Four ways to write faster data models with Wizard for dbt Core
Transforming your data is an essential part of ELT. Learn how Fivetran’s Wizard for dbt Core™ and BigQuery can help.
Transforming your data is an essential part of ELT. Learn how Fivetran’s Wizard for dbt Core™ and BigQuery can help.
Today is an exciting today for us here at Tricentis! We’re introducing two brand new products: Test Automation for Salesforce and Test Management for Jira. We’re also releasing a major upgrade of NeoLoad for performance testing. Together, these new releases will enable customers to deliver new capabilities and workflows to their business faster, collaborate more efficiently among product teams, and enhance digital experiences for all end users.
We are excited to announce the release of Tricentis Test Management (TTM) for Jira in the Atlassian Marketplace, designed specifically for organizations who want to place test management directly within Jira. With TTM for Jira, QA, development, and the business can collaborate closely to deliver quality software together.
In this Blog Post we are going to discuss performance testing in production. Now before you think we have gone mad and lost our minds completely this is not as crazy as it sounds. Production is an environment that: All the things you spend a significant amount of time getting right in your performance testing environment and that can be difficult to achieve. Therefore, it seems like the perfect environment to performance test in.
The growth of a code base is unpredictable. To account for this uncertainty, we call on everything we've learnt in the last x years about how to scale an application effectively: adopting naming conventions, creating file and folder structures, using the latest patterns, and producing sensible abstractions. These actions add up over time. Eventually, you'll mentally high-five your past self for having taken the time to do them ✋.
The rise of remote work has brought forward relatively new software products called time trackers. As more and more companies were going remote, they needed a way to monitor their employees’ work to ensure proper workflow. That’s when they started to use time trackers. Despite the general resistance towards time trackers, time and proper use proved them important. Both companies and employees realized how beneficial time trackers can be both for the company and for personal use.
Generators are a powerful feature you can use to automate routine tasks in Rails—but do you know how to make your own? This article explores Rails generators in depth, including how to build a generator from scratch.
The Python AttributeError is an exception that occurs when an attribute reference or assignment fails. This can occur when an attempt is made to reference an attribute on a value that does not support the attribute.
Mobile teams need to consider these four things to ensure they are measuring and managing code quality. Because at the end of the day, good code is clean and well-managed code.