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TPDP Episode #20: GraphQL For API Development

I am pleased to announce that the latest episode of The Polyglot Developer Podcast is available for download! If you’ve been keeping up with the blog recently, I’ve published quite a bit of content around GraphQL as I personally believe it to be the future for API development. Being able to access related and unrelated data on demand through a single endpoint is huge for the people consuming your data and huge for the developers creating the data because of specific model definitions.

In this episode titled, GraphQL for API Development, I’m joined by Lee Byron, one of the co-creators of GraphQL at when he worked at Facebook. Lee gives us all the details on how GraphQL came to be, why it is huge for development, and how to use it successfully in your next application.

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Simple Data Processing With JavaScript And The HERE API

Have you ever needed to work with comma separated value (CSV) data that wasn’t formatted in a great way or figure out complete address information based on very little provided address information? While unrelated, these two topics come up quite a bit, more frequently when I’m dealing with person information or lead data that I retrieve from conferences and other events.

The great thing is that we live in a time where plenty of development libraries and services exist to make this process of data parsing and manipulation easy to accomplish in an automated fashion.

We’re going to see how to take a CSV file representing partially complete people data and convert it to JSON. Then we’re going to fill in the gaps when it comes to the geolocation side of things, using the HERE Geocoder API.

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JWT Authorization In A GraphQL API Using Golang

If you’ve been keeping up, you’ll remember I released a very popular tutorial titled, Getting Started with GraphQL Using Golang which was more or less a quick-start to using GraphQL in your web applications. Since then, I demonstrated an alternative way to work with related data in a tutorial titled, Maintain Data Relationships Through Resolvers with GraphQL in a Golang Application. Both articles are great, but they left out an important feature that most modern APIs must have. Most modern APIs must have a way to authorize particular users to access only certain pieces of data and not all data offered by the service.

One of the most popular ways to enforce some kind of authorization in an application is through the use of JSON web tokens (JWT). Users authenticate with a service and the service responds with a JWT to be used in every future request so that way the password is kept safe. The service can then validate the JWT to make sure it is correct and not expired.

We’re going to see how to protect particular GraphQL properties as well as entire queries using JSON web tokens and the Go programming language.

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Getting Started With GraphQL Development Using Node.js

I’ve been playing around with GraphQL for a little over a month now, just to see if it is worth all the buzz it has been getting when it comes to modern API development. I must say that the more I use it, the more I’m coming to like it.

I recently wrote a few tutorials around getting started with GraphQL using Golang, but being the polyglot that I am, I wanted to see how difficult it would be to accomplish the same in something else, like Node.js. After having made an attempt, I found that it really isn’t any different as it is the same concept, just a different language.

We’re going to see how to get started with developing a web application with Node.js that can be queried with GraphQL rather than the traditional RESTful API endpoint approach.

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Getting Started With GraphQL Using Golang

I’ve been hearing increasing amounts of buzz around GraphQL, a technology that has been around for quite a few years now. In case you’re not familiar, it is a technology for querying API data from a client-front end without having to make numerous requests or receiving unimportant data, both of which may cause negative affects on network latency.

Think of trying to query a relational database. Ideally you write a SQL query for the data you want and you do it in a single request. GraphQL tries to accomplish the same, but from an API consumption level.

We’re going to see how to implement a web application using the Go programming language, but uses GraphQL when working with the data.

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A Vue.js App Using Axios With Vuex

In this tutorial we will build a simple Vue.js application which will demonstrate the power of using Vuex as a central data store, where the data will be asynchronously retrieved using Axios for the API requests.

A basic level of HTML, CSS and JavaScript will be beneficial but is not required.

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Convert A Node.js RESTful API To Serverless With OpenWhisk

When it comes to serverless solutions, there are many options available. If you’re a fan of the Microsoft cloud, you could create Azure Functions. If you’ve been keeping up, I wrote a tutorial called, Take a Node.js with Express API Serverless Using AWS Lambda, which used the Amazon Web Services cloud. Another solution is Apache OpenWhisk, a solution available on IBM’s Bluemix cloud.

We’re going to see how to convert the Node.js with Express application that I had written about in a previous article, and make it serverless with OpenWhisk.

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