Spatial ETL For Web Services-Based Data Sharing

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Spatial ETL is a process that extracts, transforms, and loads spatial data to enable data sharing through web services. It supports various spatial data formats and sources. Spatial ETL can transform and integrate data from multiple sources into a single data model and output format. It then loads and publishes the data to make it available through web services for use in applications and by consumers on demand. Spatial ETL plays a key role in enabling organizations to leverage web services and share their spatial data.

Using Spatial ETL for Web Services-Based Data Sharing Don Murray - Safe Software Inc.

Overview What is Spatial ETL? Spatial ETL Supported Formats Spatial ETL Enabling Services Based Data Sharing Top 5 List of Spatial ETL and web services? Conclusion Slide

What is Spatial ETL? E xtract T ransform L oad

Transform Restructure data models and schemas Geometry – surfaces, solids, meshes, CSGs, b-reps Attributes - schemas Coordinate systems and projections Textures Single/double precision

Transform Integrate data from multiple sources into a single data model and new output format Example: Raster + Vector + CAD = 3D Data Model

Load Make the data available where, when and how it is needed. One time data loading Automated data processing On-the-fly web access

Spatial ETL Supported Data Circa 1995 Slide Spatial ETL

Spatial ETL Supported Data Circa 2009 Slide

ESRI JSON GeoRSS/RSS Feed GeoJSON GML KML * (Google Earth/ ArcGIS Explorer,…) OGC WFS, WMS, WCS, CSW, … Common GeoWeb Formats/Protocols

Common GeoWeb Applications ArcGIS Explorer Bing Maps Google Earth/ Maps OpenLayers Twitter, WKTweet (and other Social Networking Apps)

How Spatial ETL enables Services-Based Data Sharing Slide

#1 – Spatial ETL Behind the Scenes Slide Database loading

#1 – Spatial ETL Behind the Scenes Slide Raster Tile Generation

#2 – Spatial ETL and Data Download You choose the front-end! ArcGIS Server Integration Google Maps Integration Slide

#3 – Spatial ETL and Data Validation Slide

#3 – Spatial ETL and Data Validation Slide Problem Utility workers are out during the day collecting data. Historically data validation is done overnight. Data issues means another trip to the site.

#3 – Spatial ETL and Data Validation Slide Solution Spatial ETL Server technology enables users to validate data from the field.

#4 - Spatial ETL and MetaData Problem As more data becomes available on the web metadata becomes more important. Spatial ETL and MetaData Metadata is simply another type of data for Spatial ETL Technology Solution Use Spatial ETL Technology to publish data and associated metadata to the web. Use Spatial ETL technology to retrieve metadata and data.

#5 Spatial ETL Consuming Web Services Problem: The number of web services is growing quickly. Spatial ETL makes it easy to leverage services in your applications.

Spatial ETL for fun! Data Streaming Problem Celebrities are the single biggest threat to our children today.  We need to keep these people away from our children.

Spatial ETL for Fun! Data Streaming Resources We bought them all nice fashionable ankle bracelets which they love! What they don’t know is that the purse has an embedded GPS device! Solution Use Spatial ETL to deliver location data to users!

Conclusion Spatial ETL is about moving data so that users can exploit power of other tools Transformation is the key. Deliver information needed not just raw data. Spatial ETL plays both a consumer and supporting role for web services. Slide

Thanks for your attending! For more info visit www.safe.com Or contact me Don Murray Email: [email_address] Twitter: donatsafe Blog: blog.safe.com

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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

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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.

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

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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

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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

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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

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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

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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

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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

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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.

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Spatial ETL For Web Services-Based Data Sharing

1. Using Spatial ETL for Web Services-Based Data Sharing Don Murray - Safe Software Inc.

2. Overview What is Spatial ETL? Spatial ETL Supported Formats Spatial ETL Enabling Services Based Data Sharing Top 5 List of Spatial ETL and web services? Conclusion Slide

3. What is Spatial ETL?

4. What is Spatial ETL? E xtract T ransform L oad

5. Extract

6. Extract

7. Transform

8. Transform Restructure data models and schemas Geometry – surfaces, solids, meshes, CSGs, b-reps Attributes - schemas Coordinate systems and projections Textures Single/double precision

9. Transform Integrate data from multiple sources into a single data model and new output format Example: Raster + Vector + CAD = 3D Data Model

10. Load

11. Load Make the data available where, when and how it is needed. One time data loading Automated data processing On-the-fly web access

12. Spatial ETL Brings Data to Applications

13. Spatial ETL In Action

14. Spatial ETL Supported Data Circa 1995 Slide Spatial ETL

15. Spatial ETL Supported Data Circa 2009 Slide

16. Spatial ETL Data Sources

17. ESRI JSON GeoRSS/RSS Feed GeoJSON GML KML * (Google Earth/ ArcGIS Explorer,…) OGC WFS, WMS, WCS, CSW, … Common GeoWeb Formats/Protocols

18. Common GeoWeb Applications ArcGIS Explorer Bing Maps Google Earth/ Maps OpenLayers Twitter, WKTweet (and other Social Networking Apps)

19. How Spatial ETL enables Services-Based Data Sharing Slide

20. #1 – Spatial ETL Behind the Scenes Slide Database loading

21. #1 – Spatial ETL Behind the Scenes Slide Raster Tile Generation

22. #2 – Spatial ETL and Data Download You choose the front-end! ArcGIS Server Integration Google Maps Integration Slide

23. #3 – Spatial ETL and Data Validation Slide

24. #3 – Spatial ETL and Data Validation Slide Problem Utility workers are out during the day collecting data. Historically data validation is done overnight. Data issues means another trip to the site.

25. #3 – Spatial ETL and Data Validation Slide Solution Spatial ETL Server technology enables users to validate data from the field.

26. #4 - Spatial ETL and MetaData Problem As more data becomes available on the web metadata becomes more important. Spatial ETL and MetaData Metadata is simply another type of data for Spatial ETL Technology Solution Use Spatial ETL Technology to publish data and associated metadata to the web. Use Spatial ETL technology to retrieve metadata and data.

27. #5 Spatial ETL Consuming Web Services Problem: The number of web services is growing quickly. Spatial ETL makes it easy to leverage services in your applications.

28. Spatial ETL for fun! Data Streaming Problem Celebrities are the single biggest threat to our children today.  We need to keep these people away from our children.

29. Spatial ETL for Fun! Data Streaming Resources We bought them all nice fashionable ankle bracelets which they love! What they don’t know is that the purse has an embedded GPS device! Solution Use Spatial ETL to deliver location data to users!

30. Simple Real World Data Streaming

31. Conclusion Spatial ETL is about moving data so that users can exploit power of other tools Transformation is the key. Deliver information needed not just raw data. Spatial ETL plays both a consumer and supporting role for web services. Slide

32. Thanks for your attending! For more info visit www.safe.com Or contact me Don Murray Email: [email_address] Twitter: donatsafe Blog: blog.safe.com

Editor's Notes

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Use this to explain what spatial ETL is – it helps connect the spatial data that is stored out there in many formats and systems with the applications and users that need them.

Spatial ETL For Web Services-Based Data Sharing

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