Generating files for data extracts, reporting and even data migration is a crucial part of any back-end team. A typical data team will have to generate many files to be sent to various clients or consumers inside or outside of the organisation. As with all things, the question is how can the generation of those files be made simpler, and can it be automated to such a degree that files are dynamically generated? The short answer is yes, it can be done dynamically.

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008.

Experts predict that the global enterprise data management market will grow at a compound annual growth rate of 12.1% until 2030. Your organization’s database management system (DBMS) stores all the enterprise data you need for software applications, systems, and IT environments, helping you make smarter data-driven business decisions. Here are the key things to know about database schema design.

Test data management (TDM) is usually ignored despite its undeniable contribution to the overall success of the testing process. In complex testing projects with many test scenarios to cover, test data management is a highly critical area to optimize for. QA teams need diverse and comprehensive test data to achieve higher test coverage, and that brings up the need to have a separate place where that data is properly stored, managed, maintained, and set up for future testing.

QA Puppeteer is among the top Node.js libraries widely used for headless Chrome testing. It allows testers to do web scraping, taking screenshots, filling out forms, and many more automated testing activities. However, there comes a time when these capabilities are not enough, and testers need to find a Puppeteer alternative.

We're thrilled to announce the general availability of Kong Gateway 3.6. This version features a high-performance compression algorithm, efficient route matching, and improved observability. Plus, Kong AI Gateway, which you can learn more about here. Let’s dive into the enhancements and explore the tangible benefits these features bring your organization. Looking for more enterprise-grade features? Check out what's new in Kong Gateway Enterprise 3.6.

We're thrilled to announce the general availability of Kong Gateway Enterprise 3.6. This version brings security, efficiency, and standards conformance to enterprise applications. Plus, Kong AI Gateway, which you can learn more about here. Let’s dive into the enhancements and explore the tangible benefits these features bring your organization.

According to Gartner, JIRA is still one of the most popular application lifecycle management (ALM) technologies in many enterprises, with a rating of 4.4 out of 5 for its features. Determining an “issue permission” enabled with the proper security constraints and balancing its project access control is always a difficult challenge in an enterprise JIRA setup.

Unlock blockchain data on Google Cloud BigQuery by using Subsquid, analyze usage trends and more across multiple chains.

In a nutshell, here's the biggest difference between Angular and React: With Angular, you get a standardized approach to everything. It’s a structured environment that gives you clear direction and all the resources you need within arm's reach, minimizing venturing outside for additional tools or materials. React, on the other hand, resembles a playground where you're handed the basic building blocks and left to your own devices.