What is GraphQL? Why GraphQL? How to GraphQL?
Workshops introduction presentation
GraphQL Developers https://selleo.com/graphql-expert-developers-team
This document introduces GraphQL, describing what it is and isn't. It explains that GraphQL is not a query language like SQL, but rather specifies fields that can be resolved through code. The document provides examples of GraphQL schemas, queries, and mutations. It also discusses GraphQL integration with various technologies like Relay and Java libraries. Finally, it demonstrates GraphQL tooling like GraphiQL and an example DX integration.
GraphQL: Enabling a new generation of API developer toolsSashko Stubailo
This document discusses the history and benefits of GraphQL as an API layer between frontends and backends. It provides examples of how GraphQL allows flexible queries to get only necessary data, and describes tools like GraphiQL, static query analysis, code generation and dev tools that improve the developer experience. GraphQL provides a shared language for frontend and backend teams to communicate about data requirements and optimize performance.
This document provides an introduction to GraphQL, including its history and key concepts. It discusses how GraphQL works with queries and mutations, schemas and types, validations and executions. Comparisons are made between GraphQL and REST. Examples of GraphQL queries and schemas are shown. Benefits of GraphQL include minimal code changes, no need for versioning, and handling client-specific data with one endpoint. Disadvantages include lack of "select *" and potential for large argument objects. Major companies using GraphQL are cited.
In this presentation, Suraj Kumar Paul of Valuebound has walked us through GraphQL. Founded by Facebook in 2012, GraphQL is a data query language that provides an alternative to REST and web service architectures.
Here he has discussed core ideas of GraphQL, limitations of RESTful APIs, operations, arguments, fragmentation, variables, mutations etc.
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Our website: http://valuebound.com/
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Facebook: https://www.facebook.com/valuebound/
It is a basic presentation which can help you understand the basic concepts about Graphql and how it can be used to resolve the frontend integration of projects and help in reducing the data fetching time
This presentation also explains the core features of Graphql and why It is a great alternative for REST APIs along with the procedure with which we can integrate it into our projects
Overview of GraphQL
How it is different from REST
When you should consider using it and when you should not
Incremental demos until calling GraphQL from an React application: https://github.com/bary822/graphQL-techtalk
Moje slajdy z prezentacji na GraphQL Wroclaw #3 https://www.meetup.com/GraphQL-Wroclaw/events/261828347/
Większość prezentacji dotyczących GraphQL opowiada o JavaSkryptowych narzędziach, natomiast mało kto mówi o tym jak korzystać z GraphQL w Javie. Prezentacja będzie o tym, jak sprawić aby nasz backendowy, Javowy serwer korzystał z GraphQL. Będzie o możliwych podejściach w implementacji, dobrych praktykach i 4-letnim doświadczeniu z GraphQL na produkcji.
GraphQL is an application layer query language developed by Facebook that allows clients to define queries for retrieving multiple resources from an API in a single request. It uses a type system and schema to define the data and operations available. GraphQL aims to solve issues with REST APIs like over-fetching and under-fetching data by allowing clients to specify exactly what data they need.
1. The document discusses GraphQL, an API query language created by Facebook. It introduces GraphQL concepts like queries, mutations, and subscriptions.
2. An example compares fetching data from a REST API versus a GraphQL API. GraphQL allows fetching all required data with a single request, whereas REST requires multiple requests.
3. React and GraphQL are a good fit because GraphQL is declarative, allowing developers to focus on what data is needed rather than how to fetch it. Popular GraphQL clients like Apollo make fetching data even more declarative.
This document provides an overview of GraphQL, including:
- GraphQL allows clients to request specific data fields from an API rather than entire resources.
- It addresses limitations of REST such as multiple requests being needed to get related data.
- Many large companies use GraphQL including Facebook, GitHub, and Yelp.
- GraphQL has a type system including object, query, mutation, scalar and other types.
- Examples demonstrate basic GraphQL syntax and concepts like fields, arguments, and fragments.
- Additional resources are provided for learning more about GraphQL.
- GraphQL is a query language and runtime for APIs that provides better performance, flexibility, and developer experience compared to REST. It allows clients to define exactly the structure and relations between data needed from the server.
- A GraphQL server is defined by a schema that specifies the types of objects and the fields they contain. Resolvers retrieve data and are independent of data sources. This allows GraphQL to work with various databases and services.
- Client-side frameworks like Relay and Apollo utilize GraphQL's capabilities by batching queries to minimize requests. The ecosystem is growing rapidly with server and client implementations in many languages.
GraphQL as an alternative approach to REST (as presented at Java2Days/CodeMon...luisw19
Originally designed by Facebook to allow its mobile clients to define exactly what data should be send back by an API and therefore avoid unnecessary roundtrips and data usage, GraphQL is a JSON based query language for Web APIs. Since it was open sourced by Facebook in 2015, it has undergone very rapid adoption and many companies have already switch to the GraphQL way of building APIs – see http://GraphQL.org/users.
However, with some many hundreds of thousands of REST APIs publicly available today (and many thousands others available internally), what are the implications of moving to GraphQL? Is it really worth the effort of replacing REST APIs specially if they’re successful and performing well in production? What are the pros/cons of using GraphQL? What tools / languages can be used for GraphQL? What about API Gateways? What about API design?
With a combination of rich content and hands-on demonstrations, attend this session for a point of view on how address these and many other questions, and most importantly get a better understanding and when/where/why/if GraphQL applies for your organisation or specific use case.
GraphQL is a specification created by Facebook that defines a query language for fetching data from backend services. It allows clients to request specific data fields from a server in a hierarchical manner and receive only the requested data. GraphQL queries are strongly typed and introspective, allowing clients to understand the structure of the returned data. While still in draft form, GraphQL is used in production by Facebook's mobile apps and provides advantages over traditional REST APIs by being more product-centric and client-driven.
GraphQL is a wonderful abstraction for describing and querying data. Apollo is an ambitious project to help you build apps with GraphQL. In this talk, we'll go over how all the parts—Client, Server, Dev Tools, Codegen, and more—create an end-to-end experience for building apps on top of any data.
## Detailed description
In today's development ecosystem, there are tons of options for almost every part of your application development process: UI rendering, styling, server side rendering, build systems, type checking, databases, frontend data management, and more. However, there's one part of the stack that hasn't gotten as much love in the last decade, because it usually falls in the cracks between frontend and backend developers: Data fetching.
The most common way to load data in apps today is to use a REST API on the server and manage the data manually on the client. Whether you're using Redux, MobX, or something else, you're usually doing everything yourself—deciding when to load data, how to keep it fresh, updating the store after sending updates to the server, and more. But if you're trying to develop the best user experience for your app, all of that gets in the way; you shouldn't have to become a systems engineer to create a great frontend. The Apollo project is based on the belief that data loading doesn't have to be complicated; instead, you should be able to easily get the data you want, when you want it, and it should be managed for you just like React manages updating your UI.
Because data loading touches both the frontend and backend of your app, GraphQL and Apollo have to include many parts to fulfill that promise of being able to seamlessly connect your data together. First, we need client libraries not only for React and JavaScript, but also for native iOS and Android. Then, we must bring server-side support for GraphQL queries, mutations, and most recently subscriptions to every server technology and make those servers easier to write. And finally, we want not only all of the tools that people are used to with REST APIs, but many more thanks to all of the capabilities enabled by GraphQL.
In this talk, we'll go over all of the parts of a GraphQL-oriented app architecture, and how different GraphQL and Apollo technologies come together to solve all of the parts of data loading and management for React developers.
This document is a presentation on GraphQL fundamentals. It was created by Virbhadra S. Ankalkote from BORN Group. The presentation covers what GraphQL is, who created it, why it was created, and how it works. It defines GraphQL as a query language for APIs that fulfills queries with existing data. It notes that Facebook developed GraphQL in 2012 for their native mobile app. In comparison to REST APIs, GraphQL allows clients to get precisely the data they need in one request. The presentation explains the GraphQL specification and includes sections on reading and writing data, using variables and fragments, and limitations such as indefinite querying depth.
This document provides an introduction and overview of GraphQL, including:
- A brief history of GraphQL and how it was created by Facebook and adopted by other companies.
- How GraphQL provides a more efficient alternative to REST APIs by allowing clients to specify exactly the data they need in a request.
- Some key benefits of GraphQL like its type system, declarative data fetching, schema stitching, introspection, and versioning capabilities.
- Some disadvantages like potential complexity in queries and challenges with rate limiting.
Introduction to GraphQL (or How I Learned to Stop Worrying about REST APIs)Hafiz Ismail
Talk for FOSSASIA 2016 (http://2016.fossasia.org)
----
This talk will give a brief and enlightening look into how GraphQL can help you address common weaknesses that you, as a web / mobile developer, would normally face with using / building typical REST API systems.
Let's stop fighting about whether we should implement the strictest interpretation of REST or how pragmatic REST-ful design is the only way to go, or debate about what REST is or what it should be.
A couple of demos (In Golang! Yay!) will be shown that are guaranteed to open up your eyes and see that the dawn of liberation for product developers is finally here.
Background: GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
Hafiz Ismail (@sogko) is a contributor to Go / Golang implementation of GraphQL server library (https://github.com/graphql-go/graphql) and is looking to encourage fellow developers to join in the collaborative effort.
GraphQL is a syntax that describes how to ask for data, and is generally used to load data from a server to a client. GraphQL has three main characteristics:
It lets the client specify exactly what data it needs.
It makes it easier to aggregate data from multiple sources.
It uses a type system to describe data.
This document discusses GraphQL and its benefits over traditional REST APIs. It provides an example GraphQL query to fetch user data from Facebook's API, including the user's first and last name, number of events, friend suggestions, and number of mutual friends. It then lists some key features of GraphQL like real-time documentation, static type checking, and ability to avoid over- and under-fetching of data.
Introduction to GraphQL Presentation.pptxKnoldus Inc.
GraphQL is an open-source data query and manipulation language for APIs and a query runtime engine. GraphQL enables declarative data fetching where a client can specify exactly what data it needs from an API
GraphQL has made an excellent entree on the API scene. It is reintroducing the original concepts of RPC-style architecture with a revolutionary API consumer-oriented approach. It brought a new option to the stalled waters of RESTful APIs. But more importantly, GraphQL brought back the principal question: What is the right API architectural style for my project?
If you are building an API, this talk should give you enough of the theoretical background to make the right API-decision for your product.
In this talk, we will take a critical look at predominant API architectural style – RESTful APIs and put it in contrast to GraphQL and Hypermedia APIs. We will discuss the expected properties of distributed systems, the consequences of choosing a particular API style, and reflect these findings in the pros and cons of the popular methods.
GraphQL is query language for APIs, but what are the advantages and how would one implement such in their microservices/APIs. In this session, I will go through the basics of GraphQL, different aspects of GraphQL and architecture of such APIs. There will be a demo/live-coding on, how 4 different ways we can implement GraphQL for a Springboot microservice/API. Lots of examples, live coding and helpful comparison on structure, usage and implementations of GraphQL in Springboot & Java world.
Apresentado na React Conf Brasil, em São Paulo, 7 de Outubro de 2017 #reactconfbr
I'm the creator of React Brasil. I'm the software technical lead on Entria. Living on the bleeding edge (React Native, Relay, GraphQL, Redux, Redux-Saga, Koa), I love to contribute to open source projects.
https://github.com/sibelius
@sseraphini
- Patrocínio: Pipefy, Globo.com, Meteor, Apollo, Taller, Fullcircle, Quanto, Udacity, Cubos, Segware, Entria
- Apoio: Concrete, Rung, LuizaLabs, Movile, Rivendel, GreenMile, STQ, Hi Platform
- Promoção: InfoQ, DevNaEstrada, CodamosClub, JS Ladies, NodeBR, Training Center, BrazilJS, Tableless, GeekHunter
- Afterparty: An English Thing
Overview of GraphQL
How it is different from REST
When you should consider using it and when you should not
Incremental demos until calling GraphQL from an React application: https://github.com/bary822/graphQL-techtalk
Moje slajdy z prezentacji na GraphQL Wroclaw #3 https://www.meetup.com/GraphQL-Wroclaw/events/261828347/
Większość prezentacji dotyczących GraphQL opowiada o JavaSkryptowych narzędziach, natomiast mało kto mówi o tym jak korzystać z GraphQL w Javie. Prezentacja będzie o tym, jak sprawić aby nasz backendowy, Javowy serwer korzystał z GraphQL. Będzie o możliwych podejściach w implementacji, dobrych praktykach i 4-letnim doświadczeniu z GraphQL na produkcji.
GraphQL is an application layer query language developed by Facebook that allows clients to define queries for retrieving multiple resources from an API in a single request. It uses a type system and schema to define the data and operations available. GraphQL aims to solve issues with REST APIs like over-fetching and under-fetching data by allowing clients to specify exactly what data they need.
1. The document discusses GraphQL, an API query language created by Facebook. It introduces GraphQL concepts like queries, mutations, and subscriptions.
2. An example compares fetching data from a REST API versus a GraphQL API. GraphQL allows fetching all required data with a single request, whereas REST requires multiple requests.
3. React and GraphQL are a good fit because GraphQL is declarative, allowing developers to focus on what data is needed rather than how to fetch it. Popular GraphQL clients like Apollo make fetching data even more declarative.
This document provides an overview of GraphQL, including:
- GraphQL allows clients to request specific data fields from an API rather than entire resources.
- It addresses limitations of REST such as multiple requests being needed to get related data.
- Many large companies use GraphQL including Facebook, GitHub, and Yelp.
- GraphQL has a type system including object, query, mutation, scalar and other types.
- Examples demonstrate basic GraphQL syntax and concepts like fields, arguments, and fragments.
- Additional resources are provided for learning more about GraphQL.
- GraphQL is a query language and runtime for APIs that provides better performance, flexibility, and developer experience compared to REST. It allows clients to define exactly the structure and relations between data needed from the server.
- A GraphQL server is defined by a schema that specifies the types of objects and the fields they contain. Resolvers retrieve data and are independent of data sources. This allows GraphQL to work with various databases and services.
- Client-side frameworks like Relay and Apollo utilize GraphQL's capabilities by batching queries to minimize requests. The ecosystem is growing rapidly with server and client implementations in many languages.
GraphQL as an alternative approach to REST (as presented at Java2Days/CodeMon...luisw19
Originally designed by Facebook to allow its mobile clients to define exactly what data should be send back by an API and therefore avoid unnecessary roundtrips and data usage, GraphQL is a JSON based query language for Web APIs. Since it was open sourced by Facebook in 2015, it has undergone very rapid adoption and many companies have already switch to the GraphQL way of building APIs – see http://GraphQL.org/users.
However, with some many hundreds of thousands of REST APIs publicly available today (and many thousands others available internally), what are the implications of moving to GraphQL? Is it really worth the effort of replacing REST APIs specially if they’re successful and performing well in production? What are the pros/cons of using GraphQL? What tools / languages can be used for GraphQL? What about API Gateways? What about API design?
With a combination of rich content and hands-on demonstrations, attend this session for a point of view on how address these and many other questions, and most importantly get a better understanding and when/where/why/if GraphQL applies for your organisation or specific use case.
GraphQL is a specification created by Facebook that defines a query language for fetching data from backend services. It allows clients to request specific data fields from a server in a hierarchical manner and receive only the requested data. GraphQL queries are strongly typed and introspective, allowing clients to understand the structure of the returned data. While still in draft form, GraphQL is used in production by Facebook's mobile apps and provides advantages over traditional REST APIs by being more product-centric and client-driven.
GraphQL is a wonderful abstraction for describing and querying data. Apollo is an ambitious project to help you build apps with GraphQL. In this talk, we'll go over how all the parts—Client, Server, Dev Tools, Codegen, and more—create an end-to-end experience for building apps on top of any data.
## Detailed description
In today's development ecosystem, there are tons of options for almost every part of your application development process: UI rendering, styling, server side rendering, build systems, type checking, databases, frontend data management, and more. However, there's one part of the stack that hasn't gotten as much love in the last decade, because it usually falls in the cracks between frontend and backend developers: Data fetching.
The most common way to load data in apps today is to use a REST API on the server and manage the data manually on the client. Whether you're using Redux, MobX, or something else, you're usually doing everything yourself—deciding when to load data, how to keep it fresh, updating the store after sending updates to the server, and more. But if you're trying to develop the best user experience for your app, all of that gets in the way; you shouldn't have to become a systems engineer to create a great frontend. The Apollo project is based on the belief that data loading doesn't have to be complicated; instead, you should be able to easily get the data you want, when you want it, and it should be managed for you just like React manages updating your UI.
Because data loading touches both the frontend and backend of your app, GraphQL and Apollo have to include many parts to fulfill that promise of being able to seamlessly connect your data together. First, we need client libraries not only for React and JavaScript, but also for native iOS and Android. Then, we must bring server-side support for GraphQL queries, mutations, and most recently subscriptions to every server technology and make those servers easier to write. And finally, we want not only all of the tools that people are used to with REST APIs, but many more thanks to all of the capabilities enabled by GraphQL.
In this talk, we'll go over all of the parts of a GraphQL-oriented app architecture, and how different GraphQL and Apollo technologies come together to solve all of the parts of data loading and management for React developers.
This document is a presentation on GraphQL fundamentals. It was created by Virbhadra S. Ankalkote from BORN Group. The presentation covers what GraphQL is, who created it, why it was created, and how it works. It defines GraphQL as a query language for APIs that fulfills queries with existing data. It notes that Facebook developed GraphQL in 2012 for their native mobile app. In comparison to REST APIs, GraphQL allows clients to get precisely the data they need in one request. The presentation explains the GraphQL specification and includes sections on reading and writing data, using variables and fragments, and limitations such as indefinite querying depth.
This document provides an introduction and overview of GraphQL, including:
- A brief history of GraphQL and how it was created by Facebook and adopted by other companies.
- How GraphQL provides a more efficient alternative to REST APIs by allowing clients to specify exactly the data they need in a request.
- Some key benefits of GraphQL like its type system, declarative data fetching, schema stitching, introspection, and versioning capabilities.
- Some disadvantages like potential complexity in queries and challenges with rate limiting.
Introduction to GraphQL (or How I Learned to Stop Worrying about REST APIs)Hafiz Ismail
Talk for FOSSASIA 2016 (http://2016.fossasia.org)
----
This talk will give a brief and enlightening look into how GraphQL can help you address common weaknesses that you, as a web / mobile developer, would normally face with using / building typical REST API systems.
Let's stop fighting about whether we should implement the strictest interpretation of REST or how pragmatic REST-ful design is the only way to go, or debate about what REST is or what it should be.
A couple of demos (In Golang! Yay!) will be shown that are guaranteed to open up your eyes and see that the dawn of liberation for product developers is finally here.
Background: GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
Hafiz Ismail (@sogko) is a contributor to Go / Golang implementation of GraphQL server library (https://github.com/graphql-go/graphql) and is looking to encourage fellow developers to join in the collaborative effort.
GraphQL is a syntax that describes how to ask for data, and is generally used to load data from a server to a client. GraphQL has three main characteristics:
It lets the client specify exactly what data it needs.
It makes it easier to aggregate data from multiple sources.
It uses a type system to describe data.
This document discusses GraphQL and its benefits over traditional REST APIs. It provides an example GraphQL query to fetch user data from Facebook's API, including the user's first and last name, number of events, friend suggestions, and number of mutual friends. It then lists some key features of GraphQL like real-time documentation, static type checking, and ability to avoid over- and under-fetching of data.
Introduction to GraphQL Presentation.pptxKnoldus Inc.
GraphQL is an open-source data query and manipulation language for APIs and a query runtime engine. GraphQL enables declarative data fetching where a client can specify exactly what data it needs from an API
GraphQL has made an excellent entree on the API scene. It is reintroducing the original concepts of RPC-style architecture with a revolutionary API consumer-oriented approach. It brought a new option to the stalled waters of RESTful APIs. But more importantly, GraphQL brought back the principal question: What is the right API architectural style for my project?
If you are building an API, this talk should give you enough of the theoretical background to make the right API-decision for your product.
In this talk, we will take a critical look at predominant API architectural style – RESTful APIs and put it in contrast to GraphQL and Hypermedia APIs. We will discuss the expected properties of distributed systems, the consequences of choosing a particular API style, and reflect these findings in the pros and cons of the popular methods.
GraphQL is query language for APIs, but what are the advantages and how would one implement such in their microservices/APIs. In this session, I will go through the basics of GraphQL, different aspects of GraphQL and architecture of such APIs. There will be a demo/live-coding on, how 4 different ways we can implement GraphQL for a Springboot microservice/API. Lots of examples, live coding and helpful comparison on structure, usage and implementations of GraphQL in Springboot & Java world.
Apresentado na React Conf Brasil, em São Paulo, 7 de Outubro de 2017 #reactconfbr
I'm the creator of React Brasil. I'm the software technical lead on Entria. Living on the bleeding edge (React Native, Relay, GraphQL, Redux, Redux-Saga, Koa), I love to contribute to open source projects.
https://github.com/sibelius
@sseraphini
- Patrocínio: Pipefy, Globo.com, Meteor, Apollo, Taller, Fullcircle, Quanto, Udacity, Cubos, Segware, Entria
- Apoio: Concrete, Rung, LuizaLabs, Movile, Rivendel, GreenMile, STQ, Hi Platform
- Promoção: InfoQ, DevNaEstrada, CodamosClub, JS Ladies, NodeBR, Training Center, BrazilJS, Tableless, GeekHunter
- Afterparty: An English Thing
Sashko Stubailo - The GraphQL and Apollo Stack: connecting everything togetherReact Conf Brasil
Apresentado na React Conf Brasil, em São Paulo, 7 de Outubro de 2017 #reactconfbr
I’ve been exploring the space of declarative developer tools and frameworks for over five years. Most recently, I was the founding member of the Apollo project at Meteor Development Group. My greatest passion is to make software development simpler, and enable more people to create software to bring good to the world.
https://medium.com/@stubailo
@stubailo
- Patrocínio: Pipefy, Globo.com, Meteor, Apollo, Taller, Fullcircle, Quanto, Udacity, Cubos, Segware, Entria
- Apoio: Concrete, Rung, LuizaLabs, Movile, Rivendel, GreenMile, STQ, Hi Platform
- Promoção: InfoQ, DevNaEstrada, CodamosClub, JS Ladies, NodeBR, Training Center, BrazilJS, Tableless, GeekHunter
- Afterparty: An English Thing
What if you could create a GraphQL API by combining many smaller APIs? That's what we're aiming for with schema stitching, the new feature in the Apollo graphql-tools package.
This document summarizes a presentation about using the GraphQL query language with Elixir and Absinthe. It introduces GraphQL and discusses its benefits over REST, including strong typing, fetching exact data requirements, and introspection capabilities. Resolvers and the DataLoader library are presented as ways to efficiently fetch data in GraphQL. The document recommends additional reading materials on GraphQL schema design, mutations, and real-world implementations.
The document introduces GraphQL, including how it provides a common interface for client-server data fetching and manipulation. It discusses how GraphQL addresses issues with REST APIs like multiple round trips to the server. Major GraphQL clients like Apollo are presented, as well as how to use GraphQL on the frontend with frameworks like Angular and on the backend by integrating with databases and services. New features in GraphQL like batching, deferred data, streaming, subscriptions, and IDE support are also covered.
This document discusses how GraphQL and graph databases are well-suited for each other. GraphQL allows clients to request specific data in a hierarchical format, while graph databases are optimized for traversing relationships. Translating a GraphQL query to a single graph database query could prevent the "N+1 queries problem" and improve performance. The document demonstrates a proof of concept for translating GraphQL queries to queries in Neo4j and OrientDB graph databases.
In questa breve presentazione vedremo cosa è e cosa ci permette di fare GraphQL, e come questo nuovo approccio alle API possa essere integrato ad una GraphDB in modo efficiente
This presentation focuses on giving an intro to and purpose of GraphQL. Built GraphQL server app with Nodejs. GIT LINK - https://github.com/sreekanth-anubolu/graphql-node-sqlite
This document summarizes a presentation given by Deepu K Sasidharan of XebiaLabs at DevoxxFR 2018 about frontend options for Java developers. It discusses why many Java developers dislike frontend work, myths about the frontend landscape, and how to make Java developers enjoy JavaScript. It also provides a brief history of Angular, React, and Vue.js, highlights of the speaker's favorite and least favorite features of each, and recommendations for choosing a framework. The document concludes by discussing options for starting new projects with Angular and React using tools like the Angular CLI and Create React App, and introduces JHipster for generating full stack applications.
Visual, scalable, and manageable data loading to and from Neo4j with Apache Hop Neo4j
This document discusses Apache Hop, an open source data orchestration platform. It provides an overview of Apache Hop's capabilities for managing data pipelines and workflows. Key features highlighted include its modular architecture, support for technologies like Apache Spark and Neo4j, and focus on ease of use, testing, and community development. The roadmap outlines plans to graduate to a top-level Apache project and improve cloud and mobile support.
Building Fullstack Graph Applications With Neo4j Neo4j
This document provides an overview of graph databases and algorithms using Neo4j. It discusses Neo4j's built-in graph algorithms for pathfinding, centrality, community detection, similarity and link prediction. It also covers Neo4j Streams for real-time graph processing and integrations with Kafka. Grandstack and Neo4j-GraphQL are presented as options for building GraphQL APIs on Neo4j.
Contributing to Apache Projects and Making ProfitsHenry Saputra
This document discusses how companies can work with Apache projects to build organic open source solutions and make profits. It provides examples of how the speaker worked with Apache Shindig and OpenSocial at Yahoo and Jive Software to build social applications platforms. The speaker describes different models for company involvement with Apache projects, from simply using project code to contributing engineers. The document advocates choosing Apache projects that are a good fit and contributing back code and features to benefit the community and reduce long term maintenance costs.
GraphQL - The new "Lingua Franca" for API-Developmentjexp
Three years ago, with the release of the GraphQL specification, Facebook took a fresh stab at the topic of "API design between remote services and applications." The key aspects of GraphQL provide a common, schema-based, domain-specific language and flexible, dynamic queries at interface boundaries.
In the talk, I'd like to compare GraphQL and REST and showcase benefits for developers and architects using a concrete example in application and API development, data source and system integration.
Bloc's Full Stack Web Development Info Session, April 2015TryBloc
Bloc offers flexible yet immersive online bootcamps in Full Stack Web Development, Frontend Web Development, iOS Development, Android Development, and UX/UI Design. In this info session, we'll cover the what's included in the curriculum, group projects, and Bloc's Job Placement Network.
Build, deploy and scale: Django, GraphQL and SPA (DjangoCon EU 2021)Dhilipsiva DS
After building, deploying and scaling a dozen on products with the Django + GraphQL + SPA (React) setup, we have come to understand what works and what does not. In this talk, I will share our findings on how to do the same.
I will be using a simplified StackOverflow clone for demonstration. First, I will introduce Python-Graphene (and few other related libraries), the library that is used to build GraphQL endpoints. Then the talk will focus on how to structure your Django GraphQL project. Share the toolchain (a few management command scripts) that are handy to export your constants & GraphQL schemas to be used with your SPA. Integrating with an SPA (React for demo purpose) Auth, API calls.
Then I will talk about how you go about deploying your API using 2 different strategies:
1. Docker compose / swarm (Vendor independent, non-production workloads)
2. AWS Fargate (Vendor dependant, production workloads, serverless containers)
And a cost-effective and highly scale-able deployment strategy for your SPA (using AWS S3, CloudFront and ACM).
A small attempt to deliver a session on GraphQL Introduction.
I have prepared small Demo by using below technologies: Spring Boot, h2 Database (Server)
Angular 8, Apollo GraphQL Client
The document provides a history of programming languages and low-code/no-code platforms. It discusses the evolution from assembly languages in the 1950s to modern languages like Python, Java, and JavaScript. Low-code is presented as not being a new concept, as software architects had envisioned graphical programming in the future. Examples of popular low-code platforms are provided like Zapier, Node-Red, and PowerApps. Drupal and Acquia products like Site Studio and Mautic are presented as examples for low-code applications in Drupal. Wrapping up, it discusses how low-code is perfect for entrepreneurship but not for complex custom solutions or enterprise projects. Problems and the future of low-code
Over the past several years, as the role of the browser has grown, rich desktop-like apps have emerged built entirely in the browser. To enable this movement, a new generation of powerful JavaScript frameworks have emerged including EmberJS, AngularJS, BackboneJS, and React. In this 30 minute crash course on front end frameworks, Bloc co-founder and CTO Dave Paola will cover the history of front end web development, the recent emergence of these new Javascript frameworks, and go over some of the pros and cons for learning them.
We'll hear from Bloc co-founder and CTO Dave Paola and Bloc Developer Christian Schlensker. Prior to Bloc, Dave was a developer at Kontagent, has over 15 years of software development experience, and has founded numerous other companies. Christian comes to Bloc from Pinchit and TAG where he was a developer. Prior to that, Christian was also a graphic designer.
In our experience, beginners are often overwhelmed by buzz words like "HTML5," "JavaScript," and "Ruby." Without an experienced guide, they can spend months going down rabbit-holes drilling into specific languages, and emerge frustrated that they can't build a real website. Dave will start by helping you visualize the front end web development landscape.
Comparing Angular, Ember, Backbone, and React
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Once you understand the landscape, Dave will introduce the four major front end frameworks that have emerged over the past two years. He'll discuss the pros and cons of learning each one, from the point of view of a beginner. These four frameworks are: AngularJS, EmberJS, BackboneJS, and ReactJS.
Unleashing the Potential of GraphQL with Streaming Data - Kishore Banala, Net...Nordic APIs
A presentation given by Kishore Banala, Senior Software Engineer, Netflix, at our 2024 Austin API Summit, March 12-13.
Session Description: Extend the advantages of GraphQL beyond the UI layer by creating data streams that seamlessly transfer data from Federated GraphQL to your preferred destination. This presentation explores the myriad use cases that can be unleashed, such as Search, Analytics etc., sparing you from the complexity of extensive ETL jobs. Join us for an in-depth exploration of the advantages that arise from seamlessly connecting GraphQL with data streams, opening new dimensions of efficiency and capability.
Functional programming principles are the foundation of design patterns in React. Following FP and design patterns in React leads to optimal solutions. Get to know them!
This document discusses the admin-on-rest React library for building admin interfaces. It provides a highly configurable React admin panel built on top of popular libraries like Redux, Redux-Form, and Material-UI. The library allows defining resources and their CRUD operations in just a few lines of code. It uses Redux and Redux-Sagas to manage data fetching and updating in a RESTful way. The UI is built from reusable components that can be customized through options and themes.
How to migrate large project from Angular to ReactTomasz Bak
Learn migration strategies for large front-end migration projects with an emphasis on continuous business value delivery.
Identify the Bounded Contexts in your application and
make your application more modular.
* Transform - create a parallel new view
* Coexist - leave the existing view for a time, so the functionality is implemented incrementally
* Eliminate - remove the old functionality as users stop using it
Cypress is an e2e testing tool that allows for testing web applications directly in the browser. It provides native access to the browser without using Selenium, making tasks like taking screenshots and recording videos possible. Some limitations are that it only supports single-page applications and one browser tab at a time. Cypress prioritizes developer experience through features like fast testing, intuitive debugging, and integration with continuous integration systems and dashboards. Many large companies have adopted Cypress for their e2e testing needs.
The document discusses working with npm packages. It provides guidance on how to find suitable npm packages based on quality, GitHub activity, and downloads. It outlines steps for modifying existing packages such as forking the repository, making changes locally or as a pull request. The document also describes how to create and publish a new npm package by initializing it with npm, adding metadata to the package.json file, and publishing updates to npm.
How to replace rails asset pipeline with webpack?Tomasz Bak
How to replace rails asset pipeline with webpack?
How to structure webpack.config.js?
What is NPM equivalent of ".ruby-version"?
What is NPM equivalent of "Gamefile.lock"?
The document discusses JavaScript promises and how they can be used to handle asynchronous operations. Promises allow asynchronous functions to return values asynchronously by attaching callbacks to the promise object. This avoids callback hell and makes asynchronous code easier to read and maintain. The document covers how promises can be chained together, executed in parallel, cached, and passed around between functions. It also discusses promise implementations in different frameworks like jQuery, Angular, and how promises can interact across frameworks.
Replacing Rails asset pipeline with GulpTomasz Bak
The document compares the Rails asset pipeline and Gulp for asset management. Both tools concatenate and minify JavaScript and CSS files as well as support preprocessing with CoffeeScript and Sass. Gulp provides additional automated tasks like removing unused CSS, creating image sprites, and checking PageSpeed scores. Integrating Gulp into Rails can be done with plugins like gulp-rev-rails-manifest. The document provides examples of using Gulp for a Rails frontend to isolate assets, commit only installed dependencies to source control, and leverage native frontend package and build systems.
This document discusses testing JavaScript with the Jasmine testing framework. It provides an overview of why to use JavaScript and Jasmine for testing, how Jasmine integrates well with Rails and supports CoffeeScript. It demonstrates sample tests written in JavaScript and CoffeeScript using Jasmine's matchers and other features. Finally, it provides a link to a GitHub repository with a demo of testing JavaScript with Jasmine.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul
Artificial intelligence is changing how businesses operate. Companies are using AI agents to automate tasks, reduce time spent on repetitive work, and focus more on high-value activities. Noah Loul, an AI strategist and entrepreneur, has helped dozens of companies streamline their operations using smart automation. He believes AI agents aren't just tools—they're workers that take on repeatable tasks so your human team can focus on what matters. If you want to reduce time waste and increase output, AI agents are the next move.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
TrsLabs - Fintech Product & Business ConsultingTrs Labs
Hybrid Growth Mandate Model with TrsLabs
Strategic Investments, Inorganic Growth, Business Model Pivoting are critical activities that business don't do/change everyday. In cases like this, it may benefit your business to choose a temporary external consultant.
An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices.
Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company
Talk to us & Unlock the competitive advantage
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex
Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
2. About me
● software developer and architect, speaker, trainer
○ 12+ years of experience
○ 4+ years senior frontend developer
■ Ember, Angular, React
● co-founder of selleo.com
● http://selleo.com/people/tomasz-bak
6. What is GraphQL?
Source: http://graphql.org
● a query language for your API
● created by Facebook in 2012
● key concepts of the GraphQL query language are
○ Hierarchical
○ Product‐centric
○ Strong‐typed
○ Introspective
11. graphql.org
Why GraphQL?
● Ask for what you need, get exactly that
● Get many resources in a single request
● Describe what’s possible with a type system
● Move faster with powerful developer tools
● Evolve your API without versions
● Bring your own data and code
Source: http://graphql.org
13. HowToGraphql.com
The Fullstack Tutorial for GraphQL
Frontend tutorials:
● Ember + Apollo
● Vue + Apollo
● React + Relay
● React + Apollo
Backend tutorials:
● graph.cool
● graphql.js
● graphql-elixir
● graphql-ruby
● graphql-java
● graphql-python
14. Workshops
graphql-ruby (~784k total downloads)
react-apollo (~241k downloads in the last month)
● Based on classic Northwind sample database
● Best Practices, TDD
● Signup, Signin
● Dashboard with charts
● CRUD, validations
● Nested objects
● Filtering and sorting listings