The PHP ErrorException class is meant to be thrown explicitly to catch and handle errors that would otherwise be ignored, such as Notices or Warnings.

Gaining insights from your data can be time-consuming. Or as simple as a few clicks. Depending on if you want to do everything by yourself, or if you let us help. For example, next time one of your stakeholders asks: “Can you deliver the dashboards by the end of next week?” You can say yes with confidence, and in this blog we are going to show you why and how it is done.

Live experiences are at the heart of the modern web. And delivering them to small audiences is relatively easy, thanks to protocols such as WebSockets. But there is a challenge. The difficulty involved in scaling WebSockets is non-linear. In other words, there comes a point where serving more clients demands significantly more complex architecture.

Automated software testing powers faster releases and higher-quality user experiences. As developers make changes to the applications, automation engineers, test leads, and developers work together to resolve issues that occur on some of the automated tests. Test failure analysis activities allow these teams to perform root cause analysis (RCA) for these failures. These activities can take increasing amounts of time as the scale of automated testing grows.

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Current data architecture is going through a revolution. Enterprises are starting to shift away from the monolithic data lake towards something less centralized: data mesh. Data mesh is a relatively new concept, first coined in 2019, that addresses potential issues with data warehouses and data lakes that can cause businesses to be slow, unresponsive, or even suffer from data silos. Data mesh benefits are able to provide a wealth of advantages to your business.

Too many organizations start their data projects at the wrong end of the pipeline. Although challenges with data quality, integrity, access, and visibility are all important issues to address, a project should never start with the data. The reality is that all investments in data are meaningless if no business value can be gained. And this requires starting at the other end of the spectrum - evaluating the business problem to identify how data can help drive change within the organization.

Test automation is becoming a critical part of the development lifecycle across all types of products and industries. As automation exponentially increases test complexity, testing teams need a unified, structured solution for automated test management to ensure the highest quality product. To meet this need, the latest Helix ALM Release 2022.2 delivers enhanced automated test management capabilities.

Manufacturing companies face complex challenges in a competitive landscape. To meet these enormous challenges, manufacturers have long invested in continuous improvement methodologies like lean manufacturing. Also, increasing numbers of manufacturers are adapting and investing in Industry 4.0 technologies to tame the complexity by increasing automation, adopting smart machines, and enhancing smart factories.

Yellowfin converts your data into visual Reports and then helps you to create Dashboards and Stories to present these reports to your customers. The Reports are usually a combination of data fields and charts. Charts are a significant component of any report. They help customers understand the data quickly and give your report or presentation clarity and authority.