Couchbase Capella Workshop

- Errors? How to render and log your server and client errorsa - When to return errors vs throwb - Setup logging service like Sentry, LogRocket, and Bugsnag- Forms? How to validate and handle multi-page formsa - Use zod to validate form data in your actionb - Step through multi-page forms without losing data- Stuck? How to patch bugs or missing features in Remix so you can move ona - Use patch-package to quickly fix your Remix installb - Show tool for managing multiple patches and cherry-pick open PRs- Users? How to handle multi-tenant apps with Prismaa - Determine tenant by host or by userb - Multiple database or single database/multiple schemasc - Ensures tenant data always separate from others

In this workshop we'll dig deeper into data modeling. We'll start with a discussion about various database types and how they map to GraphQL. Once that groundwork is laid out, the focus will shift to specific types of databases and how to build data models that work best for GraphQL within various scenarios.
Table of contentsPart 1 - Hour 1      a. Relational Database Data Modeling      b. Comparing Relational and NoSQL Databases      c. GraphQL with the Database in mindPart 2 - Hour 2      a. Designing Relational Data Models      b. Relationship, Building MultijoinsTables      c. GraphQL & Relational Data Modeling Query Complexities
Prerequisites      a. Data modeling tool. The trainer will be using dbdiagram      b. Postgres, albeit no need to install this locally, as I'll be using a Postgres Dicker image, from Docker Hub for all examples      c. Hasura

The database can be one of the hardest parts of a web app to scale. Many projects end up using ad-hoc caching systems that are complex, error-prone, and expensive to build. What if you could drop in a ready-built caching system to enable better throughput and latency with no code changes to your application?
Join developers Aspen Smith and Nick Marino to see how you can change one line of config in your app and use ReadySet to scale up your query performance by orders of magnitude today.

In this workshop, you will set up a local full-stack environment and create a React Native Mobile app that runs against that stack. 
Agenda:- Install Oracle 23ai Docker container- Build and run Parse Server with the new Oracle Storage Adapter - Build and run a Walking History React Native mobile app against the stack
Walking History is a React Native application that allows you to walk around New York City (or simulate that in a device emulator) and it tells you about the closest attraction or point of interest.



Supabase and Remix make building fullstack apps easy. In this workshop, we are going to learn how to use Supabase to implement authentication and authorization into a realtime Remix application. Join Jon Meyers as he steps through building this app from scratch and demonstrating how you can harness the power of relational databases!

Welcome to Fauna! This workshop helps GraphQL developers build performant applications with Fauna that scale to any size userbase. You start with the basics, using only the GraphQL playground in the Fauna dashboard, then build a complete full-stack application with Next.js, adding functionality as you go along.

In the first section, Getting started with Fauna, you learn how Fauna automatically creates queries, mutations, and other resources based on your GraphQL schema. You learn how to accomplish common tasks with GraphQL, how to use the Fauna Query Language (FQL) to perform more advanced tasks.

In the second section, Building with Fauna, you learn how Fauna automatically creates queries, mutations, and other resources based on your GraphQL schema. You learn how to accomplish common tasks with GraphQL, how to use the Fauna Query Language (FQL) to perform more advanced tasks.