Systems | Development | Analytics | API | Testing

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Collaboration is Key to Reducing Pain and Finding Value in Data

When it comes to cloud, being an early adopter does not necessarily put you ahead of the game. I know of companies that have been perpetually “doing cloud” for 10 years, but very few that have “done cloud” in a way that democratises and makes data accessible, with minimal pain points. Cloud is an enabler. It makes it easier to collect, analyse, and disseminate information.

What's Coming in Selenium 4: How Can I Contribute?

As the lead of the Selenium project, I wanted to kick off a new blog series leading up to the release of Selenium 4. During this series, I’ll talk all about how the Selenium project works, who is involved, how you—yes, you!—can get involved, and we’ll get a sneak peek at what’s new in Selenium 4. I've been speaking about this off and on for a while, but now the 4.0 release is looming I wanted to start sharing in more depth.

The Impact of Culture On Data and Analytics Adoption During COVID

The COVID-19 pandemic has shone a bright light on the need for flexible and engaging leadership. Most of the recent leadership-themed articles focus on how to bridge the remote-only workplace relationship gap, the importance of increased engagement and empathy, and the need to provide technology that empowers and provides a more equitable work/life balance.

Different Types Of Tools To Help Make Tester's Day-To-Day Life Easier

Testers, in their day-to-day lives, have to do many types of tasks. And to enable them to do those tasks there are many tools in the market too. These tools usually specialize in helping the testers perform a certain task. Sometimes these tools can be used to completely automate the tasks while at other times these tools can make the tasks easier. In this article we will try to broadly categorize these tools. The categories have been created according to when these tools are used.

5 Ways to Slash your Data Platform Costs

Make your data platform faster, better & cheaper with Unravel by joining Chris Santiago, Director of Solution Engineering to learn how to reduce the time troubleshooting and the costs involved in operating your data platform. Instantly understand why technologies such as Spark applications, Kafka jobs, and Impala underperform or even fail! Define and meet enterprise service levels through proactive reporting and alerting.

Migrating Big Data Workloads to the Cloud with Unravel

The movement to utilize data to drive more effective business outcomes continues to accelerate. But with this acceleration comes an explosion of complex platforms to collect, process, store, and analyze this data. Ensuring these platforms are utilized optimally is a tremendous challenge for businesses. Join Mick Nolen at Senior Solutions Engineer at Unravel Data, as he takes you through Unravel’s approach to migrating big data workloads to the Cloud. Whether you’re migrating from