Talk recap: “Modernizing Application Development with Planet-scale GraphQL & Distributed SQL”. Includes what is GraphQL, why GraphQL, why Hasura GraphQL Engine, and a GraphQL production checklist, focusing on performance, security, & reliability.
At the Distributed Summit 2020 , Allison Kunz, Solutions Engineer at Hasura, presented the talk “ Modernizing Application Development with Planet-scale GraphQL and Distributed SQL”. In the talk she covered what is GraphQL, why GraphQL, why Hasura GraphQL Engine, and a checklist of what it takes to have enterprise-grade GraphQL APIs in production, focusing on performance, security, and reliability. She also showed a demo of Hasura Cloud in action.
In her talk, Allison defines GraphQL as an API spec, like REST or SOAP. Originally created by Facebook, GraphQL was open sourced in 2015 and is now guided by the independent GraphQL foundation. It is data source agnostic, growing in popularity, and is supported by an enthusiastic community. The community is enthusiastic because of the many benefits GraphQL provides, such as automated documentation and auto-suggestion while writing queries, elimination of over-fetching of data, and reduced friction on both the frontend and backend supporting modern data-driven services. All of these benefits are great, especially for highly interconnected data and mobile applications.
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
Debug SQL stored procedures and develop your SQL database project with dbForge SQL Complete, a new add-in for Visual Studio and SSMS. When you develop large chunks of T-SQL code with the help of the SQL Server Management Studio tool, it is essential to test the “Live” behavior of your code by making sure that each small piece of code works fine and being able to allocate any error message that may cause a failure within that code.
This article provides an outlook on various types of subqueries in SQL such as select or other T-SQL statements and caveats when using them.
This is part 3 of “MS SQL Server- Zero to Hero” and in this article, we will be discussing about the SCHEMAS in SQL SERVER. Before getting into this article, please consider to visit previous articles in this series from below.
Are you interested in learning how to translate your existing SQL Server expertise to Azure SQL including Azure SQL Database and Azure SQL Managed Instance? In this episode, Bob Ward, Anna Hoffman, and Marisa Brasile announce all-new content on YouTube, Github, and Microsoft Learn to help you become an Azure SQL professional.