OneSchema

A seasoned .NET architect compares Blazor and React, from npm security risks to .NET 10 performance, and explains when each framework makes sense.

Blazor vs React: Why This .NET Architect Finally Picked a Side

GraphQL is a great technology for REST microservices. Learn how to create a data layer for microservices, without writing any code!

How to Build a GraphQL Data Layer for REST Microservices 

Scandals like Cambridge Analytica and fake news became all the rage in the past years.

6 Trust Signals You Can Implement Today to Increase Your Google Traffic

I’ve spent the last 10 years of my life as a System Engineer, which means when I first had to build an API, I had no idea how to do it. I knew python quite a bit since as a SysAdmin I often had to write some smaller or bigger scripts, but building the whole API was a challenge for me. Sure — I could just google the phrase and find dozens of tutorials on how to build an API, but all of them were somehow complicated or created for raw developers (which means — with assumptions that you know already all the tools and frameworks that developers use). 

How To Build An API Without Coding [Python]

Some time ago I was working on a GraphQL project that includes activities and each activity can have some comments with the info of the user that created the comment. The first thing that you might think is that it is a problem of query n + 1&nbsp;, and yes; it&nbsp;is!

How I started doing load testing on GraphQL without writing a single Query

You have firmly decided that you want to learn to create applications for Android using Kotlin. You are super motivated to create your first application.

Why Should I Learn Android?

In <a href="https://hackernoon.com/dive-into-graphql-part-i-whats-wrong-with-rest-709ebcb898dc" target="_blank">the first post</a> of the <a href="https://marmelab.com/blog/2017/09/03/dive-into-graphql.html" target="_blank">Dive Into GraphQL Series</a>, I’ve explained why REST isn’t such a good fit for today’s web and mobile applications. REST makes applications slow, harder and more expensive to develop, and too limited in functionality. We need a new hero, an architecture that allows to:

Dive Into GraphQL Part II: Anatomy of a GraphQL Query

<em>GraphQL is a new way of building APIs through a strongly typed query language. Released by Facebook in 2015, GraphQL is quickly gaining traction and is being adopted by other huge companies such as Twitter and Github. In this article we’ll walk through how to set up an API with Express and Apollo Server, and how we can structure a GraphQL schema to keep it manageable.&nbsp;<br>As a bonus we’ll add hot reloading to our API as well.</em>

Creating a structured, hot-reloadable GraphQL API with Express.js,

Here, we have designed and developed a flow for OTP(One time password) for user registration and also blocking a user's account after the maximum retries for incorrect otp is exceeded.

One-Time Password Generation Using speakeasy, Nest.js And MongoDB

Big Data has become synonymous with data engineering. But the line between Data Engineering and Data scientists is blurring day by day. At this point in time, I think that Big Data must be in the repertoire of all data scientists.

The Hitchhiker's Guide to pySpark DataFrames

Earlier this week, Microsoft announced that is continuing its acquisition spree by <a href="https://www.zdnet.com/article/microsoft-buys-machine-learning-startup-bonsai/" target="_blank">purchasing machine learning startup Bonsai</a>. The should not be completely surprising as Microsoft had already indicated its interest in Bonsai by <a href="http://www.businessinsider.com/microsoft-and-nea-invest-76-million-in-bonsai-ai-2017-5" target="_blank">leading a $7.6M investment round in the startup last year</a>. I’ve written about Bonsai extensively before but today I would like to dig deeper into the elements that make this platform unique in the deep learning space.

Technology Fridays: Why Bonsai is a Great Addition to Microsoft’s AI Stack

This article provides a detailed walkthrough of how to achieve full data synchronization from MySQL to PostgreSQL using Apache SeaTunnel 2.3.9. 

Stop Fighting Data Sync Issues—This Guide Makes MySQL-to-PostgreSQL Transfers Easy

Apache Kafka provides Schema Registry capabilities. There are three types of transitive compatibility. 

Transitive Compatibility Types in Schema Registry for Apache Kafka

Learn Kafka Schema Evolution: Understand, Manage & Scale Data Streams with Confluent Schema Registry. Essential for Data Engineers & Architects.

Kafka Schema Evolution: A Guide to the Confluent Schema Registry

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OneSchema's stories on HackerNoon

Blazor vs React: Why This .NET Architect Finally Picked a Side

How to Build a GraphQL Data Layer for REST Microservices

6 Trust Signals You Can Implement Today to Increase Your Google Traffic

How To Build An API Without Coding [Python]

How I started doing load testing on GraphQL without writing a single Query

Why Should I Learn Android?

Dive Into GraphQL Part II: Anatomy of a GraphQL Query

Creating a structured, hot-reloadable GraphQL API with Express.js,

One-Time Password Generation Using speakeasy, Nest.js And MongoDB

The Hitchhiker's Guide to pySpark DataFrames

Technology Fridays: Why Bonsai is a Great Addition to Microsoft’s AI Stack

Stop Fighting Data Sync Issues—This Guide Makes MySQL-to-PostgreSQL Transfers Easy

Transitive Compatibility Types in Schema Registry for Apache Kafka

Kafka Schema Evolution: A Guide to the Confluent Schema Registry

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