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Reliable data is the foundation of geospatial work. But gathering it shouldn't require expensive, time-consuming site visits. ⏱️ Google Earth’s data layers just went global. We’ve massively expanded access to geospatial data with global coverage of popular layers and adding entirely new data layers: 🌊 Inundation history (1999-2020) 🚴... show more

Google Earth

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17,125 просмотров • 3 месяцев назад •via X (Twitter)

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Beautiful new raster data layers are now available on Google Earth’s intuitive, no-code canvas. 🗺️👉 With the analytical power of Google Earth Engine directly integrated into Google Earth, geospatial analysis is as easy as point and click. Rolling out over the coming days, you will have access to ten new raster layers from Earth Engine's iconic data catalog, including: • Slope • Aspect • Land cover • and more It's never been easier to quickly combine raster data, vector data, imagery, and your own data to save time and make better decisions. Explore these new data layers, now.

Beautiful new raster data layers are now available on Google Earth’s intuitive, no-code canvas. 🗺️👉 With the analytical power of Google Earth Engine directly integrated into Google Earth, geospatial analysis is as easy as point and click. Rolling out over the coming days, you will have access to ten new raster layers from Earth Engine's iconic data catalog, including: • Slope • Aspect • Land cover • and more It's never been easier to quickly combine raster data, vector data, imagery, and your own data to save time and make better decisions. Explore these new data layers, now.

Google Earth

15,497 просмотров • 3 месяцев назад

Google Earth's data catalog is expanding. 🌍 We've rolled out new data layers to Australia, Western Europe, and the Nordics. Access critical layers like our digital elevation model, EV infrastructure, population density, heat resilience layers, and more. Make high-stakes decisions with the confidence of the richest, freshest geospatial models and imagery in the world at your fingertips.

Google Earth's data catalog is expanding. 🌍 We've rolled out new data layers to Australia, Western Europe, and the Nordics. Access critical layers like our digital elevation model, EV infrastructure, population density, heat resilience layers, and more. Make high-stakes decisions with the confidence of the richest, freshest geospatial models and imagery in the world at your fingertips.

Google Earth

12,152 просмотров • 6 месяцев назад

We are proud to announce that Google Earth’s data layer coverage has expanded globally 🌍 Learn more 👉 Every high-stakes project happens somewhere. But getting context about that "somewhere" shouldn't require a scavenger hunt. 🌍 Today, we're bringing massive data improvements to Google Earth so you can stop wrangling data and start making decisions: 1️⃣ Global data layer expansion 2️⃣ Google Earth Engine raster data layers 3️⃣ Ask Google Earth data layer integration (Note: Ask Google Earth is currently in Experimental for US web users)

We are proud to announce that Google Earth’s data layer coverage has expanded globally 🌍 Learn more 👉 Every high-stakes project happens somewhere. But getting context about that "somewhere" shouldn't require a scavenger hunt. 🌍 Today, we're bringing massive data improvements to Google Earth so you can stop wrangling data and start making decisions: 1️⃣ Global data layer expansion 2️⃣ Google Earth Engine raster data layers 3️⃣ Ask Google Earth data layer integration (Note: Ask Google Earth is currently in Experimental for US web users)

Google Earth

34,950 просмотров • 3 месяцев назад

Streamline early-stage workflows with new terrain analysis data layers. ⛰️ Use our new digital elevation model to visualize slope and elevation constraints directly on our 3D canvas. Whether you are trying to speed up site assessment or ensure site feasibility, you can now analyze terrain and validate reality remotely. This is just one of countless powerful data layers now available to help you make better decisions, faster.

Streamline early-stage workflows with new terrain analysis data layers. ⛰️ Use our new digital elevation model to visualize slope and elevation constraints directly on our 3D canvas. Whether you are trying to speed up site assessment or ensure site feasibility, you can now analyze terrain and validate reality remotely. This is just one of countless powerful data layers now available to help you make better decisions, faster.

Google Earth

14,002 просмотров • 6 месяцев назад

Acquiring foundational site details usually means traveling to sites, finding utility access points, and tracking down disparate data sources. Google Earth is changing the way professionals work. New AI-powered data layers in Google Earth pull from billions of Google Street View images to map infrastructure assets like fire hydrants, storm drains, and more. Plus, when combined with new building footprints and land parcels you have powerful, time-saving data a click away. Inspecting utility access and site constraints from anywhere is now even easier with Google Earth. These layers are now available for Professional & Professional Advanced customers on web and Android, with coverage expanding over the coming weeks.

Acquiring foundational site details usually means traveling to sites, finding utility access points, and tracking down disparate data sources. Google Earth is changing the way professionals work. New AI-powered data layers in Google Earth pull from billions of Google Street View images to map infrastructure assets like fire hydrants, storm drains, and more. Plus, when combined with new building footprints and land parcels you have powerful, time-saving data a click away. Inspecting utility access and site constraints from anywhere is now even easier with Google Earth. These layers are now available for Professional & Professional Advanced customers on web and Android, with coverage expanding over the coming weeks.

Google Earth

76,341 просмотров • 1 месяц назад

Today, we’re thrilled to announce the launch of Shapefile and 3D model import support on Google Earth. Plus, we’ve also added elevation profiles to the measure tool just for… good measure! You’ve made it clear. You want to be able to bring more of your data and models to Google Earth’s real-world canvas. We're excited to take the next step in delivering on that promise with these new features: 🔶 Shapefiles (SHP): Render industry-standard geospatial data as performant, cloud-native layers. 💡 3D Models (GLB): Place custom architectural mock-ups, massings, and more in a visually rich context. 🗻 Elevation Profiles: View detailed terrain data in the measure tool you already know and love. These new features are live now on Google Earth!

Today, we’re thrilled to announce the launch of Shapefile and 3D model import support on Google Earth. Plus, we’ve also added elevation profiles to the measure tool just for… good measure! You’ve made it clear. You want to be able to bring more of your data and models to Google Earth’s real-world canvas. We're excited to take the next step in delivering on that promise with these new features: 🔶 Shapefiles (SHP): Render industry-standard geospatial data as performant, cloud-native layers. 💡 3D Models (GLB): Place custom architectural mock-ups, massings, and more in a visually rich context. 🗻 Elevation Profiles: View detailed terrain data in the measure tool you already know and love. These new features are live now on Google Earth!

Google Earth

324,765 просмотров • 2 месяцев назад

See your data on Google Earth's real-world canvas. You can now import large-scale KML and GeoJSON datasets—up to billions of features—directly into Google Earth. Don’t just view your data; validate it against reality. Customize styling, create custom data layers, and uncover new insights to create visualizations that drive decisions. Take advantage of increased storage and file size quotas in our professional plans to securely overlay your proprietary intelligence atop our trusted imagery and data layers to create a single source of truth.

See your data on Google Earth's real-world canvas. You can now import large-scale KML and GeoJSON datasets—up to billions of features—directly into Google Earth. Don’t just view your data; validate it against reality. Customize styling, create custom data layers, and uncover new insights to create visualizations that drive decisions. Take advantage of increased storage and file size quotas in our professional plans to securely overlay your proprietary intelligence atop our trusted imagery and data layers to create a single source of truth.

Google Earth

25,735 просмотров • 5 месяцев назад

🚨 New Tutorial Alert 🚨 Rendering Google Earth Engine & Cloud-Optimized GeoTIFF Tiles in 3D with Google Earth In this tutorial, I demonstrate how to visualize Google Earth Engine tile layers and Cloud Optimized GeoTIFFs (COGs) directly in Google Earth’s 3D environment. This approach lets you bring together high-resolution historical imagery and Street View data into one powerful platform. It’s a simple but effective way to make your geospatial data more accessible—just like sharing a Google Doc link. 🔗 Notebook: ▶️ Video: #geospatial #googleearth #dataviz #earthengine

🚨 New Tutorial Alert 🚨 Rendering Google Earth Engine & Cloud-Optimized GeoTIFF Tiles in 3D with Google Earth In this tutorial, I demonstrate how to visualize Google Earth Engine tile layers and Cloud Optimized GeoTIFFs (COGs) directly in Google Earth’s 3D environment. This approach lets you bring together high-resolution historical imagery and Street View data into one powerful platform. It’s a simple but effective way to make your geospatial data more accessible—just like sharing a Google Doc link. 🔗 Notebook: ▶️ Video: #geospatial #googleearth #dataviz #earthengine

Qiusheng Wu

16,391 просмотров • 10 месяцев назад

The budget is set in the boardroom, but it can break on the ground if site assessments are overlooked. 📉 Developers are saving time and derisking investments by evaluating sites without leaving their desk. Try it yourself ➡️ Protect your time and budget with powerful data layers and imagery like: Zoning data: Is the site available for our project? Terrain layers: Does the slope require expensive grading? Rich imagery: Can we confirm our analysis without a site visit? #GIS #BIM #Sustainability #Agriculture

The budget is set in the boardroom, but it can break on the ground if site assessments are overlooked. 📉 Developers are saving time and derisking investments by evaluating sites without leaving their desk. Try it yourself ➡️ Protect your time and budget with powerful data layers and imagery like: Zoning data: Is the site available for our project? Terrain layers: Does the slope require expensive grading? Rich imagery: Can we confirm our analysis without a site visit? #GIS #BIM #Sustainability #Agriculture

Google Earth

12,042 просмотров • 4 месяцев назад

GeoLibre v0.9.0 is out. GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens. This release turns GeoLibre into a far more complete analysis environment. Highlights: - New cloud data panels for Microsoft Planetary Computer and Google Earth Engine, plus an Overture Maps plugin and federal Web Services plugins, including NASA Earthdata, USGS National Map, EPA EnviroAtlas, FEMA NFHL - Accessing 1000+ NASA Earthdata layers with a few simple clicks - Time Slider plugin for animating time series raster and vector data - SQL Workspace: run DuckDB Spatial SQL directly against loaded layers, local files, and remote URLs, with query history and one-click "add results to map" - Conversion tools: Vector to GeoParquet, CSV to GeoParquet, and Raster to COG, running in the browser with DuckDB-WASM - Controls menu with Measure, Bookmark, Minimap, View State, and Print Everything is open source. Try it in your browser, install the desktop app, or self-host it. Live demo: GitHub: Feedback and contributions are welcome. #GIS #Geospatial #OpenSource #MapLibre #DuckDB #WebGIS #GeoLibre

GeoLibre v0.9.0 is out. GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens. This release turns GeoLibre into a far more complete analysis environment. Highlights: - New cloud data panels for Microsoft Planetary Computer and Google Earth Engine, plus an Overture Maps plugin and federal Web Services plugins, including NASA Earthdata, USGS National Map, EPA EnviroAtlas, FEMA NFHL - Accessing 1000+ NASA Earthdata layers with a few simple clicks - Time Slider plugin for animating time series raster and vector data - SQL Workspace: run DuckDB Spatial SQL directly against loaded layers, local files, and remote URLs, with query history and one-click "add results to map" - Conversion tools: Vector to GeoParquet, CSV to GeoParquet, and Raster to COG, running in the browser with DuckDB-WASM - Controls menu with Measure, Bookmark, Minimap, View State, and Print Everything is open source. Try it in your browser, install the desktop app, or self-host it. Live demo: GitHub: Feedback and contributions are welcome. #GIS #Geospatial #OpenSource #MapLibre #DuckDB #WebGIS #GeoLibre

Qiusheng Wu

42,102 просмотров • 1 месяц назад

Introducing the new UNESCO 🏛️ #Education #Sciences #Culture 🇺🇳 Sites Navigator—a powerful new digital platform designed for the exploration, analysis, and monitoring of UNESCO-designated sites worldwide. This interactive tool provides verified, geospatial data on #WorldHeritage properties, #BiosphereReserves, and #GlobalGeoparks. With advanced cartographic features, users can explore site boundaries and information, measure and annotate directly on the map, import/export shapefiles, and access reliable data to support research and conservation. Funded by the Flanders, the platform is strengthening capacities for effective and sustainable heritage management globally. Discover how geospatial technology is transforming heritage conservation. Start exploring today: Flanders DFA #47WHC

Introducing the new UNESCO 🏛️ #Education #Sciences #Culture 🇺🇳 Sites Navigator—a powerful new digital platform designed for the exploration, analysis, and monitoring of UNESCO-designated sites worldwide. This interactive tool provides verified, geospatial data on #WorldHeritage properties, #BiosphereReserves, and #GlobalGeoparks. With advanced cartographic features, users can explore site boundaries and information, measure and annotate directly on the map, import/export shapefiles, and access reliable data to support research and conservation. Funded by the Flanders, the platform is strengthening capacities for effective and sustainable heritage management globally. Discover how geospatial technology is transforming heritage conservation. Start exploring today: Flanders DFA #47WHC

UNESCO 🏛️ #Education #Sciences #Culture 🇺🇳

11,590 просмотров • 1 год назад

A new roadmap. A New Era of The Graph 🗺️ The Graph’s new roadmap introduces a bold and transformative vision for the future of The Graph! The new R&D roadmap details an expansion of The Graph’s ability to serve web3’s growing demands for data access, while better serving builders and protocol contributors, and improving the overall simplicity and efficiency of the network. After three years of serving builders, The Graph Network is mature, reliable, and performant. The Graph ecosystem has followed through on its commitment to democratize access to blockchain data while also establishing subgraphs as a web3 standard. But The Graph’s innovation journey doesn’t end there. The New Era of The Graph is organized into five core objectives: 1️⃣ World of Data Services: Expanding to provide new data services beyond subgraphs to deliver a rich market of data on the network, serving novel use cases for data scientists and more. This will include more data sources, new query languages, and support for LLMs. 2️⃣ Developer Empowerment: Supporting developers through enhanced DevEx and tooling by introducing streamlined billing, clear pricing models, a new free query plan, and reduced gas fees. A more SaaS-like experience for devs, without compromising on decentralization! 3️⃣ Protocol Evolution & Resiliency: Delivering improvements resulting in a more resilient, flexible, and simple protocol, including updates to delegation. 4️⃣ Optimized Indexer Performance: Boosting network performance with improved Indexer tooling and operational capabilities to deliver increased scalability, reduce costs, and enhanced network reliability. 5️⃣ Interconnected Graph of Data: Creating tools for composable data and a global, organized knowledge graph – interlinking open data and making it easier to build upon. The new roadmap sets in motion an exciting evolution in web3 data infrastructure. In a phased rollout, The Graph will introduce many new features and benefits, including the integration of new data services, new query languages, enhanced developer tooling, improved UX + UI, alongside greater protocol efficiency and resilience. As this new era unfolds, The Graph crystallizes as the connective tissue across the many layers of the web3 stack, evolving into a comprehensive, interwoven graph of data equipped to serve every project dreamt up by web3’s innovators. Read the full announcement linked in the comment below!

A new roadmap. A New Era of The Graph 🗺️ The Graph’s new roadmap introduces a bold and transformative vision for the future of The Graph! The new R&D roadmap details an expansion of The Graph’s ability to serve web3’s growing demands for data access, while better serving builders and protocol contributors, and improving the overall simplicity and efficiency of the network. After three years of serving builders, The Graph Network is mature, reliable, and performant. The Graph ecosystem has followed through on its commitment to democratize access to blockchain data while also establishing subgraphs as a web3 standard. But The Graph’s innovation journey doesn’t end there. The New Era of The Graph is organized into five core objectives: 1️⃣ World of Data Services: Expanding to provide new data services beyond subgraphs to deliver a rich market of data on the network, serving novel use cases for data scientists and more. This will include more data sources, new query languages, and support for LLMs. 2️⃣ Developer Empowerment: Supporting developers through enhanced DevEx and tooling by introducing streamlined billing, clear pricing models, a new free query plan, and reduced gas fees. A more SaaS-like experience for devs, without compromising on decentralization! 3️⃣ Protocol Evolution & Resiliency: Delivering improvements resulting in a more resilient, flexible, and simple protocol, including updates to delegation. 4️⃣ Optimized Indexer Performance: Boosting network performance with improved Indexer tooling and operational capabilities to deliver increased scalability, reduce costs, and enhanced network reliability. 5️⃣ Interconnected Graph of Data: Creating tools for composable data and a global, organized knowledge graph – interlinking open data and making it easier to build upon. The new roadmap sets in motion an exciting evolution in web3 data infrastructure. In a phased rollout, The Graph will introduce many new features and benefits, including the integration of new data services, new query languages, enhanced developer tooling, improved UX + UI, alongside greater protocol efficiency and resilience. As this new era unfolds, The Graph crystallizes as the connective tissue across the many layers of the web3 stack, evolving into a comprehensive, interwoven graph of data equipped to serve every project dreamt up by web3’s innovators. Read the full announcement linked in the comment below!

The Graph

425,326 просмотров • 2 лет назад

Testing the Windy v48 update where forecasts matter most. From polar conditions to your local neighbourhood, this version is about clearer data, smarter layers, and tools you actually use. Whether the weather is extreme or you’re just planning your day. What’s new and what we love: 🌧️ Precipitation type on radar: instantly see rain vs snow 🌙 Sun & Moon position: better timing for outdoor missions, aviation, and photography 🌀 Flow vectors on the radar widget: understand storm movement at a glance 🌊 Wave Power layer: essential insights for surfers and mariners Plus smoother performance, clearer winter forecasts, deeper ocean data, and multiple improvements across the app and widgets. 👉 Update to version 48 and explore the layers yourself.

Testing the Windy v48 update where forecasts matter most. From polar conditions to your local neighbourhood, this version is about clearer data, smarter layers, and tools you actually use. Whether the weather is extreme or you’re just planning your day. What’s new and what we love: 🌧️ Precipitation type on radar: instantly see rain vs snow 🌙 Sun & Moon position: better timing for outdoor missions, aviation, and photography 🌀 Flow vectors on the radar widget: understand storm movement at a glance 🌊 Wave Power layer: essential insights for surfers and mariners Plus smoother performance, clearer winter forecasts, deeper ocean data, and multiple improvements across the app and widgets. 👉 Update to version 48 and explore the layers yourself.

Windy.com

2,046,997 просмотров • 6 месяцев назад

Formula One is one of the most demanding, data-intensive environments in global sport. Every race weekend depends on trusted data flows, secure access and resilient operations across teams, systems and time zones. Our new multi-year partnership with Zscaler will support the team as we continue to modernise the way we operate, enabling secure performance at race speed.

Formula One is one of the most demanding, data-intensive environments in global sport. Every race weekend depends on trusted data flows, secure access and resilient operations across teams, systems and time zones. Our new multi-year partnership with Zscaler will support the team as we continue to modernise the way we operate, enabling secure performance at race speed.

Aston Martin Aramco F1 Team

24,330 просмотров • 19 дней назад

🎁 A New Year’s gift to the geospatial community: a brand-new QGIS plugin that unlocks access to 80+ petabytes of satellite imagery and geospatial datasets with zero coding required. In my first video of 2026, I’m excited to share what might be one of the most powerful QGIS plugins I’ve built so far. This plugin makes it incredibly easy to explore the official Earth Engine Data Catalog and the Awesome GEE Community Catalog directly inside QGIS. With just a few clicks, you can browse massive Earth Engine datasets, visualize them on the map, generate time series from ImageCollections, export data for further analysis, and even convert Earth Engine JavaScript workflows to Python, all without writing a single line of code. If you’ve ever wanted the power of Earth Engine inside QGIS without the learning curve, this plugin is for you. 👉 Download the plugin and follow the full step-by-step video tutorial to get started today: QGIS Plugin Page: GitHub Repository: Video Tutorial: Happy New Year, and I hope this tool helps you do more with geospatial data in 2026 🚀 #QGIS #geospatial #EarthEngine #Python #datascience

Qiusheng Wu

84,918 просмотров • 6 месяцев назад

Nasdaq’s recent move to embrace tokenized stocks and exchange-traded products is part of a global transformation to move all the world’s assets onchain, with Chainlink at the center of this generational paradigm shift. Last week, Chainlink Co-Founder Sergey Nazarov met with U.S. SEC Chairman Paul Atkins (Paul Atkins) to discuss scaling the U.S. tokenized asset economy with highly reliable onchain data, cross-chain interoperability, and automated compliance. Chainlink also recently collaborated with the Intercontinental Exchange (ICE), the parent company of the New York Stock Exchange and a global operator of markets, clearing houses, and financial data services, to bring trusted FX and precious metals data onchain. ICE serves as one of multiple high-quality data providers supporting Chainlink Data Streams. Already trusted by the world’s leading banks, market infrastructure providers, and the majority of DeFi, Chainlink is the industry-standard oracle platform powering the tokenization of the global economy. Watch Nasdaq CEO Adena Friedman discuss their announcement and what it means for the future of tokenized equities ↓

Nasdaq’s recent move to embrace tokenized stocks and exchange-traded products is part of a global transformation to move all the world’s assets onchain, with Chainlink at the center of this generational paradigm shift. Last week, Chainlink Co-Founder Sergey Nazarov met with U.S. SEC Chairman Paul Atkins (Paul Atkins) to discuss scaling the U.S. tokenized asset economy with highly reliable onchain data, cross-chain interoperability, and automated compliance. Chainlink also recently collaborated with the Intercontinental Exchange (ICE), the parent company of the New York Stock Exchange and a global operator of markets, clearing houses, and financial data services, to bring trusted FX and precious metals data onchain. ICE serves as one of multiple high-quality data providers supporting Chainlink Data Streams. Already trusted by the world’s leading banks, market infrastructure providers, and the majority of DeFi, Chainlink is the industry-standard oracle platform powering the tokenization of the global economy. Watch Nasdaq CEO Adena Friedman discuss their announcement and what it means for the future of tokenized equities ↓

Chainlink

127,320 просмотров • 10 месяцев назад

GeoLibre v1.6.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings multi-map layouts, advanced cartographic symbology and labeling, and a one-click way to install external plugins from a zip. What's new in v1.6.0 - Multi-map grid: Split the workspace into a grid of synchronized map views to compare basemaps, layers, or time steps side by side. - Advanced symbology: Style features with a rule-based renderer, proportional symbols, fill patterns, and a built-in marker library. - Label engine: Label vector features by any attribute, with full placement and styling control. - Install plugins from a zip: Add external plugins from an uploaded zip on both desktop and web. - New vector analysis: Movement, space-time, and cell-coverage tools under Processing. - Faster sample data: Ready-to-load example datasets from a dropdown in every Add Data panel. - Place search in the layer panel: Geocode and fly to a location without leaving the Layers panel. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python #Cartography

GeoLibre v1.6.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings multi-map layouts, advanced cartographic symbology and labeling, and a one-click way to install external plugins from a zip. What's new in v1.6.0 - Multi-map grid: Split the workspace into a grid of synchronized map views to compare basemaps, layers, or time steps side by side. - Advanced symbology: Style features with a rule-based renderer, proportional symbols, fill patterns, and a built-in marker library. - Label engine: Label vector features by any attribute, with full placement and styling control. - Install plugins from a zip: Add external plugins from an uploaded zip on both desktop and web. - New vector analysis: Movement, space-time, and cell-coverage tools under Processing. - Faster sample data: Ready-to-load example datasets from a dropdown in every Add Data panel. - Place search in the layer panel: Geocode and fly to a location without leaving the Layers panel. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python #Cartography

Qiusheng Wu

15,293 просмотров • 22 дней назад

We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:

We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:

Andrew Ng

118,937 просмотров • 1 год назад

GeoLibre v1.1 is out! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release builds on the v1.0 foundation with features that make day-to-day mapping smoother: - Attribute table management — rename, delete, hide/show, and reorder fields right in the table, with the layout saved to your project. - Data-driven symbology for Add Vector Layer — single, categorized, graduated, and expression-based styling now applies to maplibre-gl-vector layers. - Atmosphere Effects plugin — a deep-space backdrop, parallax starfield, comets, and a glowing globe halo at low zoom (toggle it from the Controls menu). - Layer panel upgrades — rename layers, open the attribute table, and export straight from the layer actions menu. - Auto Refresh extended to Add Vector Layer URL layers. - In-browser GeoPandas via Pyodide — run the vector tools with no Python sidecar, same results. - Plugin API — external plugins can now render on the host's shared instance via app.getDeckGL(). Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

GeoLibre v1.1 is out! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release builds on the v1.0 foundation with features that make day-to-day mapping smoother: - Attribute table management — rename, delete, hide/show, and reorder fields right in the table, with the layout saved to your project. - Data-driven symbology for Add Vector Layer — single, categorized, graduated, and expression-based styling now applies to maplibre-gl-vector layers. - Atmosphere Effects plugin — a deep-space backdrop, parallax starfield, comets, and a glowing globe halo at low zoom (toggle it from the Controls menu). - Layer panel upgrades — rename layers, open the attribute table, and export straight from the layer actions menu. - Auto Refresh extended to Add Vector Layer URL layers. - In-browser GeoPandas via Pyodide — run the vector tools with no Python sidecar, same results. - Plugin API — external plugins can now render on the host's shared instance via app.getDeckGL(). Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

Qiusheng Wu

20,673 просмотров • 1 месяц назад

Here is a discussion with legendary Fabian 'ryg' Giesen! We talk about his time at demoscene in Germany, transition to US, work at RAD, geospatial data, old and new rendering, crazy engineering proof of concepts at Valve, Silicon Valley history, you name it! Highly technical deep dive! Fabian thanks a lot for joining me! It was a pleasure :)

Here is a discussion with legendary Fabian 'ryg' Giesen! We talk about his time at demoscene in Germany, transition to US, work at RAD, geospatial data, old and new rendering, crazy engineering proof of concepts at Valve, Silicon Valley history, you name it! Highly technical deep dive! Fabian thanks a lot for joining me! It was a pleasure :)

Łukasz | Wookash Podcast

13,094 просмотров • 6 месяцев назад