Google is officially moving the Rich Results Test out of beta now that it fully supports all Google Search rich results features. With that being the case, Google has decided it’s also time to ...

Google announced yesterday that the Rich Results Test Tool is out of beta - yay! Google announced with that news that the Structured Data Testing Tool will be deprecated at some point. Google said ...

Google has updated the structured data testing tool page to a page that instructs the user to either go to the rich results testing tool on Google or the schema markup validator on Schema.org. Google ...

A replacement for Google's structured data testing tool is now available, nearly a year after the original was shuttered. A replacement for Google’s Structured Data Testing Tool, called the Schema ...

In July, Google announced it would deprecate the Structured Data testing tool after it released the Rich Results Test tool out of beta. The SEO community was not happy with the news and Google ...

Google announced that it has removed the beta label from the Rich Results Test tool. The tool now “fully supports all Google Search rich result features.” Deprecating Structured Data Testing Tool.

Discover essential factors for choosing the right enterprise testing tool—scalability, integration, usability, cost, and security for better quality.

Blackstone & Cullen has added XML support to its data management tool, so users can easily convert their legacy data into XML documents. Data Commander 2.3--a data testing tool for making legacy data ...

A modern DataOps strategy should prioritize five core DataOps capabilities: data pipeline orchestration, data pipeline ...

Data migration testing ensures that all your data sets and system integrity are maintained when they’re transferred to a different host. Depending on the size of your organization and the work it does ...

Ever wondered what would happen if you launched your web applications without load testing them? You may run into glitches and lose a huge chunk of your customer base due to poor app performance. For ...

Suppose you maintain a large set of data pipelines from external and internal systems, data warehouses, and streaming sources. How do you ensure that your data meets expectations after every ...