How real-time data movement boosts supply chain visibility
Manufacturers are transforming their supply chain with Fivetran's automated and scalable real-time data movement.
Manufacturers are transforming their supply chain with Fivetran's automated and scalable real-time data movement.
It’s no secret that IT modernization is a top priority for the US federal government. A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage.
A performance study on real-time data Integration from Oracle to Google BigQuery Using Striim.
Learn about our reimagined mobile test automation pyramid for modern DevOps practices. With the mobile market growing explosively and customer expectations increasing just as rapidly, today’s mobile app development and QA teams are under tremendous pressure to deliver constant updates for their apps while providing a continuous and seamless user experience.
Data structure and type validations are so essential in modern Rails apps. You've probably used Active Model validations and strong parameters, but did you know there is a better way? This article introduces the dry-schema gem—a faster alternative to the defaults!
When performance testing you need a set of requirements to measure your response times against. When defining these you should do so with your end users or business teams. It is relatively easy to predict volumes, load and users that will use your application as you will no doubt have some data based on your current systems. It is a lot harder to agree on what the response times of your application should be.
In Golang, wrapping errors means adding more contextual information to the error which has been returned. For example, the additional information could be the type of error, the cause of the error, or the name of the function where the error is raised. Wrapping is very useful for debugging since you can precisely and quickly locate the source of the problem.