Use these five strategies to align key resources and ensure that insights guide your decision-making.

Data Scientists can drive innovation and growth, but you need to put in place the right foundation to fully unlock business value.

Keep in mind that these instructions are a starting point. You may need to change some of the steps to harden your environment when running in production. For more detailed information, visit our Kong Gateway documentation.

Spring Boot is a powerful application framework for creating production-grade Spring based Applications. It allows for developers to very quickly and easily get sites up and running, with databases and more. In this tutorial, we’ll be going over WebSockets, Pub/Sub, and how to make the most out of these in your Spring Boot applications.

As an R&D manager, there are many things on my mind that keep me up at night. These thoughts range anywhere from impossible research explorations, employee motivation, rising cloud costs, all the way to security incidents. However, there is one that sweeps all of them aside when they surface and that is solving customer facing issues.

As a startup in the fintech sector, Branch helps redefine the future of work by building innovative, simple-to-use tech solutions. We’re an employer payments platform, helping businesses provide faster pay and fee-free digital banking to their employees. As head of the Behavioral and Data Science team, I was tapped last year to build out Branch’s team and data platform. I brought my enthusiasm for Google Cloud and its easy-to-use solutions to the first day on the job.

Last week, insurance industry expert Rob Galbraith introduced us to “The 7 Fatal Flaws of Insurance." This week, Galbraith weighs in on low-code automation as a competitive advantage in the $5 trillion insurance industry. “For a $5 trillion industry as mature as insurance," says Galbraith, “technology that can help solve any one of the seven fatal flaws would make a pretty good business. There's a lot of room for improvement.”

These days, speed is everything in software development. As companies try to keep up with the rush to create new software features and test code, they rely on technology advances to meet tight release schedules (without sacrificing quality). Software testing technology in particular has solved many quality assurance challenges and allowed businesses to focus on developing applications that delight their customers.

In 2011, Pope John Paul II was beatified, Prince William married Kate Middleton, "Game of Thrones" premiered, and Xplenty was born. On a quiet sycamore tree-lined street in Tel Aviv, Israel, breathing distance from Kiryat Sefer Park, the then-startup had just launched a game-changing Extract, Transform, Load (ETL) tool to process, transform, and move data at speed and generate big data analytics at scale. It would become the most advanced data pipeline platform on the planet.

With 9.5, we've focused on providing new capabilities and enhancements for everyone involved in the data to design workflow - analysts, developers, users - that streamline processes, introduce functional improvements and enrich the analytic experience for all. For the full list of updates, please read the release notes and check out our release highlights video below to see some of these new enhancements in action for yourself.