Fivetran and Atlan team up to power modern data governance
Joint customers can move faster with more visibility across their entire data stack, helping data teams collaborate better with increased trust in their data.
Joint customers can move faster with more visibility across their entire data stack, helping data teams collaborate better with increased trust in their data.
As we all know, APIs are absolutely everywhere. APIs power almost every aspect of a modern tech business and even non-tech businesses. You may have an internal API that is used by developers to power internal systems and external APIs which expose functionality more publicly. As with any functionality, APIs can also be used to drive revenue by selling them to users in need. Whether you’re selling a REST API, GraphQL API, or other API, learning how to sell your API has become a popular ask.
The growth of big data has scattered data sources throughout the enterprise, tucking them away in silos and making them hard to find. But there is more to data than just storing information in an operational data store or running analytics from a data warehouse. For example, regulated industries have requirements needing tighter control over the data.
Security Assertion Markup Language (SAML) is an XML-based open standard that allows organizations to set up single sign-on (SSO) across multiple websites and applications. SAML 2.0 is the latest standard, and was ratified in March 2005, replacing SAML 1.1. We’ll refer to SAML as meaning SAML 2.0 for the remainder of this document. SAML is mostly used as a web-based authentication mechanism as it relies on using the browser to broker the authentication flow.
Ruby on Rails is one of the most popular Ruby frameworks, but it's not the only one. Hanami 2.0 is faster than Rails and packed with exciting features—it might be the tool you need for your next project!
Here are some easy steps to follow in order to sucessfully do a load testing session for your newly created website.
You'll need to understand the six key components of a data pipeline and overcome five important technical challenges.