We've updated our build scheduler! You can now choose between our flexible scheduler for easy setup or use cron syntax for more precise control over your builds.

According to the NIST research, the cost of detecting and fixing software defects exponentially increases over time. Shift left testing highlights the importance of testing early and frequently in the software development lifecycle (SDLC) to ensure that errors are identified and fixed as soon as possible. This method aligns closely with Agile Testing and DevOps Testing philosophies, which emphasize early and continuous integration.

Built on the foundation of Apache Spark, Databricks is a unified, open data lakehouse platform that empowers customers to efficiently and cost-effectively process, store, manage, and analyze large volumes of enterprise data.

Cypress only supports JavaScript and Selenium offers more flexibility, but each has their benefits and drawbacks. Find out which testing option is right for you.

Learn how a data fabric can add value by maximizing the value of a company’s data infrastructure.

Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods.

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. Nearly two years ago, Cloudera announced the general availability of Apache Iceberg in the Cloudera platform, which helps users avoid vendor lock-in and implement an open lakehouse. With an open data lakehouse powered by Apache Iceberg, businesses can better tap into the power of analytics and AI.