FME Overview

•Download as PPTX, PDF•

2 likes•3,654 views

This document introduces FME, a software for spatial data transformation. It can translate over 300 formats and features over 400 transformation tools. FME can be used for tasks like CAD to GIS conversion, data migration, reformatting, and quality assurance. It has a graphical authoring environment called FME Workbench. FME Server allows sharing transformations across organizations via web services. It supports data distribution, live data streams, uploads and validation through services.

An Introduction to FME

April - June 2013

A long time ago on a distant planet
called Earth…

FME Technology Capabilities
The only complete spatial data transformation solution

Translate spatial Transform spatial
data from one data into the
format to precise data
another model you
need
300+ 400+
supported data
formats in FME transformation
2013 tools

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

It is all about transformation

 the format
problem
AND
 the data
model
problem

FME Workbench
A simple graphical authoring environment

 Create repeatable workflows – FME Workspaces

Types of Transformations

 Attribute
Transformations

 Geometric
Transformations

 Raster & Point Cloud
Transformations

Types of Transformations

 Data Model
Transformations

 Coordinate System
Transformations
5
5
5
5 5 5 5 55
5
5
5 5
5 5
5
5
5

5 5
5 5 5 55
55
5

5
5
5 5 5

5
5
5
5
 5
55
5 5 5
5 55

5
5 
5 5

55
5 5 5 5 5 5 5  5
5 55
5 5 5 
5 55
5 5 5 5 5 5  5 5
5 
 55

5 
5 5
 5

 55 55

55 5 5 5 5 5 5
5

55 5 55 5
5 5
5 5 5 5 55
5 5 55 5
5 
 
 55 5
5 5 
5 55
5 5 555 5 5 55 5 
 55
5 55 5  
55 55 5
5


5
5

5
555
5
55

FME Workbench Workspace

 Graphical authoring environment

What is FME Server?

 Share the power of FME across the enterprise.

 Use the same FME Engine
that powers FME Desktop

 Transform & Share
spatial data via web services

What FME Server can do for you

 Data Distribution
 Data Download Service
 Live Data Streams
 Data Streaming Service
 Upload and Validation
 Data Upload Service
 Centralize Data Transformation
 Job Submitter Service
 Other Services
 Scheduling Service
 Notification Services

The Power of Now

 Real time data processing
 Sensors and “The Internet of
Things”
 Mobile Platforms
 Event-driven architecture

Thank You!

 Questions?

 For more information:
 www.safe.com

Creating web applications is easy with FME Server Apps! Without ever having to write a single line of code, you can create beautiful web apps that work with any data source. Plus, with Gallery Apps, you can get organized by having all your applications in one central place. In this webinar, see how you can: - Create and manage Workspace Apps that run workspaces from a web browser - Create a landing page for all your workspace apps and URLs - Provide specific user groups access to content - Apply best practices when working with FME writers, published parameters, and more Never feel scattered across the web again! With FME, bring all your data together into one single platform, with no coding required.

Build, train and deploy ML models at scale.pdf

Amazon Web Services

Amazon SageMaker is a fully-managed platform that lets developers and data scientists build and scale machine learning solutions. First, we'll show you how SageMaker Ground Truth helps you label large training datasets. Then, using Jupyter notebooks, we'll show you how to build, train and deploy models using built-in algorithms and frameworks (TensorFlow, Apache MXNet, etc). Finally, we'll show you how to use 3rd-party models from the AWS marketplace.

FME Platform Best Practices.pdf

Safe Software

The FME Integration Platform is filled with readers, transformers, and writers to help your data flow freely between applications. It's also filled with a variety of features that can help you troubleshoot, plan hardware upgrades, and keep your environment safe and secure. Whether you are installing FME for the first time or planning your next upgrade, this is the presentation for you. Join Sienna and Chris as they share tips, tricks, and best practices that you can easily implement in your organization.

Melbourne: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cl...

Certus Solutions

Snowflake is a cloud data warehouse that provides elasticity, scalability, and simplicity. It allows organizations to consolidate their diverse data sources in one place and instantly scale up or down their compute capacity as needed. Aptus Health, a digital marketing company, used Snowflake to break down data silos, integrate disparate data sources, enable broad data sharing, and provide a scalable and cost-effective solution to meet their analytics needs. Snowflake addressed both business needs for timely access to centralized data and IT needs for flexibility, extensibility, and reducing ETL work.

Data Migration Steps PowerPoint Presentation Slides

SlideTeam

Presenting this set of slides with name - Data Migration Steps Powerpoint Presentation Slides. This PPT deck displays twenty-six slides with in-depth research. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. When you download this deck by clicking the download button below, you get the presentation in both standard and widescreen format. All slides are fully editable. change the colors, font size, add or delete text if needed. The presentation is fully supported with Google Slides. It can be easily converted into JPG or PDF format.

Preparing a data migration plan: A practical guide

ETLSolutions

The document provides guidance on preparing a data migration plan. It discusses the importance of project scoping, methodology, data preparation, and data security when planning a data migration. Specifically, it recommends thoroughly reviewing all aspects of the project and data in the planning stages to identify risks and issues early. This helps reduce risks and ensures the migration is completed according to best practices.

Machine Learning using Kubeflow and Kubernetes

Arun Gupta

The document discusses mainframe application modernization using CA Gen. It notes that many organizations depend on legacy enterprise applications built in COBOL. The challenges are modernizing these complex applications quickly enough. Renewal is presented as a lower-risk approach to modernization compared to rewriting or replacing applications. CA Gen is described as an agile development tool that can accelerate modernization by transforming existing COBOL applications into the CA Gen environment through an automated extraction, analysis, refactoring and transformation process.

Considerations for Data Access in the Lakehouse

Databricks

Organizations are increasingly exploring lakehouse architectures with Databricks to combine the best of data lakes and data warehouses. Databricks SQL Analytics introduces new innovation on the “house” to deliver data warehousing performance with the flexibility of data lakes. The lakehouse supports a diverse set of use cases and workloads that require distinct considerations for data access. On the lake side, tables with sensitive data require fine-grained access control that are enforced across the raw data and derivative data products via feature engineering or transformations. Whereas on the house side, tables can require fine-grained data access such as row level segmentation for data sharing, and additional transformations using analytics engineering tools. On the consumption side, there are additional considerations for managing access from popular BI tools such as Tableau, Power BI or Looker. The product team at Immuta, a Databricks partner, will share their experience building data access governance solutions for lakehouse architectures across different data lake and warehouse platforms to show how to set up data access for common scenarios for Databricks teams new to SQL Analytics.

Introduction to Microsoft 365 (Office 365).pptx

JohnVince8

This document provides an introduction to Microsoft 365 and its applications. It defines Microsoft 365 as a cloud-based subscription service that includes productivity apps like Word, Excel, PowerPoint, Outlook, OneDrive, Teams, and SharePoint. It describes each of the main applications and how DepEd teachers in the Philippines received Microsoft 365 accounts to replace their previous Google Workspace accounts. The document also provides instructions for activating a DepEd Microsoft 365 account, including finding the login email, setting the temporary and new passwords, and setting up password recovery options.

Migrating data: How to reduce risk

ETLSolutions

Migration Planning

Amazon Web Services

Quality Assurance of FME Scripts

Safe Software

FME makes it possible to solve complex problems, but this often leads to complex models which can be challenging to maintain without introducing errors or unwanted behaviours. Typical scenarios are when changing the model or updating the FME version, transformer versions, or other components used by the model. Testing is a cornerstone in the modern software development process to assure code quality by examining the software's artifacts and behaviour. Methodologies for testing source code are well developed, mature, and well-described. On the other hand, methods for testing scripts or programs developed with a “drag- and drop interface” development software like FME are not as well established. Some work on establishing a test framework for FME scripts has been done, for example, the rTest framework developed by the company Veremes and presented at FME IUC 2017. We present a test method for quality assurance of FME scripts that is not based on defining test cases but instead works by comparing datasets at different measure points in a script to assure that data has not changed in an unwanted way after updating a script.

Architect’s Open-Source Guide for a Data Mesh Architecture

Databricks

Data Mesh is an innovative concept addressing many data challenges from an architectural, cultural, and organizational perspective. But is the world ready to implement Data Mesh? In this session, we will review the importance of core Data Mesh principles, what they can offer, and when it is a good idea to try a Data Mesh architecture. We will discuss common challenges with implementation of Data Mesh systems and focus on the role of open-source projects for it. Projects like Apache Spark can play a key part in standardized infrastructure platform implementation of Data Mesh. We will examine the landscape of useful data engineering open-source projects to utilize in several areas of a Data Mesh system in practice, along with an architectural example. We will touch on what work (culture, tools, mindset) needs to be done to ensure Data Mesh is more accessible for engineers in the industry. The audience will leave with a good understanding of the benefits of Data Mesh architecture, common challenges, and the role of Apache Spark and other open-source projects for its implementation in real systems. This session is targeted for architects, decision-makers, data-engineers, and system designers.

Data Mesh for Dinner

Kent Graziano

Data mesh is a decentralized approach to managing and accessing analytical data at scale. It distributes responsibility for data pipelines and quality to domain experts. The key principles are domain-centric ownership, treating data as a product, and using a common self-service infrastructure platform. Snowflake is well-suited for implementing a data mesh with its capabilities for sharing data and functions securely across accounts and clouds, with built-in governance and a data marketplace for discovery. A data mesh implemented on Snowflake's data cloud can support truly global and multi-cloud data sharing and management according to data mesh principles.

Verizon: Finance Data Lake implementation as a Self Service Discovery Big Dat...

DataWorks Summit

Finance Data Lake objective is to create a centralized enterprise data repository for all Finance and Supply Chain data. It serves as the single source of truth. It enables a self-service discovery Analytics platform for business users to answer adhoc business questions and derive critical insights. The data lake is based on open source Hadoop big data platform and a very cost effective solution in breaking the ERP data silos and simplifying the data architecture in the enterprise. POCs were conducted on in-house Hortonworks Hadoop data platform to validate the cluster performance for Production volumes. Based on business priorities, an initial roadmap was defined using 3 data sources including 2 SAP ERPs and Peoplesoft (OLTP systems). Development environment was established in AWS Cloud for agile delivery. The near real time data ingestion architecture for the data lake was defined using replication tools and custom SQOOP based micro-batching framework and data persisted in Apache Hive DB in ORC format. Data and user security is implemented using Apache Ranger and sensitive data stored at rest in encryption zones. Business data sets were developed in Hive scripts and scheduled using Oozie. Multiple reporting tools connectivity including SQL tools, Excel and Tableau were enabled for Self-service Analytics. Upon successful implementation of the initial phase, a full roadmap is established to extend the Finance data lake to over 25 data sources and enhance data ingestion to scale as well as enable OLAP tools on Hadoop.

Get Savvy with Snowflake

Matillion

In this webinar you'll learn how to quickly and easily improve your business using Snowflake and Matillion ETL for Snowflake. Webinar presented by Solution Architects Craig Collier (Snowflake) adn Kalyan Arangam (Matillion). In this webinar: - Learn to optimize Snowflake and leverage Matillion ETL for Snowflake - Discover tips and tricks to improve performance - Get invaluable insights from data warehousing pros

The Heart of the Data Mesh Beats in Real-Time with Apache Kafka

Kai Wähner

If there were a buzzword of the hour, it would certainly be "data mesh"! This new architectural paradigm unlocks analytic data at scale and enables rapid access to an ever-growing number of distributed domain datasets for various usage scenarios. As such, the data mesh addresses the most common weaknesses of the traditional centralized data lake or data platform architecture. And the heart of a data mesh infrastructure must be real-time, decoupled, reliable, and scalable. This presentation explores how Apache Kafka, as an open and scalable decentralized real-time platform, can be the basis of a data mesh infrastructure and - complemented by many other data platforms like a data warehouse, data lake, and lakehouse - solve real business problems. There is no silver bullet or single technology/product/cloud service for implementing a data mesh. The key outcome of a data mesh architecture is the ability to build data products; with the right tool for the job. A good data mesh combines data streaming technology like Apache Kafka or Confluent Cloud with cloud-native data warehouse and data lake architectures from Snowflake, Databricks, Google BigQuery, et al.

Software as a service, software engineering

Rupesh Vaishnav

Snowflake Datawarehouse Architecturing

Ishan Bhawantha Hewanayake

Data Sharing with Snowflake

Snowflake Computing

Every day, businesses across a wide variety of industries share data to support insights that drive efficiency and new business opportunities. However, existing methods for sharing data involve great effort on the part of data providers to share data, and involve great effort on the part of data customers to make use of that data. However, existing approaches to data sharing (such as e-mail, FTP, EDI, and APIs) have significant overhead and friction. For one, legacy approaches such as e-mail and FTP were never intended to support the big data volumes of today. Other data sharing methods also involve enormous effort. All of these methods require not only that the data be extracted, copied, transformed, and loaded, but also that related schemas and metadata must be transported as well. This creates a burden on data providers to deconstruct and stage data sets. This burden and effort is mirrored for the data recipient, who must reconstruct the data. As a result, companies are handicapped in their ability to fully realize the value in their data assets. Snowflake Data Sharing allows companies to grant instant access to ready-to-use data to any number of partners or data customers without any data movement, copying, or complex pipelines. Using Snowflake Data Sharing, companies can derive new insights and value from data much more quickly and with significantly less effort than current data sharing methods. As a result, companies now have a new approach and a powerful new tool to get the full value out of their data assets.

One Cloud Pitch Deck

Claudio de Castro Correa

The increasing of demand for cloud computing services also increases the number of providers and solutions. This situation brings several challenges, such as difficulties in finding the best service, the increase of migration complexity and the challenge of resources management. To help companies in this movement, the startup called One Cloud was created in order to facilitate all the life cycle of cloud computing services, from search and compare providers, to acquisition and management of environments. Through a "one stop shop" web platform, the customer is able to compare prices and features, and also acquire cloud infrastructure services from the main providers. All this in a single portal, simple, centralized and secure.

Cloud Migration: Moving Data and Infrastructure to the Cloud

Safe Software

The movement to the cloud is accelerating across industries. This is driven by the maturing of cloud technology, and by the sudden shift to a more distributed and remote workforce. The cloud has many strengths from no longer having to purchase and manage infrastructure to its ability to grow seamlessly and to scale up and down to meet demands. With all these benefits, many organizations are preparing cloud migration strategies (such as on-premise to the cloud) and are finding themselves overwhelmed by the process. There are many things to consider when planning a cloud migration but the process does not have to be complicated or costly due to private services. Join this webinar to learn how you get started with your cloud migration today!

Master Data Management - Aligning Data, Process, and Governance

DATAVERSITY

Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.

Leveraging Data Integration for Strategic GIS Governance

Safe Software

Join us and our co-hosting Platinum partner Consortech for a comprehensive exploration of how FME can support data and GIS governance within your organization. We'll dive into the importance of having a solid governance framework in place to ensure the integrity, security, and accuracy of your data and GIS assets. We'll take you through the six main domains of a GIS Governance Framework as defined by Matthew Lewin of Esri and demonstrate how the FME data integration platform can improve many. This will include topics such as data validation, data quality, and standards, and how together these can support enterprise-wide data integration and automation. Real-world examples and demos will be provided to show you how you can implement FME to promote effective data governance, and best practices for integrating FME into your organization's governance framework will be discussed. We will wrap up by taking a look at what’s on the horizon for data governance and how these approaches can help lay the groundwork to support better analytics and use of AI. This webinar is suitable for professionals in the fields of GIS, data management, and governance, and all levels of FME users & learners will benefit from this interactive and informative session. Attend and gain a better understanding of how you can use FME to support data and GIS governance, as well as practical tips and techniques for implementing FME within your own organization.

Cloud migration strategies

SogetiLabs

This document discusses various cloud migration strategies. It suggests starting with a partial approach by moving generic applications or non-critical infrastructure to the cloud as a first step. A full assessment of applications is needed to determine what can be retired, replaced with SaaS, refactored for PaaS, or initially rehosted on IaaS. It outlines a 5 step process for cloud migration including determining public vs private cloud, integration strategies, and transition architecture. The overall goal is to leverage the cloud platform to reduce costs and improve flexibility over time.

Introduction to snowflake

Sunil Gurav

Snowflake is an analytic data warehouse provided as software-as-a-service (SaaS). It uses a unique architecture designed for the cloud, with a shared-disk database and shared-nothing architecture. Snowflake's architecture consists of three layers - the database layer, query processing layer, and cloud services layer - which are deployed and managed entirely on cloud platforms like AWS and Azure. Snowflake offers different editions like Standard, Premier, Enterprise, and Enterprise for Sensitive Data that provide additional features, support, and security capabilities.

Student Engagement Survey

Blue Valley School District

The document summarizes the results of a teacher survey about student engagement using iPads at different grade levels. It shows that most students across all grade levels actively participate in class, work well with others, ask for help when needed, and are able to work independently using the iPad. Teachers reported being able to differentiate their instruction using the iPad, although to a slightly lesser degree than the other measures of student engagement.

Graph matching

Angela Phillips

What's hot

Mainframe Application Modernization for Enterprise Developers

CA Technologies

Considerations for Data Access in the Lakehouse

Databricks

Introduction to Microsoft 365 (Office 365).pptx

JohnVince8

Migrating data: How to reduce risk

ETLSolutions

Migration Planning

Amazon Web Services

Quality Assurance of FME Scripts

Safe Software

Architect’s Open-Source Guide for a Data Mesh Architecture

Databricks

Data Mesh for Dinner

Kent Graziano

Verizon: Finance Data Lake implementation as a Self Service Discovery Big Dat...

DataWorks Summit

Get Savvy with Snowflake

Matillion

The Heart of the Data Mesh Beats in Real-Time with Apache Kafka

Kai Wähner

Software as a service, software engineering

Rupesh Vaishnav

Snowflake Datawarehouse Architecturing

Ishan Bhawantha Hewanayake

Data Sharing with Snowflake

Snowflake Computing

One Cloud Pitch Deck

Claudio de Castro Correa

Cloud Migration: Moving Data and Infrastructure to the Cloud

Safe Software

Master Data Management - Aligning Data, Process, and Governance

DATAVERSITY

Leveraging Data Integration for Strategic GIS Governance

Safe Software

Cloud migration strategies

SogetiLabs

Introduction to snowflake

Sunil Gurav

What's hot (20)

Mainframe Application Modernization for Enterprise Developers

Considerations for Data Access in the Lakehouse

Introduction to Microsoft 365 (Office 365).pptx

Migrating data: How to reduce risk

Migration Planning

Quality Assurance of FME Scripts

Architect’s Open-Source Guide for a Data Mesh Architecture

Data Mesh for Dinner

Verizon: Finance Data Lake implementation as a Self Service Discovery Big Dat...

Get Savvy with Snowflake

The Heart of the Data Mesh Beats in Real-Time with Apache Kafka

Software as a service, software engineering

Snowflake Datawarehouse Architecturing

Data Sharing with Snowflake

One Cloud Pitch Deck

Cloud Migration: Moving Data and Infrastructure to the Cloud

Master Data Management - Aligning Data, Process, and Governance

Leveraging Data Integration for Strategic GIS Governance

Cloud migration strategies

Introduction to snowflake

Similar to FME Overview

Student Engagement Survey

Blue Valley School District

Graph matching

Angela Phillips

Lesters Blues Dave Cliff

mabbagliati

Decision Matrix

Duke University Career Center

This document summarizes Oliver Wighman's decision matrix for evaluating two potential career paths. The matrix considers 18 criteria such as work purpose, education benefits, international experience, work-life balance, location, and salary. Oliver scored each career path on a scale from 1 to 5 for each criterion and tallied the points to calculate a final score, with one path receiving a score of 78 and the other receiving a score of 83.

Eliza first

Loveis1able Khumpuangdee

This document contains the sheet music for "Für Elise" composed by Ludwig van Beethoven between 1810-1820. The piece is written for solo piano and follows a simple structure with repeating melodic phrases and accompaniment patterns throughout. It builds to a climax near the middle before resolving back down through the end. "Für Elise" remains one of Beethoven's most popular and recognizable compositions.

Backup rhythm

Leo Crossfield

June apple 5 string (2)

Leo Crossfield

This document provides musical notation for the traditional June Apple tune arranged for 5-string banjo. The notation is presented in two parts, with Part A consisting of a melodic line in the key of G major followed by Part B, which introduces variations on the main melody in G and F major keys. The tab uses numbers to indicate which strings and frets to finger at each note for the fingerpicking pattern.

Similar to FME Overview (7)

Student Engagement Survey

Graph matching

Lesters Blues Dave Cliff

Decision Matrix

Eliza first

Backup rhythm

June apple 5 string (2)

More from Safe Software

Driving Business Innovation: Latest Generative AI Advancements & Success Story

Safe Software

Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency. During the hour, we’ll take you through: Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board. Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes. Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI. We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI. This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!

Essentials of Automations: The Art of Triggers and Actions in FME

Safe Software

In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation. We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios. Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!

Essentials of Automations: The Art of Triggers and Actions in FME

Safe Software

Essentials of Automations: Optimizing FME Workflows with Parameters

Safe 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.

The Zero-ETL Approach: Enhancing Data Agility and Insight

Safe Software

In the ever-evolving landscape of data management, Zero-ETL is an approach that is reshaping how businesses handle and integrate their data. This webinar explores Zero-ETL, a paradigm shift from the traditional Extract, Transform, Load (ETL) process, offering a more streamlined, efficient, and real-time data integration method. We will begin with an introduction to the concept of Zero-ETL, including how it allows direct access to data in its native environment and real-time data transformation, providing up-to-date information with significantly reduced data redundancy. Next, we'll take you through several demonstrations showing how Zero-ETL can deliver real-time data and enable the free movement of data between systems. We will also discuss the various tools that support all aspects of Zero-ETL, providing attendees with an understanding of how they can adopt this innovative approach in their organizations. Lastly, the session will conclude with an interactive Q&A segment, allowing participants to gain deeper insights into how Zero-ETL can be tailored to their specific business needs and how they can get started today. Join us to discover how Zero-ETL can elevate your organization's data strategy.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization's performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We'll explore: FME's role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME's impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation

Safe Software

Hiring and retaining software development talent is next to impossible for AEC firms and other industries alike. Join us and guest speakers from HOK, a leader in the AEC industry, as they share their success in navigating the tight talent market through the use of no-code solutions and FME. Discover how HOK approached the process of building a custom tool to automate the creation of projects and user management for Trimble Connect and ProjectSight. Using a mix of traditional and no-code in FME, our guest speakers will reveal how the team bridged the resource gap and used the available talent pool, producing the mission-critical web app “Trajectory”. They will also dive into details, illustrating first-hand how JSON data was used as a “glue” between two development groups. Learn how embracing FME as a no-code solution can unlock potential within your teams, foster collaboration, and drive efficiency.

Powering Real-Time Decisions with Continuous Data Streams

Safe Software

In an era where making swift, data-driven decisions can set industry leaders apart, understanding the world of data streaming and stream processing is crucial. During this webinar, we'll explore: Stream Processing Overview: Dive into what stream processing entails and the value it brings organizations. Stream vs. Batch Processing: Learn the key differences and benefits of stream processing compared to traditional batch processing, highlighting the efficiency of real-time data handling. Mastering Data Volumes: Discover strategies for effectively managing both high and low volume data streams, ensuring optimal performance. Boosting Operational Excellence: Explore how adopting data streaming can enhance your organization's operational workflows and productivity. Spatial Data's Role in Streams: Understand the importance of spatial data in stream processing for more informed decision-making. Interactive Demos: Watch practical demos, from dynamic geofencing to group-based processing. Plus, we’ll show you how you can do it without coding! Register now to take the first step towards more informed, timely, and precise decision-making for your organization.

The Critical Role of Spatial Data in Today's Data Ecosystem

Safe Software

In today's data-driven landscape, integrating spatial data is becoming increasingly crucial for organizations aiming to harness the full potential of their data. Spatial data offers unique insights based on location, making it a fundamental component for addressing various challenges across different sectors, including urban planning, environmental sustainability, public health, and logistics. Our webinar delves into the indispensable role of spatial data in data management and analysis. We'll showcase how omitting spatial data from your data strategy not only weakens your data infrastructure, but also limits the depth of your insights. Through real-world case studies, we'll highlight the transformative impact of spatial data, demonstrating its ability to uncover complex patterns, trends, and relationships. Join us for this introductory-level webinar as we explore the critical importance of spatial data integration in driving strategic decision-making processes. By the end of the webinar, you'll gain a renewed perspective on how spatial data is essential for confronting and overcoming challenges across various domains.

Cloud Revolution: Exploring the New Wave of Serverless Spatial Data

Safe Software

Once in a while, there really is something new under the sun. The rise of cloud-hosted data has fueled innovation in spatial data storage, enabling a brand new serverless architectural approach to spatial data sharing. Join us in our upcoming webinar to learn all about these new ways to organize your data, and leverage data shared by others. Explore the potential of Cloud Native Geospatial Formats in your workflows with FME, as we introduce five new formats: COGs, COPC, FlatGeoBuf, GeoParquet, STAC and ZARR. Learn from industry experts Michelle Roby from Radiant Earth and Chris Holmes from Planet about these cloud-native geospatial data formats and how they can make data easier to manage, share, and analyze. To get us started, they’ll explain the goals of the Cloud-Native Geospatial Foundation and provide overviews of cloud-native technologies including the Cloud-Optimized GeoTIFF (COG), SpatioTemporal Asset Catalogs (STAC), and GeoParquet. Following this, our seasoned FME team will guide you through practical demonstrations, showcasing how to leverage each format to its fullest potential. Learn strategic approaches for seamless integration and transition, along with valuable tips to enhance performance using these formats in FME. Discover how these formats are reshaping geospatial data handling and how you can seamlessly integrate them into your FME workflows and harness the explosion of cloud-hosted data.

Igniting Next Level Productivity with AI-Infused Data Integration Workflows

Safe Software

Learn where FME meets AI in this upcoming webinar to offer you incredible time savings. This webinar is tailored to ignite imaginations and offer solutions to your data integration challenges. As the new digital era sets sail on the winds of AI, the tangibility of its integration in our daily schema is unfolding. Segment 1, titled “AI: The Good, the Bad and the FME” by Darren Fergus of Locus, navigates through the realms of AI, scrutinizing its pervasive impact while underscoring the symbiotic potential of FME and AI. Join in an engaging demonstration as FME and ChatGPT collaboratively orchestrate a PowerPoint narrative, epitomizing the alliance of AI with human ingenuity. In Segment 2, “Integrating GeoAI Models in FME” by Dennis Wilhelm and Dr. Christopher Britsch of con terra GmbH, the spotlight veers towards operationalizing AI in our daily tasks through FME. A practical approach to embedding GeoAI Models into FME Workspaces is unveiled, showcasing the ease of incorporating AI-driven methodologies into your FME workflows, skyrocketing productivity levels. To follow, Segment 3, "Unleash generative AI on your terms!" by Oliver Morris of Avineon-Tensing. While the prospects of Generative AI are thrilling, security and IT reservations, especially with 'phone home' tools, are genuine concerns. However, with open-source tools, you can locally harness large language models. In this demo, we'll unravel the magic of local AI deployment and its seamless integration into an FME workspace. Bonus! Dmitri will join us for a fourth segment to tie us off, showcasing what he has been up to this week, including using OpenAI API for texturing in FME, amoung other projects. Join us to explore the synergy of FME and AI: opening portals to a realm of revolutionized productivity and enriched user experiences.

The Zero-ETL Approach: Enhancing Data Agility and Insight

Safe Software

Mastering MicroStation DGN: How to Integrate CAD and GIS

Safe Software

Dive deep into the world of CAD-GIS integration with our expert-led webinar. Discover how to seamlessly transfer data between Bentley MicroStation and leading GIS platforms, such as Esri ArcGIS. This session goes beyond mere CAD/GIS conversion, showcasing techniques to precisely transform MicroStation elements including cells, text, lines, and symbology. We’ll walk you through tags versus item types, and understanding how to leverage both. You’ll also learn how to reproject to any coordinate system. Finally, explore cutting-edge automated methods for managing database links, and delve into innovative strategies for enabling self-serve data collection and validation services. Join us to overcome the common hurdles in CAD and GIS integration and enhance the efficiency of your workflows. This session is perfect for professionals, both new to FME and seasoned users, seeking to streamline their processes and leverage the full potential of their CAD and GIS systems.

Geospatial Synergy: Amplifying Efficiency with FME & Esri

Safe Software

Dive deep into the world of geospatial data management and transformation in our upcoming webinar focusing on the powerful integration of FME and Esri technologies. This insightful session comprises two compelling segments aimed at enhancing your geospatial workflows, while minimizing operational hurdles. In the first segment, guest speaker Jan Roggisch from Locus unveils how Auckland Council triumphed over the challenges of handling large, frequent data updates on ArcGIS Online using FME. Discover the journey from manual data handling to an automated, streamlined process that reduced server downtime from minutes to seconds: setting a new standard for local government organizations. The second segment, led by James Botterill from 1Spatial, unveils the magic of incorporating ArcPy into your FME workflows. Delve into real-world scenarios where ArcGIS geoprocessing is harmoniously orchestrated within FME using the PythonCaller. Gain insights into raster-vector data conversion, spatial analysis, and a host of practical tips and tricks that empower you to leverage the combined capabilities of FME and Esri for efficient data manipulation and conversion. Join us to explore the remarkable possibilities that open up when FME and Esri technologies converge – enhancing your ability to manage and transform geospatial data with unprecedented efficiency.

Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf

Safe Software

Join us at Safe Software as we unveil the exciting new FME Community platform. Picture yourself entering a vibrant, interconnected world, where every click brings you closer to a fellow FME enthusiast, a new idea, or a solution that could revolutionize your workflow. Since its inception, the FME Community has been a dynamic hub for knowledge sharing, where thousands of users converge to exchange insights, engage in stimulating discussions, and collaboratively solve challenges. Now, envision this community reimagined - retaining the features you know and love, but infused with new, cutting-edge functionalities designed to make your experience even more enriching and effortless. The Community is also planned to soon act as a central hub for all FME community acticity across the web. This webinar is your personal tour through this enhanced FME Community landscape. Whether you're an experienced user familiar with every nook and cranny of the old platform, or you're setting foot in this community for the first time, our webinar will ensure you navigate the new terrain with ease and confidence. Discover how to maximize your engagement, tap into the wealth of resources available, and contribute to the growing tapestry of FME innovation. Join us in celebrating the future of FME collaboration, where your next breakthrough idea, insightful article, or spirited discussion awaits. Don't miss this opportunity to be a part of the evolution of the FME Community!

Breaking Barriers & Leveraging the Latest Developments in AI Technology

Safe Software

Explore how to best leverage the latest of AI technology in our upcoming webinar, where we delve into advancements and trends in the field since our previous AI webinars in 2023. Join us for a session filled with fresh insights and practical knowledge. We're stitching together the final threads of this presentation as we speak, keeping pace with AI's breakneck speed. Expect a session brimming with the freshest insights, releases and breakthroughs in AI – right up to the minute! A spotlight of this session is set to include Dmitri Bagh’s exploration of innovative AI integrations with FME, ranging from generating 3D features for augmented reality using Dall-E, to enhancing urban planning with orthoimagery completion, and showcasing the power of AI in workspace analysis and geoart creation. Whether you're new to AI or an experienced practitioner, this webinar is tailored to keep you at the forefront of AI innovation. Get ready for a session that is as informative as it is inspiring, equipping you with the tools to excel in the dynamic world of artificial intelligence.

Best Practices to Navigating Data and Application Integration for the Enterpr...

Safe Software

Navigating the complexities of managing vast enterprise data across multiple systems can be challenging. This webinar is your guide to navigating and simplifying enterprise integration. As a technology leader, you may grapple with legacy systems, shadow IT, and budget constraints. Data and personnel silos often impede technological progress. FME champions integrating superior business systems to bolster your organization's digital strength – efficiently and affordably, using your current team and accessible services. Join us and partner guest speakers from Seamless in an engaging session exploring the essential roles of data and systems in modern enterprises. We'll provide insights on achieving high-quality data management, establishing strong governance, and enabling teams to manage their data effectively. Delve into strategies for ensuring high-quality data and building robust governance structures, with tips and tricks along the way. This webinar features real-life case studies demonstrating success in diverse industries. Learn cutting-edge strategies for data governance and system integration. Don't miss this opportunity to gain valuable insights and best practices for transforming your data governance and system integration processes.

More from Safe Software (20)

Driving Business Innovation: Latest Generative AI Advancements & Success Story

Essentials of Automations: The Art of Triggers and Actions in FME

Essentials of Automations: Optimizing FME Workflows with Parameters

The Zero-ETL Approach: Enhancing Data Agility and Insight

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation

Powering Real-Time Decisions with Continuous Data Streams

The Critical Role of Spatial Data in Today's Data Ecosystem

Cloud Revolution: Exploring the New Wave of Serverless Spatial Data

Igniting Next Level Productivity with AI-Infused Data Integration Workflows

The Zero-ETL Approach: Enhancing Data Agility and Insight

Mastering MicroStation DGN: How to Integrate CAD and GIS

Geospatial Synergy: Amplifying Efficiency with FME & Esri

Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf

Breaking Barriers & Leveraging the Latest Developments in AI Technology

Best Practices to Navigating Data and Application Integration for the Enterpr...

FME Overview

1. An Introduction to FME April - June 2013

2. A long time ago on a distant planet called Earth…

3. FME Technology Capabilities The only complete spatial data transformation solution Translate spatial Transform spatial data from one data into the format to precise data another model you need 300+ 400+ supported data formats in FME transformation 2013 tools

4. Warp Speed Demo!

5. 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

6. Who we work with…

7. FME Product Line

8. It is all about transformation  the format problem AND  the data model problem

9. FME Workbench A simple graphical authoring environment  Create repeatable workflows – FME Workspaces

10. Types of Transformations  Attribute Transformations  Geometric Transformations  Raster & Point Cloud Transformations

11. Types of Transformations  Data Model Transformations  Coordinate System Transformations 5 5 5 5 5 5 5 55 5 5 5 5 5 5 5 5 5 5 5 5 5 5 55 55 5  5 5 5 5 5  5 5 5 5  5 55 5 5 5 5 55  5 5  5 5 55 5 5 5 5 5 5 5  5 5 55 5 5 5  5 55 5 5 5 5 5 5  5 5 5   55  5  5 5  5  55 55 55 5 5 5 5 5 5 5 55 5 55 5 5 5 5 5 5 5 55 5 5 55 5 5     55 5 5 5  5 55 5 5 555 5 5 55 5   55 5 55 5   55 55 5 5   5 5  5 555 5 55

12. FME Workbench Workspace  Graphical authoring environment

13. What is FME Server?  Share the power of FME across the enterprise.  Use the same FME Engine that powers FME Desktop  Transform & Share spatial data via web services

14. What FME Server can do for you  Data Distribution  Data Download Service  Live Data Streams  Data Streaming Service  Upload and Validation  Data Upload Service  Centralize Data Transformation  Job Submitter Service  Other Services  Scheduling Service  Notification Services

15. The Power of Now  Real time data processing  Sensors and “The Internet of Things”  Mobile Platforms  Event-driven architecture

16. Thank You!  Questions?  For more information:  www.safe.com

Editor's Notes

The power of the FME platform has made it the dominant technology for spatial data transformation. Today FME isused in the spatial applications of leading vendors and by tens of thousands of customers worldwide across many industries in 116 countries. For example, FME is the technology behind esri’s ArcGIS data interoperability extension. It also powers the format reading and writing in Pitney Bowes MapInfo Professional.
FME is available in a desktop and server solution. (Very fast slide).
Data model problem = schema mapperFormats: ArcGIS & XMLData Models: Electric Office & IEC61970There are BIG differences in these data representations
FME Desktop is designed to help people access spatial data in the precise way they need it. It cuts through repetitive, time-consuming conversion processes and really complex data issues to let users get right at their data.
ATTRIBUTEAdd, remove, or rename attributes Edit attribute data types Merge and/or divide different data layers/classes Join database attributes to feature geometryGEOMETRICAdd notes?RASTERExamples – Mosaics, Raster and Point Cloud merging
DATA MODELThe key to all data translations is in the data transformation. Schema is front and centre and the schema varies depending on how the data is being presented – GIS vs. CAD, or perhaps who owns the data, production database vs. public database. Often there are different GIS applications for managing facilities and landbase and the data is exchanged on a regular basis. Not every detail of the facilities data model needs to be exported to the landbase application. Or you may need to export the data to an EMS or DMS. In the case of Smallworld we often have to transform to or from the complex multiple geometries.Moving data out of a legacy system can also require detailed data restructuringCOORDINATE SYSTEMFirst problem people that are moving data hit that’s universalWW coverage for coordinate systemsUse visualizers to show differences in coordinate systems (vector, raster, 3D)
FME® Server is a scalable data transformation platform that enables spatial data managers to quickly meet diverse data access requirements. The platform offers flexible spatial data services that can help you validate, load and share large volumes of data so people can access it - where, when and how they need to. - scalable data loading and conversion - flexible spatial data sharing

FME Overview

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to FME Overview

Similar to FME Overview (7)

More from Safe Software

More from Safe Software (20)

FME Overview

Editor's Notes