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Self service analytics (also called self-service business intelligence, or self-service BI) is a term commonly used among analytics vendors and organizations adopting BI, often in the context of being the next big thing in driving more people to use data to find insights. But what is self service analytics? How does self service analytics work? And why does self service analytics matter?

With the Apache Spark 3.1 release in early 2021, the Spark on Kubernetes project has been production-ready for a few years. Spark on Kubernetes has become the new standard for deploying Spark. In the Iguazio MLOps platform, we built the Spark Operator into the platform to make the deployment of Spark Operator much simpler.

Gherkin language is a simple yet effective syntax for describing the specifics of your User Stories. Although Gherkin's Given-When-Then structure has been available for over a decade, many groups still don't make use of it.

Banks and financial institutions are highly regulated, where any noncompliance with strict rules and regulations can lead to heavy fines. Add to that skyrocketing customer expectations and it’s easy to see why finance is so competitive. Success in this environment requires accountability, coupled with process efficiency and the ability to optimize for continuous improvement. How do you get there? Process mining in finance is quickly becoming integral to success.