Drive Time analysis with Network Cost Calculator
and OSi Prime 2 data
- Look at the SharePoint Reader and Writer
FME World Tour 2015 - FME & LIDAR - Glen BambrickIMGS
FME 2015 has notably added functionality for working with
point clouds, there are two new formats (Caris Spatial Archive and Minecraft), and three transformers -
PointCloudStatisticsCalculator, PointCloudSorter, and
PointCloudMerger. This presentation concentrates on using
these transformers in four scenarios: Classification, Rasterization for biomass calculation, Vectorization (feature extraction) and Building Height Calculation.
FME World Tour 2015 Dublin - Ordnance Survey Ireland - Bronagh McGannIMGS
Reverse Engineering: Prime2 to Prime1 using FME. The purpose of the project is to provide up to date Prime1 data, which has been re-engineered from Prime2, for those customers whose applications are unable to utilise Prime2.
Using FME we took three different approaches to the project. I will provide a brief overview of options 1 and 2 and why they didn't provide us with the required output. I will then focus on the option 3, we have implemented this option. I will give a brief demo of the FME workbench.
(1) Converting Prime2 to a Prime1 GFO
(2) Writing from the Prime2 Oracle database to our current Prime1 Oracle database
(3) Extracting Prime2 updates, out putting to a GFO format to enable graphic operators to update Prime1.
FME World Tour 2015 Dublin - Ordnance Survey Ireland - Martin CreatonIMGS
The use of Mapnik Rasterizer in the Ordnance Survey Ireland. The
aim of this project was to transform an Ordnance Survey Ireland
NTF vector dataset into GeoTIFF rasters using FME. In the past
OSI would have produced a 1:5000 raster les through old legacy
soware but now that soware has reached end of life and is no
longer supported. As part of FME 2014, FME and Mapnik have
been brought together to create the MapnikRasterizer which was
perfect ming for the OSi.
FME World Tour 2015 - FME & Data Migration Simon McCabeIMGS
Data migration best practices and procedures with
examples\scenarios from large migrations of utility data
(Water and Electric Data) including:
Designing the migration process
Tools to use in the process
Reporting\Reconciliation processes
Data cleansing
Cutover\Deployment considerations
IMGS 2015 - Implementing Leica Zeno for the Rural Payments Agency - Alex MacD...IMGS
To assist in the governance and management of the Single Payment Scheme, the RPA chose to deploy a Leica Zeno series workflow to integrate with their Rural Land Register and inspection system.
The Leica CS25 GNSS and Zeno Field is used by more than 200 inspectors to validate claims with jobs being processed via a batch workflow using Zeno Office to maintain the integrity of the data, improve positional accuracy and to provide a fully auditable workflow to ensure compliance with EU CAP regulations.
IMGS 2015 - Transport for London - Alun PearseyIMGS
An overview of the first geospatial project for Intergraph UK that deployed a hosted service on the Amazon Cloud. The presentation will cover the business and IT considerations that underpinned the clients (Transport for London) decision to move from an internal IT provided system to SaaS hosted solution. It will share some of the lessons learnt from the project and an update on benefits realised by the client.
National Map Production with Mapnik Rasteriser FMEIMGS
The aim of this project was to transform an Ordnance Survey Ireland NTF vector dataset into GeoTIFF rasters using FME. In the past OSI would have produced a 1:5000 raster tiles through old legacy software but now that software has reached end of life and is no longer supported. As part of FME 2014, FME and Mapnik have been brought together to create the MapnikRasterizer which was perfect timing for the OSi.
IMGS Geospatial User Group 2014 - GeoMedia WebMap 2014IMGS
- Easily build and deploy interactive web sites or web services without programming
- Real-time access to enterprise geospatial data
- View, query and analyse geospatial data from many geospatial data formats without any pre-translation
- Perform powerful linear referencing and analysis capabilities including routing and dynamic segmentation web services
IMGS Geospatial User Group 2014 - GeoMedia Smart Client Planning WorkflowsIMGS
GeoMedia Smart Client enables organisations to implement geospatial business workflows that are not supported by out-of-the-box products, in an easy and sustainable way across the enterprise also for non-GIS experts.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
2. IMGS
We deliver innovative spatial solutions
For the desktop, web and mobile
Built on our partner’s technology
Designed to meet the challenges of Government,
Mapping Agencies, and Utility & Communications
Customers
3. Safe Software
Powering the flow of spatial data with
FME
Enabling people to use their spatial data where, when and how they want to
Most Used Spatial Interoperable Solution in Ireland
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4. Why Spatial ETL?
Significant proliferation of different spatial data
formats and types
Hundreds of formats, with more added each year
Multiple types of data stored in multiple systems
Unique data model requirements for each application
4
5. Why Spatial ETL?
Traditional approaches to data translation
and data model manipulation are not viable
Complex, inefficient and time-consuming
5
6. Why Spatial ETL?
Increasing pressure for access to spatial data
More users, beyond traditional GIS users
Expectations of real-time custom data views, 24x7
6
7. FME Capabilities
The only complete spatial ETL solution
Translate spatial data from one
format to another
Transform spatial data into the
precise data model you need
Integrate different data types
into a single data model
Distribute spatial data to users
where, when and how they need it
7
8. FME Desktop
Flexible and powerful spatial ETL toolset
Translate, transform and integrate data in hundreds of
formats
Graphical authoring environment
Step 1 - Extract
Select and add the source
dataset(s)
Step 2 - Transform
Add transformers to manipulate
the data as it moves from source
to destination
Step 3 – Load
Load the transformed data into a
destination format and source
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9. FME Workbench
Use simple
point and click
to easily define
spatial data
flows to
translate,
transform and
integrate your
data
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10. Examples
Automating Ordnance Survey data updates
Pushing NTF data to multiple GIS platforms
Stripping out unnecessary data
Adding custom styling and symbology – CAD
E.g. Eircom, ESB, Fingal County Council
Publishing data to internal public portals
Bulk and transactional updates
Fire wall Friendly – use selected port
Completely automated
E.g. Dublin City Council
11. Open Data Challenge
You want to meet Open data requirements, but
your data is organized rather differently
?
13. SDI Harmonization
Core Concepts
Harmonization: implied requirement for building
an SDI
Disparate sources must be mapped to a common
destination data model
Core to the harmonization workflow is a process
called schema mapping.
Delivered by services based on open standards
14. Harmonization Principles
Typical stages:
1. Evaluation
2. Assembly
3. Transformation
4. Validation
5. Publication
Based on the Spatial ETL concept (Extract,
Transform and Load), as applied to INSPIRE SDI’s
15. Evaluation
Assess destination schema and data
requirements
Assess source datasets and schema
Consider fundamental differences in
representation, resolution
Closely inspect actual representative
datasets
16. Data Assembly
Assess the diversity of source data types:
vector, raster, CAD, GIS, database, text, XML,
web, 3D, sensor and non-spatial
Review format and semantic translation
needs
Decide how to perform necessary joins
ID joins, spatial relates, nearest neighbor, one to
many relationships
Goal is to build a data structure that corresponds with your
published standard
17. Metadata – Data about data
Describes data structures
tables
geometry types
data types
fields
Describes data content
coordinate system
extent
modification date
quality, ownership, etc.
21. Data Transformation - Schema
Reshape source data
to match required
destination schema
Schema mapping
feature type
attribute name
new attribute
creation
code lists
conditional value
mappings
22. Schema Mapping in FME
Feature Type Mapping in FME Workbench
Attribute Mapping in FME Workbench
23. FME Data Model Restructuring:
Attribute Names & Values
Value Mapping
25. Transformation: Geometry
Non-spatial to spatial
Geometry extraction (spatial to GML)
Representation transform: CAD drawing lines with labels to
GIS polygonal features with attributes
Coordinate System Reprojection (ED50 to ETRF89)
Simple to complex geometry
Source point and polygon data to multiple geometric
representations (city as point / area, river as line / area)
Generalization and interpolation
Highly granular national and regional datasets often require thinning
to be usable on pan-European scales
26. Validation
Schema validation i.e. INSPIRE (xsds)
Data integrity
Unique IDs
Geometric integrity (closed polygons)
Null values (nullable?)
Valid values: ranges and domain codes
Data gaps
Bounds
Network integrity
Custom validity rules specific to domain
Validation automation via FME Server upload
Ensure data quality throughout the data transformation process
27. Publication
Produce INSPIRE compliant GML
Provide discovery, view or download
services, for WxS, GML and other desired
formats
Publish with FME Server or integrate with
your geo web server of choice:
Spatial Data Services
28. Publication with FME Server
Publish workspace to FME Server
Store the workspace in a central repository
Make your FME workspaces available to others –over
the web
Register the workspace with one or more services (Data
Streaming, Data Download, etc.)
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29. FME Tools for INSPIRE
Format translation
Schema mapping
String and list manipulation
Data validation
Database load and extract
XML,GML,WFS: reading, validation,
publication
Web services: WFS, WMS,
integration with others
Metadata support
Enterprise services with FME Server
30. Other ETL Software Options
Intergraph GeoMedia Fusion
GeoKettle – Open Source
Snowflake Software
Spatial Data Integrator – Open Source
31. Summary
FME can provide all the tools to help build support your
data sharing needs:
Integrate your data sources
Manage your meta data catalogues
Transform your data to standard schemas
Publish the data in the required formats
32. Thank You
For more information:
Email: ckirk@imgs.ie or tkent@imgs.ie
Twitter: @Ciarankirk
Web: www.imgs.ie
Supports searchesAllows you to review content without having to read all the data firstDiscover what’s availableSupport data management and updatesprovides parameters for automating processingControl accessTrack ownership
Read metadata attributesXML reading, writing, updatingSchema readingReading from web sourcesIntegration with web servicesHarvest and validation capabilitiesCreation of your own web services