Since GeoJSON is a standard for storing geographic data in JSON format, it is a best practice to adhere to this format when storing geo-coordinates in Cloudant and CouchDB.
ArchaeoSTOR Map: Publishing archaeological geodata on the webYuma Matsui
http://dx.doi.org/10.1145/2345316.2345355
Modern field science, including archaeology, utilizes a mas- sive amount of digital data captured by state-of-the-art mea- surement instruments. Large archaeological data sets may include images, geospatial data, analytical data, and meta- data. Geospatial information plays a central role in the life cycle of those data; information is collected, organized, and published for analyses and visualization as final output us- ing geospatial data as an index. The web is an ideal place to publish scientific data and promote diverse collaboration, and thus we need a system to publish digital archaeologi- cal data efficiently so that it is also integrated in our data management workflow. In order to realize this goal, we designed and implemented a web-based application named ArcheoSTOR Map, which visualizes and publishes raw ar- chaeological data onto a map.
Integrating Geospatial Data to your ApplicationsIan Panganiban
My presentation in Devcon Summit 2015 about how to integrate spatial data into your applications. A discussion about spatial data types, web tools for adding spatial functionalities in your applications, and other applications that your may consider for development.
Cartaro Workshop at the Geosharing Conferenc in BernUli Müller
The workshops shows the basic usage of Cartaro, the geospatial CMS. These slides give the outline for the live presentation.
In our session we will first illustrate the basic concepts of Cartaro and show some use cases of public as well as internally used sites. During the training we will develop a sample application that shall enable the public to collect local knowledge about potential archaeological sites. We use a default Cartaro installation to start from and will then define the content types needed for the information of interest.
An import of OpenStreetMap data for archaeological sites will form the basis of our own data collection. We will create the maps needed to enter data and other maps that visualize the collected data. Users will be assigned different roles to enable an editorial workflow before data are published. We will also setup
web services that enable others to dynamically read data from our site and integrate them in other applications.
Digital Projects Showcase: Google Earth EngineWesley Porter
Google Earth Engine is a powerful geospatial analysis tool that allows end users to leverage the power of the Cloud to work with big data in remote sensing. While lesser known than its cousin Google Earth, Earth Engine has many advantages for prospective users beyond data visualization including: data manipulation, statistical analysis, and development of custom tools for project specific tasks. Earth Engine maintains a wealth of public datasets for users to work with such as Landsat imagery, Digital Elevation Models, and high-resolution aerial imagery. As part of a USDA funded research project at Middle Tennessee State University, Google Earth Engine was used to collect and process hundreds of Landsat images. These images were used to measure crop growth curves which will aid in the development of crop-land-cover GIS datasets for years in which data is unavailable to stakeholders.
Cartaro is the web mapping platform that brings the power of the best open source geospatial components into a content management system. With Cartaro you are able to set-up and run your own geo-enabled and OGC standards-compliant website with not more than a few clicks. The geospatial components used in Cartaro are PostGIS, GeoServer, GeoWebCache and OpenLayers. All those are managed from within the powerful CMS Drupal.
Cartaro is for organisations and individuals that need to run a light-weight spatial data infrastructure (SDI) without the need for extensive configurations and much individual programming.
Cartaro is also for all websites that focus on CMS features while also having to handle geospatial data.
ArchaeoSTOR Map: Publishing archaeological geodata on the webYuma Matsui
http://dx.doi.org/10.1145/2345316.2345355
Modern field science, including archaeology, utilizes a mas- sive amount of digital data captured by state-of-the-art mea- surement instruments. Large archaeological data sets may include images, geospatial data, analytical data, and meta- data. Geospatial information plays a central role in the life cycle of those data; information is collected, organized, and published for analyses and visualization as final output us- ing geospatial data as an index. The web is an ideal place to publish scientific data and promote diverse collaboration, and thus we need a system to publish digital archaeologi- cal data efficiently so that it is also integrated in our data management workflow. In order to realize this goal, we designed and implemented a web-based application named ArcheoSTOR Map, which visualizes and publishes raw ar- chaeological data onto a map.
Integrating Geospatial Data to your ApplicationsIan Panganiban
My presentation in Devcon Summit 2015 about how to integrate spatial data into your applications. A discussion about spatial data types, web tools for adding spatial functionalities in your applications, and other applications that your may consider for development.
Cartaro Workshop at the Geosharing Conferenc in BernUli Müller
The workshops shows the basic usage of Cartaro, the geospatial CMS. These slides give the outline for the live presentation.
In our session we will first illustrate the basic concepts of Cartaro and show some use cases of public as well as internally used sites. During the training we will develop a sample application that shall enable the public to collect local knowledge about potential archaeological sites. We use a default Cartaro installation to start from and will then define the content types needed for the information of interest.
An import of OpenStreetMap data for archaeological sites will form the basis of our own data collection. We will create the maps needed to enter data and other maps that visualize the collected data. Users will be assigned different roles to enable an editorial workflow before data are published. We will also setup
web services that enable others to dynamically read data from our site and integrate them in other applications.
Digital Projects Showcase: Google Earth EngineWesley Porter
Google Earth Engine is a powerful geospatial analysis tool that allows end users to leverage the power of the Cloud to work with big data in remote sensing. While lesser known than its cousin Google Earth, Earth Engine has many advantages for prospective users beyond data visualization including: data manipulation, statistical analysis, and development of custom tools for project specific tasks. Earth Engine maintains a wealth of public datasets for users to work with such as Landsat imagery, Digital Elevation Models, and high-resolution aerial imagery. As part of a USDA funded research project at Middle Tennessee State University, Google Earth Engine was used to collect and process hundreds of Landsat images. These images were used to measure crop growth curves which will aid in the development of crop-land-cover GIS datasets for years in which data is unavailable to stakeholders.
Cartaro is the web mapping platform that brings the power of the best open source geospatial components into a content management system. With Cartaro you are able to set-up and run your own geo-enabled and OGC standards-compliant website with not more than a few clicks. The geospatial components used in Cartaro are PostGIS, GeoServer, GeoWebCache and OpenLayers. All those are managed from within the powerful CMS Drupal.
Cartaro is for organisations and individuals that need to run a light-weight spatial data infrastructure (SDI) without the need for extensive configurations and much individual programming.
Cartaro is also for all websites that focus on CMS features while also having to handle geospatial data.
Today, more than ever before, maps are being used to bring data to life. In this presentation I will demonstrate how geoviz can make data science more tangible by providing an interactive canvas for spatial data. Gregory Brunner will shows several examples of how maps are being used enhance how we communicate data and how this applies across all scales, including spatial, temporal, and size of data.
Exploratory Analysis of Massive Movement Data (RGS-IBG GIScience Research Gro...Anita Graser
The potential of Big Data for understanding human mobility patterns and other complex phenomena in transportation and movement research is significant. Many contemporary Big Data sources have clear spatiotemporal dimensions. However, Big Spatiotemporal Data is usually messy and presents numerous challenges to researchers and analysts trying to extract information and knowledge. Exploratory data analysis tools for massive movement data are necessary to gain an understanding of our data, its biases and messiness and how they might affect our analyses. This talk presents methods for the exploration of movement patterns in massive quasi-continuous GPS tracking datasets, with examples focusing on international maritime vessel movements.
Opportunities in Sensor Networks and Big Data in 2014 (for NIKKEI Big Data Co...Rainer Sternfeld
1. Market trends in some of the biggest industries using scientific sensor data
2. Technology trends
3. How Planet OS is solving these challenges
4. The Industrial Internet (GE), The Internet of Everything (Cisco)
5. Security and trust
Indexing the Real World Sensor Networks (at RE.WORK Internet of Things Summit...Rainer Sternfeld
This talk focuses on how harnessing sensor data intelligently (proprietary, commercial and public) enables to build better applications, what are the operational challenges of oil spill responses, and what kind of sensor networks are being utilized in weather forecasting, environmental monitoring and beyond.
Planet OS is a software platform for real-world sensor data integration, designed for ocean, land, air and space-based applications. Planet OS has developed a powerful suite that combines data mining, integration, search, visualization, analytics and secure data exchange between parties. It offers a single interface to work with all your proprietary (local and remote), commercial or open data.
初のVirtual開催となったICLR2020の参加速報です。
リアルじゃないと困る部分や、Virtualでも十分イケる部分や、むしろVirtualなので便利になった部分など、色々と見えてきました。
The International Conference on Learning Representations (ICLR)
NASA Earth Exchange (NEX) is virtual collaborative that brings scientists and researchers together in a knowledge-based social network and provides the necessary tools, computing power, and data to accelerate research, innovation and provide transparency.
Designing a Better Planet with Big Data and Sensor Networks (for Intelligent ...Rainer Sternfeld
Planet OS is a data discovery engine designed for real world sensor data. One interface to access your local, remote, open and vendor data.
This presentation answers questions like:
• How is the growth of sensor data challenging traditional data management, storage and usability of it?
• What are the trends in machine data and how will sensor data change Big Data over the next decade?
• How many devices are there on the Internet today? What will happen to this map in 10 years?
• What is the sensor data value chain, what gives you competitive advantage over others?
• Why is sensor data hard?
• Examples and use cases of the markets utilizing the latest robotic and mobile sensing platforms on land (energy production, agriculture, connected cars, weather forecasting), in the ocean (oil & gas, marine acoustics, shipping, environmental monitoring), air (drones) and space (nanosatellites, data-driven weather forecasting).
• How Planet OS is solving these challenges with it's Data Discovery Engine and a mission to index the real world? What are the data types we work with? What are the applications and how having a single interface and a single index help organizations to increase their ROI of operations, emergency response and planning?
• The Industrial Internet (GE), The Internet of Everything (Cisco)
• Why Big Data clouds need trust management for secure operations over open networks? (Intertrust)
Visualizing history - A proposal for Augmentive Drones in Archaeology.Clinton Jones
A report i'm working on for Archaeology sites, designed to incorporate drone technology and ubiquitous computing during the excavation process in Archaeology.
The concept of data movement lies at the heart of Apache CouchDB. CouchDB’s replication protocol lets developers synchronize copies of their data to remote CouchDB-based systems – including Cloudant – at the push of a button. Replication jobs can also run continuously, and in both directions.
For more than 10 years, developers have relied on Apache(R) CouchDB(TM) - a versatile and highly scalable open source database - to build apps for web, mobile and IoT platforms.
The release of CouchDB 2.0 in 2016 has generated even more interest in the freely available JSON database, which now includes clustering capabilities contributed from IBM Cloudant for high availability and performance.
Today, more than ever before, maps are being used to bring data to life. In this presentation I will demonstrate how geoviz can make data science more tangible by providing an interactive canvas for spatial data. Gregory Brunner will shows several examples of how maps are being used enhance how we communicate data and how this applies across all scales, including spatial, temporal, and size of data.
Exploratory Analysis of Massive Movement Data (RGS-IBG GIScience Research Gro...Anita Graser
The potential of Big Data for understanding human mobility patterns and other complex phenomena in transportation and movement research is significant. Many contemporary Big Data sources have clear spatiotemporal dimensions. However, Big Spatiotemporal Data is usually messy and presents numerous challenges to researchers and analysts trying to extract information and knowledge. Exploratory data analysis tools for massive movement data are necessary to gain an understanding of our data, its biases and messiness and how they might affect our analyses. This talk presents methods for the exploration of movement patterns in massive quasi-continuous GPS tracking datasets, with examples focusing on international maritime vessel movements.
Opportunities in Sensor Networks and Big Data in 2014 (for NIKKEI Big Data Co...Rainer Sternfeld
1. Market trends in some of the biggest industries using scientific sensor data
2. Technology trends
3. How Planet OS is solving these challenges
4. The Industrial Internet (GE), The Internet of Everything (Cisco)
5. Security and trust
Indexing the Real World Sensor Networks (at RE.WORK Internet of Things Summit...Rainer Sternfeld
This talk focuses on how harnessing sensor data intelligently (proprietary, commercial and public) enables to build better applications, what are the operational challenges of oil spill responses, and what kind of sensor networks are being utilized in weather forecasting, environmental monitoring and beyond.
Planet OS is a software platform for real-world sensor data integration, designed for ocean, land, air and space-based applications. Planet OS has developed a powerful suite that combines data mining, integration, search, visualization, analytics and secure data exchange between parties. It offers a single interface to work with all your proprietary (local and remote), commercial or open data.
初のVirtual開催となったICLR2020の参加速報です。
リアルじゃないと困る部分や、Virtualでも十分イケる部分や、むしろVirtualなので便利になった部分など、色々と見えてきました。
The International Conference on Learning Representations (ICLR)
NASA Earth Exchange (NEX) is virtual collaborative that brings scientists and researchers together in a knowledge-based social network and provides the necessary tools, computing power, and data to accelerate research, innovation and provide transparency.
Designing a Better Planet with Big Data and Sensor Networks (for Intelligent ...Rainer Sternfeld
Planet OS is a data discovery engine designed for real world sensor data. One interface to access your local, remote, open and vendor data.
This presentation answers questions like:
• How is the growth of sensor data challenging traditional data management, storage and usability of it?
• What are the trends in machine data and how will sensor data change Big Data over the next decade?
• How many devices are there on the Internet today? What will happen to this map in 10 years?
• What is the sensor data value chain, what gives you competitive advantage over others?
• Why is sensor data hard?
• Examples and use cases of the markets utilizing the latest robotic and mobile sensing platforms on land (energy production, agriculture, connected cars, weather forecasting), in the ocean (oil & gas, marine acoustics, shipping, environmental monitoring), air (drones) and space (nanosatellites, data-driven weather forecasting).
• How Planet OS is solving these challenges with it's Data Discovery Engine and a mission to index the real world? What are the data types we work with? What are the applications and how having a single interface and a single index help organizations to increase their ROI of operations, emergency response and planning?
• The Industrial Internet (GE), The Internet of Everything (Cisco)
• Why Big Data clouds need trust management for secure operations over open networks? (Intertrust)
Visualizing history - A proposal for Augmentive Drones in Archaeology.Clinton Jones
A report i'm working on for Archaeology sites, designed to incorporate drone technology and ubiquitous computing during the excavation process in Archaeology.
The concept of data movement lies at the heart of Apache CouchDB. CouchDB’s replication protocol lets developers synchronize copies of their data to remote CouchDB-based systems – including Cloudant – at the push of a button. Replication jobs can also run continuously, and in both directions.
For more than 10 years, developers have relied on Apache(R) CouchDB(TM) - a versatile and highly scalable open source database - to build apps for web, mobile and IoT platforms.
The release of CouchDB 2.0 in 2016 has generated even more interest in the freely available JSON database, which now includes clustering capabilities contributed from IBM Cloudant for high availability and performance.
Field Work: Map-centric mobile apps with Cloudant Geo and LeafletJSRaj Singh
Managing geospatial data has long been owned by relational database technology, but with recent advances in spatial indexing support in NoSQL databases, building spatially-aware apps with non-relational technologies is fast, performant and scalable. In this session we introduce spatial functionality in Apache Lucene and IBM Cloudant. Cloudant Geo supports Lucene spatial search as well as a more advanced geospatial search and indexing capability using GeoJSON documents, which allows for more types of spatial objects along with spatio-temporal indexing and query. To illustrate the powerful capabilities of the geospatial platform, we'll demonstrate a sample application called Field Work. This is a pure Javascript/HTML5 mobile app for utilities maintenance people to do remote work -- using the GeoJSON format to update the spatial layout of infrastructure such as pipes or meters, and even creating work orders -- whether online or offline.
The Simple Way to Distribute MySQL Database across Multiple Clouds in Six Con...GenieDB
Learn about the benefits of geo-distributed database, the challenges of deploying it, and the fast and simple way to distribute MySQL across multiple clouds in six continents. Try at http://try.geniedb.com/distributed-mysql-dbaas-on-multiple-cloud/
Nathan Ford- Divination of the Defects (Graph-Based Defect Prediction through...NoSQLmatters
While metrics generated by static code analysis are well established as predictors of possible future defects, there is another untapped source of useful information, namely your source code revision history. This presentation will discuss converting this revision information into a graph representation, various defect prediction models and how to generate their related change metrics through graph traversal, as well as the potential applications and benefits of these graph enabled prediction models.
Mobile web apps shouldn't stop working when there's no network connection. Offline-enabled apps built using PouchDB can provide a better, faster user experience while potentially reducing battery and bandwidth usage.
Hear from Developer Advocate Glynn Bird to find out how to use the HTML5 Offline Application Cache, PouchDB, IBM Cloudant and Cordova/PhoneGap to develop fully-featured and cross-platform native apps and responsive mobile web apps that work just as well offline as they do online.
IBM Cloudant describe the geospatial tools used in their database-as-a-service offering (DBaaS). Based upon Apache CouchDB, the geospatial extensions used by IBM Cloudant rely on a number of well known open source libraries to provide geospatial indexing, query and projection support to Apache CouchDB. Discussion topics include:
- Overview of the architecture & tools
- Best practices for building geospatial apps with NoSQL doc stores
- Use cases for leveraging geospatial capabilities of a NoSQL doc store
Our March 2, 2016 event featured Billy Beane, Executive Vice President of Baseball Operations at the Oakland As and Derek Schoettle, GM of Analytics Platform Services at IBM. Billy and Derek shared their experiences of how professional sports teams and businesses alike are gaining hidden insights and competitive advantages by using the latest data discovery techniques and platforms.
CouchDB is a document database. It stores JSON objects with a few special field names. The _id field represents a unique identifier for a document. The _rev field is the revision marker for a document. The _rev field is used for Multi-Version Concurrency Control, a form of optimistic concurrency.
Multi-master, multi-region MySQL deployment in Amazon AWSContinuent
MySQL data rules the cloud, but recent experience shows us that there's no substitute for maintaining copies of data, across availability zones and regions, when it comes to Amazon Web Services (AWS) data resilience.
In this webinar, we discuss the multi-master capabilities of Continuent Tungsten to help you build and manage systems that spread data across multiple sites. We cover important topics such as setting up large scale topologies, handling failures, and how to handle data privacy issues like removing personally identifiable information or handling privacy law restrictions on data movement. We will conclude with a live demonstration of a distributed MySQL solution with Continuent Tungsten clusters working across multiple AWS availability zones and regions.
Using Erlang in an Embedded and Cross-Compiled WorldFrank Hunleth
This presentation gives an overview of turning Erlang/OTP releases into Flash images that are ready to copy to an SDCard and run on a BeagleBone Black. It was presented at the ErlangDC conference on 12/7/2013.
"RabbitMQ: Message queuing that works" by Gabriele Santomaggio.
In this talk I will show how to use RabbitMQ for two different applications. For the first one, how to setup a simple messaging application using different clients as Java, Java-Script, Python, Erlang, .Net, etc. For the second one, how to distribute long batch processes between more consumers in high-availability configuration. In both examples, we will see how to scale the application in terms of clients and brokers, we will see a few standard configurations for local cluster and geographics one. At the end of this talk, you will have walked through all the basics of RabbitMQ.
(Given to the Vancouver Erlang and Ruby/Rails Meetup groups on May 19, 2009.)
Erlang is an up-and-coming language on the web scene. New libraries and frameworks are sprouting up at a rampant rate, and web giants Facebook and Twitter are using it to develop highly-scalable web applications.
This talk will introduce Erlang as a language and platform, summarize its strengths and weaknesses, and cover how you can use Erlang and Ruby together to conquer the web frontier.
Speaker Bio:
Ken Pratt has been developing software for the web for over 10 years. He fell in love with Ruby four years ago, but is still passionate about learning other languages and platforms. He has developed scalable web services for Electronic Arts, built Rails-based web applications since pre-1.0, and been featured in interactive art installations.
Scaling Spatial Analytics with Google Cloud & CARTOCARTO
In this webinar, we focus on how Google Cloud and CARTO can be used to tackle even the most challenging Location Intelligence use cases at scale. You can watch the recorded webinar at: https://go.carto.com/webinars/google-cloud-spatial-analytics-at-scale
Making Earth observation data available by using Amazon S3 is accelerating scientific discovery and enabling the creation of new products. Attend and learn how the scale and performance of Amazon S3 lets earth scientists, researchers, startups, and GIS professionals gather and analyse planetary-scale data without worrying about limitations of bandwidth, storage, memory, or processing power. Co-presented with support of the Australian Geoscience Data Cube collaboration, DigitalGlobe’s Geospatial Big Data Platform and the developer of the popular ObservedEarth mobile app.
Speakers:
Craig Lawton, Public Sector Solutions Architect, Amazon Web Services
Lachlan Hurst, Observed Earth
Matt Paget, Senior Experimental Scientist, CSIRO
Dan Getman, Digital Globe
Adding Location and Geospatial Analytics to Big Data Analytics (BDT210) | AWS...Amazon Web Services
(Presented by Esri)
When people analyze a problem, they often include location at the core of the analysis. Location and spatial context, combined with geographical knowledge, can make the biggest difference in understanding a problem and analyzing it in a more meaningful way.
In this session, we show how Amazon EMR can be used with location and geospatial analytics, and how the Amazon EMR API and the Python SDK were used to build tools that integrate Big Data and geospatial analysis. We also show powerful visualization options for displaying your results, using maps which can be shared in reports or distributed online and to mobile apps.
WORLDMAP: A SPATIAL INFRASTRUCTURE TO SUPPORT TEACHING AND RESEARCH (BROWN BA...Micah Altman
The WorldMap platform http://worldmap.harvard.edu is the largest open source collaborative mapping system in the world, with over 13,000 map layers contributed by thousands of users from Harvard and around the world. Researchers may upload large spatial datasets to the system, create data-driven visualizations, edit data, and control access. Users may keep their data private, share it in groups, or publish to the world.
The user base is interdisciplinary, including scholars from the humanities, social sciences, sciences, public health, design, planning, etc. All are able to access, view, and use one another’s data, either online, via map services, or by downloading.
Current work is underway to create and maintain a global registry of map services and take us a step closer to one-stop-access for public geospatial data. Another project is working on tools to support the visualization of spatial datasets with over a billion features. Current collaborations are underway with groups inside Harvard, such as Dataverse, HarvardX, and various departments, and with groups outside Harvard, such as Cornell University and the University of Pennsylvania. Major additional contributors to the underlying source code include the WorldBank, the U.S. State Department, and the United Nations.
The source code for the WorldMap platform is available on GitHub https://github.com/cga-harvard/cga-worldmap.
Location: E25-202
Discussant: Ben Lewis is system architect and project manager for WorldMap, an open source infrastructure that supports collaborative research centered on geospatial information. Before joining Harvard, Ben was a project manager with Advanced Technology Solutions of Pennsylvania, where he led the company in adopting platform independent approaches to GIS system development. Ben studied Chinese at the University of Wisconsin and has a Masters in Planning from the University of Pennsylvania. After Penn, Ben helped start the GIS Lab at U.C. Berkeley, founded the GIS group for transportation engineering firm McCormick Taylor, and coordinated the Land Acquisition Mapping System for South Florida Water Management District. Ben is especially interested in technologies that lower the barrier to spatial technology access.
Information Science Brown Bag talks, hosted by the Program on Information Science, consists of regular discussions and brainstorming sessions on all aspects of information science and uses of information science and technology to assess and solve institutional, social and research problems. These are informal talks. Discussions are often inspired by real-world problems being faced by the lead discussant.
Due to recent advances in technology, humanity is collecting vast amounts of data at an unprecedented rate, making the skills necessary to mine insights from this data increasingly valuable. So what does it take for a Developer to enter the world of data science?
Join me on a journey into the world of big data and machine learning where we will explore what the work actually looks like, identify which skills are most important, and design a road map for how you too can join this exciting and profitable industry.
Geospatial Intelligence Middle East 2013_Big Data_Steven RamageSteven Ramage
Some initial considerations and discussion points around geospatial big data. Location adds context and relevance. Need to consider a number of V factors including Value.
Spark and MapR Streams: A Motivating ExampleIan Downard
Businesses are discovering the untapped potential of large datasets and data streams through the use of technologies for big data processing and storage. By leveraging these assets they’re creating a new generation of applications that derive value from data they used to throw away. In this presentation Ian Downard shows how to build operational environments for these types of applications with the MapR Converged Data Platform and he describes examples of a next-generation applications that use Java APIs for MapR Streams, Apache Spark, Apache Hive, and MapR-DB. He shows how these technologies can be used to join and transform unbounded datasets to find signals and derive new data streams for a financial scenario involving real-time algorithmic trading and historical analysis using SQL. He also discusses how MapR enables you to run real-time data applications with the speed, reliability, and security you need for a production environment.
IMGS Geospatial User Group 2014: Hexagon Geospatial Vision, Mission and StrategyIMGS
Fusing the Real and Digital Worlds i.e. the world we live in and its digital reflection.
We need to close the productivity gap in order to increase efficiency and productivity.
The world is not build of single customers but of ecosystems that integrate technology between sectors and so gain synergies. Hexagon offers the possibility to use smart data to make smart decisions.
Improving access to satellite imagery with Cloud computingRAHUL BHOJWANI
The aim of this presentation is to introduce cloud computing platforms that have now made it possible for us to have access to a wide variety of Satellite Imagery data along with the computing power required to run sophisticated Machine Learning models on that. Also, it briefly explains one available dataset and what problems are currently being tackled with that, to motivate the use of geospatial datasets in solving real-life problems.
PS:- It is our* class presentation given for a course taken under Prof Shashi Shekhar at the University of Minnesota.
* - Rahul Bhojwani(rahulbhojwani2003@gmail.com) and Kate Kuehl(katekuehl@gmail.com)
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Centerp...Geoffrey Fox
Motivating Introduction to MOOC on Big Data from an applications point of view https://bigdatacoursespring2014.appspot.com/course
Course says:
Geoffrey motivates the study of X-informatics by describing data science and clouds. He starts with striking examples of the data deluge with examples from research, business and the consumer. The growing number of jobs in data science is highlighted. He describes industry trend in both clouds and big data.
He introduces the cloud computing model developed at amazing speed by industry. The 4 paradigms of scientific research are described with growing importance of data oriented version. He covers 3 major X-informatics areas: Physics, e-Commerce and Web Search followed by a broad discussion of cloud applications. Parallel computing in general and particular features of MapReduce are described. He comments on a data science education and the benefits of using MOOC's.
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Center...Geoffrey Fox
Motivating Introduction to MOOC on Big Data from an applications point of view https://bigdatacoursespring2014.appspot.com/course
Course says:
Geoffrey motivates the study of X-informatics by describing data science and clouds. He starts with striking examples of the data deluge with examples from research, business and the consumer. The growing number of jobs in data science is highlighted. He describes industry trend in both clouds and big data.
He introduces the cloud computing model developed at amazing speed by industry. The 4 paradigms of scientific research are described with growing importance of data oriented version. He covers 3 major X-informatics areas: Physics, e-Commerce and Web Search followed by a broad discussion of cloud applications. Parallel computing in general and particular features of MapReduce are described. He comments on a data science education and the benefits of using MOOC's.
Real World Use Cases: Hadoop and NoSQL in ProductionCodemotion
"Real World Use Cases: Hadoop and NoSQL in Production" by Tugdual Grall.
What’s important about a technology is what you can use it to do. I’ve looked at what a number of groups are doing with Apache Hadoop and NoSQL in production, and I will relay what worked well for them and what did not. Drawing from real world use cases, I show how people who understand these new approaches can employ them well in conjunction with traditional approaches and existing applications. Thread Detection, Datawarehouse optimization, Marketing Efficiency, Biometric Database are some examples exposed during this presentation.
Data Science covers the complete workflow from defining a question, finding the most suitable data source, identifying the right tools and finally presenting the best possible answer in a clear, engaging manner. But it all starts with having access to the data. This talk shows some examples of how to collect, store and access data in the Cloud with the use of different APIs.
CartoHeritage 2011: Georeferencer & MapRank SearchPetr Pridal
Presentation from the workshop: Digital Approaches in Cartographic Heritage 2011: 6th International Workshop, The Hague, 7-8 April 2011.
http://xeee.web.auth.gr/ICA-Heritage/Commission/6th_Workshop/TheHague/
Presentations:
P. Pridal, Georeferencer: Collaborative online georeferencing tool for scanned maps.
P. Pridal, MapRank Search: Intuitive geographical searching in map collections and metadata catalogs.
Similar to CouchDB Day NYC 2017: Using Geospatial Data in Cloudant & CouchDB (20)
Mango allows users to declaratively define and query Apache CouchDB indexes. Mango leverages Lucene not only to perform text search, but also to enable ad-hoc querying capabilities.
Apache CouchDB is accessed through an HTTP API. HTTP Basic authentication is a simple way to authenticate with an HTTP server. Other approaches, such as cookies and OAuth, are often used as well.
In the world of NoSQL, each database has its own strengths and weaknesses. Understanding which open source database is "the right tool for the job" is half the battle if you want to start building better applications quickly. IBM developer advocate Glynn Bird explores practical examples of how two popular NoSQL databases - the Cloudant JSON document store and the Redis in-memory key-value store - can be used together to create performant and scalable Web applications. It also includes real world use cases you can try today, for free, using the IBM Cloud Data Services suite of fully managed NoSQL databases-as-a-service.
BM Cloudant is a NoSQL Database-as-a-Service. Discover how you can outsource the data layer of your mobile or web application to Cloudant to provide high availability, scalability and tools to take you to the next level.
SQL-based databases have been around for decades and they power a wide range of applications. So what exactly do NoSQL databases bring to the table? In this webcast, you'll find out how NoSQL can liberate your development cycle, allow your application to scale and improve your system's uptime.
John Park, Offering Manager, for IBM Cloud Data Services covers the touchstones for tomorrow’s information systems: data and integration. Stovepipe applications are no longer acceptable, and siloed data sources must evolve and open up to the full enterprise. All this in an environment where more is expected faster, and at a lower cost. If your GIS doesn’t watch out, it will be replaced by less capable alternatives that “fit better” into mainstream IT. But dashDB, a cloud-native offspring of DB2, can provide a bridge that keeps both sides happy. This session introduce this popular cloud data warehousing solution and illustrate how it works in concert with ArcGIS. You will learn about the built-in geospatial functions in dashDB and how you can easily use them to build applications rapidly. You’ll see an application that uses weather data and mobile application data to calculate insurance risk, detect potential fraud, and prevent damage.
Find out how NoSQL can help your application with practical examples and use-cases from our Cloud Data Services Developer Advocate Glynn Bird. This webinar won't dwell on the science behind the database, but will walk you through real-life use-cases for NoSQL technologies that you can start using today.
Webinar: https://youtu.be/M_Jqw
Learn what you need to consider when moving from the world of relational databases to a NoSQL document store.
Hear from Developer Advocate Glynn Bird as he explains the key differences between relational databases and JSON document stores like Cloudant, as well as how to dodge the pitfalls of migrating from a relational database to NoSQL.
Presented by David Taieb, Architect, IBM Cloud Data Services
Along with Spark Streaming, Spark SQL and GraphX, MLLib is one of the four key architectural components of Spark. It provides easy-to-use (even for beginners), powerful Machine Learning APIs that are designed to work in parallel using Spark RDDs. In this session, we’ll introduce the different algorithms available in MLLib, e.g. supervised learning with classification (binary and multi class) and regression but also unsupervised learning with clustering (K-means) and recommendation systems. We’ll conclude the presentation with a deep dive on a sample machine learning application built with Spark MLLib that predicts whether a scheduled flight will be delayed or not. This application trains a model using data from real flight information. The labeled flight data is combined with weather data from the “Insight for Weather” service available on IBM Bluemix Cloud Platform to form the training, test and blind data. Even if you are not a black belt in machine learning, you will learn in this session how to leverage powerful Machine Learning algorithms available in Spark to build interesting predictive and prescriptive applications.
About the Speaker: For the last 4 years, David has been the lead architect for the Watson Core UI & Tooling team based in Littleton, Massachusetts. During that time, he led the design and development of a Unified Tooling Platform to support all the Watson Tools including accuracy analysis, test experiments, corpus ingestion, and training data generation. Before that, he was the lead architect for the Domino Server OSGi team responsible for integrating the eXpeditor J2EE Web Container in Domino and building first class APIs for the developer community. He started with IBM in 1996, working on various globalization technologies and products including Domino Global Workbench (used to develop multilingual Notes/Domino NSF applications) and a multilingual Content Management system for the Websphere Application Server. David enjoys sharing his experience by speaking at conferences. You’ll find him at various events like the Unicode conference, Eclipsecon, and Lotusphere. He’s also passionate about building tools that help improve developer productivity and overall experience.
Cloud and Software as a Service (SaaS) can make a huge impact on a business. Unfortunately, most start the evaluation of SaaS from an IT perspective and traditional data center advantages (i.e. on-premises costs, staffing and savings). While savings are important, cloud is about agility and speed. For these reasons, line-of-business (LOB) leaders have been more interested in SaaS solutions. Learn how Cognos Business Intelligence on Cloud and IBM dashdb make it simple to get started with collaboration, reporting and analytics.
Many Oracle pros are looking to take their data warehousing strategy to the cloud, but have been waiting for a cloud solution that offers both compatibility and ease of use. Well, the wait is over - with IBM dashDB, you can leverage your existing Oracle (as well as SQL) application skills, and get all the cost, scalability and performance advantages of a fully managed data warehousing service in the IBM Cloud.
Learn about IBM's Hadoop offering called BigInsights. We will look at the new features in version 4 (including a discussion on the Open Data Platform), review a couple of customer examples, talk about the overall offering and differentiators, and then provide a brief demonstration on how to get started quickly by creating a new cloud instance, uploading data, and generating a visualization using the built-in spreadsheet tooling called BigSheets.
dashDB Enterprise MPP is a new fully managed cloud data warehouse service with massive scale and performance. Powered by IBM's network cluster architecture, dashDB MPP is an easy to use, self service solution for building: standalone data warehouses; data science data marts; hybrid warehousing; development and QA environments; and analytics for NoSQL. It is available through IBM Bluemix along with IBM's other Cloud Data Services, including Cloudant and SQL DB.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Essentials of Automations: The Art of Triggers and Actions in FMESafe 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!
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-genie-review
AI Genie Review: Key Features
✅Creates Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI on WordPress in any Niche
✅First & Only Google Bard Approved Software That Publishes 100% Original, SEO Friendly Content using Open AI
✅Publish Automated Posts and Pages using AI Genie directly on Your website
✅50 DFY Websites Included Without Adding Any Images, Content Or Doing Anything Yourself
✅Integrated Chat GPT Bot gives Instant Answers on Your Website to Visitors
✅Just Enter the title, and your Content for Pages and Posts will be ready on your website
✅Automatically insert visually appealing images into posts based on keywords and titles.
✅Choose the temperature of the content and control its randomness.
✅Control the length of the content to be generated.
✅Never Worry About Paying Huge Money Monthly To Top Content Creation Platforms
✅100% Easy-to-Use, Newbie-Friendly Technology
✅30-Days Money-Back Guarantee
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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#HowDoesAIFusionBuddyWorks
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
2. @rajrsingh
Watson Data Platform
Why
Geospatial?
• Humans are wired by evolution to think spatially
• Location tells you a lot about your data
• Design with Nature (1969)
pioneered the concept of
ecological planning.
Ian McHarg sets forth
the basic concepts that
were to develop later into
geographic information systems.
Courtesy Wikipedia
3. @rajrsingh
Watson Data Platform
Faking Geo
with
CouchDB
• Secondary index on X and Y
• Mango query X and Y
• Pull data to the client, then…
• Use PouchDB +
https://github.com/pouchdb/geopouch for
bounding box queries
or
• http://turfjs.org for more complete geospatial
analysis
7. @rajrsingh
Watson Data Platform
GeoJSON
Data Format – geometry property
• required: type property with a value such as
Point, LineString or Polygon
• required: coordinates property
– properties property
• all the other data
• optional in Cloudant/CouchDB
– type property set to Feature
– http://geojson.org
Humans are wired to think spatially
Go out to hunt, track prey and return home safely
Nomadic tribes, migration
Location tells you a lot about a user
At home or work
What are they near?
General demographics
Want to pull in demographic profies and give you all the schema flexbility. Today you’ll see the skeleton of a mobile app, you can use the flexible schema will let you scale without worrying
You can perform bounding box queries that return local results, but they may not be all that compelling because a simple rectangle may cross impassable barriers such as highways or rivers.
Multipoint polygons deliver better results for users. Here you see that the results are limited to a Lower East Side neighborhood in Manhattan.
Since GeoJSON is a standard for storing geographic data in JSON format, it is a best practice to adhere to this format when storing geo-coordinates in Cloudant.
GeoJSON format consists of three parts:
The geometry section contains two fields: the coordinates and the type, such as Point, LineString, or Polygon.
The properties section contains other optional data.
And the type section must be set to “Feature”.
The coordinates must adhere to the GeoJSON standard, but the properties object and type field are not required.
GeoJSON assumes that coordinates are stored as follows in 4D scenarios: (x-axis, y-axis, z-axis, temporal) which equates to (longitude, latitude, height, temporal). Keep it in mind as most people think in terms of latitude, longitude order rather than longitude, latitude.
For details on the accuracy and precision of coordinate data, refer to the Geographic Information Systems page on StackExchange. http://gis.stackexchange.com/questions/8650/how-to-measure-the-accuracy-of-latitude-and-longitude/8674#8674
Since GeoJSON is a standard for storing geographic data in JSON format, it is a best practice to adhere to this format when storing geo-coordinates in Cloudant.
GeoJSON format consists of three parts:
The geometry section contains two fields: the coordinates and the type, such as Point, LineString, or Polygon.
The properties section contains other optional data.
And the type section must be set to “Feature”.
The coordinates must adhere to the GeoJSON standard, but the properties object and type field are not required.
GeoJSON assumes that coordinates are stored as follows in 4D scenarios: (x-axis, y-axis, z-axis, temporal) which equates to (longitude, latitude, height, temporal). Keep it in mind as most people think in terms of latitude, longitude order rather than longitude, latitude.
For details on the accuracy and precision of coordinate data, refer to the Geographic Information Systems page on StackExchange. http://gis.stackexchange.com/questions/8650/how-to-measure-the-accuracy-of-latitude-and-longitude/8674#8674
In Cloudant, geospatial relations are specified by the relation query parameter. Cloudant Geo supports the following standard geospatial relations:
Bbox
Contains
Crosses
Disjoint
Equals
Intersects
Overlaps
Touches
Within
Refer to the Geospatial Relationships section of the documentation for complete details on each of these relations.