This document discusses automation testing for a big data project. It involves testing the import and export of data between various technologies like MongoDB, Redshift, Redis, Aerospike and AWS S3 through API requests and SQL queries. It also includes verifying integrations with external libraries and projects for functions like encrypting cookies, sending bid requests, and global reporting. The document is presented by Alexander Chumakin and provides his LinkedIn contact information for further discussion.
This document provides an overview of the major components of the USGS ScienceBase including:
- Data file inputs that can be ingested like shapefiles, NetCDF, GeoTIFFs, and other files.
- Primary output interfaces for accessing the data like HTML, JSON, ISO metadata standards and CSV.
- The ScienceBase technical stack using technologies like GeoServer, GeoTools, ArcGIS Server, and THREDDS for storing, serving and indexing the data.
- Interfaces for ingesting and accessing the data through APIs, OGC standards, and direct downloads.
- Downstream uses of the data and services through tools like Python, R, Drupal and ArcGIS Desktop.
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Everything about Fluentd as an aggregator and Fluent Bit as it Log Forwarder
Nascent-works presents the part of the cycle of Serverless Node.js web application development.
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MongoDB World 2019: Building a GraphQL API with MongoDB, Prisma, & TypeScriptMongoDB
Originally developed by Facebook, GraphQL is taking over the industry and replaces REST as an API standard. Learn how it works and build your own GraphQL API with Prisma, MongoDB & TypeScript. Prisma auto-generates a MonogDB client to connect your GraphQL resolvers with MongoDB in a type-safe way.
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This document discusses automation testing for a big data project. It involves testing the import and export of data between various technologies like MongoDB, Redshift, Redis, Aerospike and AWS S3 through API requests and SQL queries. It also includes verifying integrations with external libraries and projects for functions like encrypting cookies, sending bid requests, and global reporting. The document is presented by Alexander Chumakin and provides his LinkedIn contact information for further discussion.
This document provides an overview of the major components of the USGS ScienceBase including:
- Data file inputs that can be ingested like shapefiles, NetCDF, GeoTIFFs, and other files.
- Primary output interfaces for accessing the data like HTML, JSON, ISO metadata standards and CSV.
- The ScienceBase technical stack using technologies like GeoServer, GeoTools, ArcGIS Server, and THREDDS for storing, serving and indexing the data.
- Interfaces for ingesting and accessing the data through APIs, OGC standards, and direct downloads.
- Downstream uses of the data and services through tools like Python, R, Drupal and ArcGIS Desktop.
Scaling the logging pipeline requires better understanding of each phase behind the scenes.
Everything about Fluentd as an aggregator and Fluent Bit as it Log Forwarder
Nascent-works presents the part of the cycle of Serverless Node.js web application development.
We are sharing the basics of RxJS Observables and Subjects in a detailed way; the difference between hot and cold observables and how to use them in different contexts. Later you will see the most commonly used RxJS operators for creation, combination, filtering and error handling.
This is some technique to optimize code sharing with xamarin native using MVVM Cross and also using some other 3rd party library like refit and polly to use resilient web services
MongoDB World 2019: Building a GraphQL API with MongoDB, Prisma, & TypeScriptMongoDB
Originally developed by Facebook, GraphQL is taking over the industry and replaces REST as an API standard. Learn how it works and build your own GraphQL API with Prisma, MongoDB & TypeScript. Prisma auto-generates a MonogDB client to connect your GraphQL resolvers with MongoDB in a type-safe way.
This document presents a modular open source platform for web-scale IoT interoperability. The platform features include interoperability across any application to any connected thing using any M2M protocol. It uses data models to drive discovery and linking of devices. The platform utilizes open source components like the IoT Toolkit, Node-RED, and Dojo UI toolkit to provide a complete stack. It maps the model-view-controller pattern to these components to enable autonomous feedback loops and control of IoT devices.
SWORD (Simple Web-service Offering Repository Deposit) will take forward the Deposit protocol developed by a small working group as part of the JISC Digital Repositories Programme by implementing it as a lightweight web-service in four major repository software platforms: EPrints, DSpace, Fedora and IntraLibrary. The existing protocol documentation will be finalised by project partners and a prototype ‘smart deposit’ tool will be developed to facilitate easier and more effective population of repositories.
containerd summit - Deep Dive into containerdDocker, Inc.
containerd is an industry-standard core container runtime with an emphasis on simplicity, robustness and portability. It is available as a daemon for Linux and Windows, which can manage the complete container lifecycle of its host system: image transfer and storage, container execution and supervision, low-level storage and network attachments, etc..
containerd is designed to be embedded into a larger system, rather than being used directly by developers or end-users.
containerd includes a daemon exposing gRPC API over a local UNIX socket. The API is a low-level one designed for higher layers to wrap and extend. It also includes a barebone CLI (ctr) designed specifically for development and debugging purpose. It uses runC to run containers according to the OCI specification. The code can be found on GitHub, and here are the contribution guidelines.
containerd is based on the Docker Engine’s core container runtime to benefit from its maturity and existing contributors.
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The Fedora Project provides an open source digital object repository system with extensible models and scalable storage. It exposes repository functions via web service APIs and supports use cases in content management, digital libraries, asset management, and scholarly publishing. Prior commercial systems had narrow focuses and lacked interoperability and extensibility. Fedora aims to overcome these shortcomings through its flexible data model, web services approach, and ability to associate behaviors and services with digital objects.
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Presentation on OSGi Cloud Ecosystems (RFC 183) as given at EclipseCon Boston 2013. The RFC itself is available at http://www.osgi.org/Download/File?url=/download/osgi-early-draft-2013-03.pdf
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Apache Eagle is an Open Source Monitoring Platform for Hadoop eco-system, which started with monitoring data activities in Hadoop. It can instantly identify access to sensitive data, recognize attacks/malicious activities and blocks access in real time.
The document provides an overview of setting up an Android development environment and creating basic Android applications. It discusses installing the Android SDK and Eclipse IDE, creating Android Virtual Devices, using the Android emulator, and understanding key Android application components like activities, services, and intents. The document also covers building user interfaces with XML layouts, handling user input, and moving between activities.
OkCapital: Lost your job - want to find the city that meets ALL your needs?David F. Flanders
Have you recently lost your job? Why not find 'the place you were destined to live' and find more than just a job, but a city that meets all your personal psychological needs?!
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The app essentially acts as a kind of 'dating app' that matches Australian cities to a set of psychological criteria that the individual fills in which is matched to open government data about each city.
For more details about the App please see:
http://code.google.com/p/okcapital/
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containerd is designed to be embedded into a larger system, rather than being used directly by developers or end-users.
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The document describes an IoT Toolkit and Smart Object API that aims to enable interoperability between IoT applications, connected objects, and machine-to-machine protocols. The API defines a virtual representation of physical smart objects using an object model, REST API, data models, and event model. It allows applications to connect to any thing via any M2M protocol by abstracting the underlying protocols and providing a common interface through the Smart Object API.
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The document describes an IoT Toolkit and Smart Object API that aims to enable interoperability between IoT applications, connected objects, and machine-to-machine protocols. The API defines a virtual representation of physical smart objects using an object model, REST API, data models, and event model. It allows applications to connect to any thing via any M2M protocol by abstracting the underlying protocols and providing a common interface through the Smart Object API.
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The app essentially acts as a kind of 'dating app' that matches Australian cities to a set of psychological criteria that the individual fills in which is matched to open government data about each city.
For more details about the App please see:
http://code.google.com/p/okcapital/
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At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
5. Architecture Overview Migration Service R 1 R 2 GET PUT Repository No.1 (source repository) Repository No.2 (target repository) OSID/API interface provider OSID/API interface consumer [other service] Other Service(s) Web Services Migration Service Migration Tool & GUI
15. Overview (10K ft. +) Blackboard CMS Fedora Archive Repository iTunesU uTube Flickr Jorum OSID Service Tool + OSIDs = Semi-annual migration and disaggregation of objects into digital archive. Fedora Metadata Workflow: (human asset metadata assignment): descriptive, legal, archival, provenance… Selective migration of objects to registry of Repository OSIDs 1 2 3 4 5 6 7 8 9 10 10 10 10
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Editor's Notes
http://labnol.blogspot.com/2006/04/inside-bill-gates-office-workstyle-of.html http://labnol.blogspot.com/2006/05/microsoft-lab-showcases-workplaces-of.html People in the future will read more at home (due to the increased amount of online content). More people will work from home in the future The information economy is the primary economical driver in the UK and therefore requires the assimilation of information as knowledge so it can be repurposed for innovative income Historically, the reading room or office within the home is an architectural tradition that every culture has at one time adopted (and has only recently been separated from the home with the emergence of the centralised 21 st century office space). People do not enjoy reading in their current computer workspace environs Why can people stand to sit and watch a TV screen for hours on end and not a computer screen? <-social phenomena, screen detail (digital ink), physical ergonomics, spatial relation? “ Reading” is more than just ‘textual reading’, it is also ‘audio reading (“comprehension”)’, ‘image reading (interpretation)’, and ‘video reading (analysis)’. Because of the seamless ‘digital page’ where bytes of ‘text’ are the same as bytes for ‘video’, all information –be it audio, image, video or text- are all just digital objects on the page. Multiple learning outputs (audio, visual and kinesthetic) are required by the future scholar/worker as it provides an alternative means of taking in information, which breaks the monotony of a single learning output (“reading all day”) “ Reading” –in the present and ever growing “social” Web 2.0 presence- will become synonymous with “writing”, or rather editing, updating and note-taking, e.g. reading/writing will take place algorithmically as a synchronously activity. The current state of “reading” using PDFs, DOCs is not acceptable as an enhanced digital version of the physical proxy, i.e. we are not taking advantage of the added-value principle of reading in a digital environment and interface (fades, zoom, wipe, transparent, dynamic, share, transpose, etc) [“A million book library”, by Crane]