Systems | Development | Analytics | API | Testing

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 These outdated systems, known as legacy systems, put companies at a huge disadvantage compared with competitors embracing modern technology.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.

In Golang, the WithMessage() method allows you to annotate errors with an additional message. Often, error values by themselves don’t give enough context to be useful in debugging. Take, for example, Golang’s basic error handling technique: In Golang, errors are treated as values, so err contains the error value. In this situation, a developer could make use of the error package to add context to the code along with the failure path without destroying the original value of the error.