Systems | Development | Analytics | API | Testing

Ever wonder where Selenium (the testing framework, not the mineral) came from? Here’s a short history of the technology. Ever wonder where Selenium came from? Here’s a short history of the world's most popular open source automation framework, from its origins as a proprietary tool for timecard entry, through the present era of Selenium WebDriver and the W3C standard.

Automation is critical for a holistic software testing strategy in today’s DevOps cycle. Efficient automated QA systems run by talented engineers can shorten development times, improve time to release, lower costs, and drive scale. It’s worth noting that nearly a quarter of companies that initiated automated software testing showed an ROI within the first six months. Sounds perfect, right?

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This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes. Five things to know about this topic.

Data integration can be a daunting task, and data engineers usually prefer open-source ETL solutions because of their transparency (you can always inspect the code), flexibility (tinker with the tool), and price performance (no vendor licenses, no maintenance fees). But there are many “gotchas!” with open-source tools you need to consider before picking the best tool for the job.

The past two decades have seen enterprise IT emerge and grow, bringing many innovative technologies into the workplace. Every year that passes promises IT system upgrades rendering some systems and programs obsolete much sooner than in tech’s early days. Yet some older hardware and software remain in use. These outdated systems, known as legacy systems, put companies at a huge disadvantage compared with competitors embracing modern technology.

BigQuery performance helps Soundtrack Your Brand transform big data into music to offer businesses personalized music recommendations.