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IoT Talks Vienna May 2016:
IoT & Big Data
CC-BY-4.0 IoT Austria - The Austrian Internet of Things Network
The new CGIAR Platforms: Excellence
in Breeding and BigData
CIMMYT, El Batán 2018. Photographer: CIMMYT/ Alfonso Cortés
IoT Talks Vienna May 2016:
IoT & Big Data
CC-BY-4.0 IoT Austria - The Austrian Internet of Things Network
IoT Talks Vienna May 2016:
IoT & Big Data
CC-BY-4.0 IoT Austria - The Austrian Internet of Things Network
ZoomCharts at DevClub.lv: Developing a Javascript SDK
On January 15, 2015, ZoomCharts Co-Founder and CTO Viesturs Zariņš presented at DevClub.lv - a community of Latvian IT specialists that gather monthly and host free talks, presentations, and events to allow the local IT community to share knowledge, network, and communicate. Zariņš discussed the unique challenges faced in developing JavaScript SDK.
Here is a brief overview of his PowerPoint presentation on ZoomCharts, the world’s most interactive data visualization software that will support all your data presentation needs with incredible speed.
What is ZoomCharts?
What defines ZoomCharts advanced data visualization software? It is NOT another HTML5 charts library. It is:
- Interactive
- Fast
- Touch enabled
- Supports big data
A long time ago
DOS 6.2 allowed for:
- 320x240x8bpp
- Direct access to pixels on screen
- Assembler for performance
Today, the Web has finally caught up in the graphics department. Now, we have access to:
- Multiple browsers and rendering technologies
- Multiple resolutions
- Performance that varies by browser and device
Development setup:
- We write in JavaScript
- Commit to GitHub
- Build system in JavaScript
- Debug in Chrome
- Run automated tests
- Like WebStorm (and Vim)
Graphics:
Canvas (fast)
SVG (slow)
WebGL (>50%)
Interactive animations:
Zoom in and out of the graph, drag and drop data, all with your mouse or trackpad.
Graceful degradation:
High FPS (frames per second) lets you scale graphics with low image degradation.
Third party libraries:
- Raphael
- Hammer.js
- Leaflet
- Moment.js
Challenges:
- Responsive design: layouts can shift and look nice on desktop screens vs. not so nice on vertical, mobile screens
- Big screen resolutions: uses devicePixelRatio for sharp rendering, but no hardware acceleration beyond 2048x2048
- Safari compatibility: with 100% CPU, input events are blocked and browser locks up; strange code offers fixes
- HTML on canvas: DOM is slow; basic HTML markup must be parsed and rendered manually; text caching helps
Support:
- Process: Trialïƒ Supportïƒ Buy
- 1 day issue resolution
- #1 Tell me what I did wrong
- #2 Can you do…
Testing:
- Automated tests on every GIT push
Automatically:
- Compare images
- Record performance
- View errors in console
Interactive testing:
- Next step: record and playback
BrowserStack:
- Interactive mode
- Automated: Selenium API
Debugging:
Chrome Developer tools (F12)
- Debugging
- Profiling
- Timeline
Remote debugging available: developer.chrome.com/devtools/docs/remote-debugging
Future:
- More charts
- Extension API
- Memory allocation tracking
- WebGL
We are looking for statically-typed language:
- Error checking
- Performance
- Superior minification
- Easy to write and read
- Easy to call from JS
Building
Custom build script:
- Compile
- Minify
- Extract documentation
- Embed customer data
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #interactive #data #interactivedata #datavisualization #interactivedatavisualization #chart #graph #charts #graphs #Javascript #JavascriptSDK #DevClubIV #Latvia #PowerPoint #PowerPointpresentation #fast #bigdata
ZoomCharts at DevClub.lv: Developing a Javascript SDK
On January 15, 2015, ZoomCharts Co-Founder and CTO Viesturs Zariņš presented at DevClub.lv - a community of Latvian IT specialists that gather monthly and host free talks, presentations, and events to allow the local IT community to share knowledge, network, and communicate. Zariņš discussed the unique challenges faced in developing JavaScript SDK.
Here is a brief overview of his PowerPoint presentation on ZoomCharts, the world’s most interactive data visualization software that will support all your data presentation needs with incredible speed.
What is ZoomCharts?
What defines ZoomCharts advanced data visualization software? It is NOT another HTML5 charts library. It is:
- Interactive
- Fast
- Touch enabled
- Supports big data
A long time ago
DOS 6.2 allowed for:
- 320x240x8bpp
- Direct access to pixels on screen
- Assembler for performance
Today, the Web has finally caught up in the graphics department. Now, we have access to:
- Multiple browsers and rendering technologies
- Multiple resolutions
- Performance that varies by browser and device
Development setup:
- We write in JavaScript
- Commit to GitHub
- Build system in JavaScript
- Debug in Chrome
- Run automated tests
- Like WebStorm (and Vim)
Graphics:
Canvas (fast)
SVG (slow)
WebGL (>50%)
Interactive animations:
Zoom in and out of the graph, drag and drop data, all with your mouse or trackpad.
Graceful degradation:
High FPS (frames per second) lets you scale graphics with low image degradation.
Third party libraries:
- Raphael
- Hammer.js
- Leaflet
- Moment.js
Challenges:
- Responsive design: layouts can shift and look nice on desktop screens vs. not so nice on vertical, mobile screens
- Big screen resolutions: uses devicePixelRatio for sharp rendering, but no hardware acceleration beyond 2048x2048
- Safari compatibility: with 100% CPU, input events are blocked and browser locks up; strange code offers fixes
- HTML on canvas: DOM is slow; basic HTML markup must be parsed and rendered manually; text caching helps
Support:
- Process: Trialïƒ Supportïƒ Buy
- 1 day issue resolution
- #1 Tell me what I did wrong
- #2 Can you do…
Testing:
- Automated tests on every GIT push
Automatically:
- Compare images
- Record performance
- View errors in console
Interactive testing:
- Next step: record and playback
BrowserStack:
- Interactive mode
- Automated: Selenium API
Debugging:
Chrome Developer tools (F12)
- Debugging
- Profiling
- Timeline
Remote debugging available: developer.chrome.com/devtools/docs/remote-debugging
Future:
- More charts
- Extension API
- Memory allocation tracking
- WebGL
We are looking for statically-typed language:
- Error checking
- Performance
- Superior minification
- Easy to write and read
- Easy to call from JS
Building
Custom build script:
- Compile
- Minify
- Extract documentation
- Embed customer data
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #interactive #data #interactivedata #datavisualization #interactivedatavisualization #chart #graph #charts #graphs #Javascript #JavascriptSDK #DevClubIV #Latvia #PowerPoint #PowerPointpresentation #fast #bigdata
ZoomCharts at DevClub.lv: Developing a Javascript SDK
On January 15, 2015, ZoomCharts Co-Founder and CTO Viesturs Zariņš presented at DevClub.lv - a community of Latvian IT specialists that gather monthly and host free talks, presentations, and events to allow the local IT community to share knowledge, network, and communicate. Zariņš discussed the unique challenges faced in developing JavaScript SDK.
Here is a brief overview of his PowerPoint presentation on ZoomCharts, the world’s most interactive data visualization software that will support all your data presentation needs with incredible speed.
What is ZoomCharts?
What defines ZoomCharts advanced data visualization software? It is NOT another HTML5 charts library. It is:
- Interactive
- Fast
- Touch enabled
- Supports big data
A long time ago
DOS 6.2 allowed for:
- 320x240x8bpp
- Direct access to pixels on screen
- Assembler for performance
Today, the Web has finally caught up in the graphics department. Now, we have access to:
- Multiple browsers and rendering technologies
- Multiple resolutions
- Performance that varies by browser and device
Development setup:
- We write in JavaScript
- Commit to GitHub
- Build system in JavaScript
- Debug in Chrome
- Run automated tests
- Like WebStorm (and Vim)
Graphics:
Canvas (fast)
SVG (slow)
WebGL (>50%)
Interactive animations:
Zoom in and out of the graph, drag and drop data, all with your mouse or trackpad.
Graceful degradation:
High FPS (frames per second) lets you scale graphics with low image degradation.
Third party libraries:
- Raphael
- Hammer.js
- Leaflet
- Moment.js
Challenges:
- Responsive design: layouts can shift and look nice on desktop screens vs. not so nice on vertical, mobile screens
- Big screen resolutions: uses devicePixelRatio for sharp rendering, but no hardware acceleration beyond 2048x2048
- Safari compatibility: with 100% CPU, input events are blocked and browser locks up; strange code offers fixes
- HTML on canvas: DOM is slow; basic HTML markup must be parsed and rendered manually; text caching helps
Support:
- Process: Trialïƒ Supportïƒ Buy
- 1 day issue resolution
- #1 Tell me what I did wrong
- #2 Can you do…
Testing:
- Automated tests on every GIT push
Automatically:
- Compare images
- Record performance
- View errors in console
Interactive testing:
- Next step: record and playback
BrowserStack:
- Interactive mode
- Automated: Selenium API
Debugging:
Chrome Developer tools (F12)
- Debugging
- Profiling
- Timeline
Remote debugging available: developer.chrome.com/devtools/docs/remote-debugging
Future:
- More charts
- Extension API
- Memory allocation tracking
- WebGL
We are looking for statically-typed language:
- Error checking
- Performance
- Superior minification
- Easy to write and read
- Easy to call from JS
Building
Custom build script:
- Compile
- Minify
- Extract documentation
- Embed customer data
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #interactive #data #interactivedata #datavisualization #interactivedatavisualization #chart #graph #charts #graphs #Javascript #JavascriptSDK #DevClubIV #Latvia #PowerPoint #PowerPointpresentation #fast #bigdata
EFI Planted Forests Facility Summer School, Palencia’18
Organised by iuFOR and EFI's Planted Forest Facility (formerly EFIATLANTIC)
Palencia (España)
Photo by Pilar Valbuena/iuFOR
Hosted by iuFOR ( Universidad de Valladolid & INIA) and Escuela Técnica Superior de IngenierÃas Agrarias, Universidad de Valladolid
Target public:
Graduate students (Masters and PhD) in forest sciences, forest geomatics or data science
Practitioners and IT staff from forest companies, administrations and R&D institutes
Target outcomes:
By the end of the course the participants will have a comprehensive overview of forest data management and analysis including relevant R skills to develop forest models at stand and tree levels and a foundation on cloud simulation of forest systems.
Rationale:
Forest management is facing different challenges due to the magnitude of the current environmental problems (climate change, invasive species, biodiversity crisis, etc.) and the growing demand for goods and services by the society.
Furthermore, the current Knowledge Society paradigm requires professionals to integrate different skills into their specific domain effectively; for example, the management of big databases, including analysis, modeling and decision making.
Although there are some local initiatives such as the DataForest MSc programme at University of Valladolid this specific type of education and training in data management and analysis is not available to forest managers and forest scientists. In general personnel involved in forest management and its environs have a good working knowledge of forest management systems and methods.
However this knowledge could be further enhanced by skills in other complimentary fields, such as database management, computer programming, data analysis, decision making through operational research techniques, geographic information systems and remote sensing.
More information on iuFOR, please visit sostenible.palencia.uva.es
More information on Máster en Gestión Forestal Basada en Ciencia de Datos, please visit sostenible.palencia.uva.es/content/master-en-gestion-fore...
If you use one of our photos, please credit it accordingly and let us know.
You can reach us through our Flickr account or at: instituto@forest.uva.es
IoT Talks Vienna May 2016:
IoT & Big Data
CC-BY-4.0 IoT Austria - The Austrian Internet of Things Network
IoT Talks Vienna May 2016:
IoT & Big Data
CC-BY-4.0 IoT Austria - The Austrian Internet of Things Network
IoT Talks Vienna May 2016:
IoT & Big Data
CC-BY-4.0 IoT Austria - The Austrian Internet of Things Network
Itâs no secret that we live in a data driven world: a world where technology has allowed us to get to the point where, according to IBM, more than 90% of the worldâs data was created in the last two years alone. It is a phenomenon that has led to the emergence of data science and data scientists, the increased need for statisticians, and experts in informational design such as Edward Tufte, fellow of the American Statistical Organization.
The problem is that the massive amount of data that we generate is difficult to keep up with, access, comprehend, and thus effectively use to our benefit.
The Purpose of Data Visualization:
Emerging heavily as a result within the last few years are data visualization tools, designed to help us work more effectively with data.
Most of us interpret and understand information best visually and thus information visualization is often key to true comprehension. Data visualization is, as its name suggests, a visual representation of data, its main benefits being in making complex data more accessible, interpretable, and presentable. It is closely related to the fields of information visualization, information graphics, scientific visualization, and statistical graphics.
David McCandless, London based author, data journalist, information designer, and founder of the website Information is Beautiful acknowledges that, in an age where we are often plagued by âinformation overload,â in addition to looking really cool, visualizing information allows us to see patterns and connections that matter and thus design information to make more sense, to focus only on the information thatâs important, and to tell stories.
Challenges and Limitations of Data Visualization Tools:
The challenge in not only recognizing the value in big data, but in actually making use of it, lies in the ability to effectively understand it. There are some obvious limitations when it comes to using data visualization tools to decode your data and actually benefit from the results.
The original ZoomCharts team recognized these limitations. There was no data visualization library available where data could be explored interactively on all modern devices. What was out there was either data visualization tools where data could be displayed on modern devices in static visualizations, or where it could be displayed interactively, but not on all modern devices.
How ZoomCharts Aimed to Solve These Issues:
The story of how ZoomCharts got started began with recognizing the limitations of simply working with current technology, and not anticipating the needs and desires arising with the advancement of newer and future technologies. The teamâs focus thus became creating charts and graphs that would be supported by the technology of tomorrow. The resulting software:
⢠Is 100% interactive and responsive, allowing users to see only the information they need, and drill down further into the data when necessary
⢠Is able to support massive data sets
⢠Works with any modern device, including tablets, phones, and other mobile devices that use touch screens, giving users the ability to tap, swipe, and pinch their way to exploring the intricacies of their data
⢠Performs at incredibly fast speeds, with no lag or waiting time involved when making changes to data presentation, even with big data sets
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The worldâs most interactive data visualization software
#zoomcharts #interactive #data #visualization #charts #graphs #bigdata #dataviz #datadriven #EdwardTufte #London #DavidMcCandless #InformationisBeautiful #responsive #touchscreen #fast #speed #datajournalists #information #informationdesigners #informationdesign #statisticians #datascience #datascientists
www.learntek.org/big-data-hadoop-interview-questions-answ...
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses. We are dedicated to designing, developing and implementing training programs for students, corporate employees and business professional.