Systems | Development | Analytics | API | Testing

In this episode, Derric Gilling chats with James Higginbotham, founder of LaunchAny, about designing successful API strategies that drive business value. James dives into his “Align-Define-Design-Refine” (ADDR) methodology, a framework that guides organizations from initial business alignment through iterative API design and deployment. Drawing from over a decade of experience helping companies mature their API programs, he shares practical tips on blending business goals with technical execution, empowering cross-functional teams, and maintaining consistency across the API lifecycle.

Nate Lee discusses the benefits of developers using service mocks, highlighting how they allow teams to simulate APIs and external services during development and testing. This approach enables developers to work independently of backend systems, reduce dependencies, and catch issues early, ultimately improving productivity and software quality.

With Qlik’s Anomaly (Spike) analysis type, you don’t just see the obvious — you uncover the hidden outliers buried deep in your data. Just pick your measure and time field... ...and boom — hashtag#Qlik surfaces the real anomalies in seconds. You also get narrative insights showing biggest spikes. smallest drops and total anomalies. No guesswork. Just instant, actionable insight. Let Qlik do the heavy lifting — so you can move faster, smarter.

Are you struggling to predict and control Databricks costs? You're not alone—accurate forecasting of cloud costs remains a significant challenge for 80% of data management experts (Forrester). Join us for this session in our Weekly Walkthrough series, "Controlling Cloud Costs," where we'll explore how to remove the guesswork from forecasting costs in Databricks. You’ll gain invaluable insights into transforming your approach to cost management from reactive to proactive. With Unravel's Data Actionability Platform, you can forecast costs precisely and take immediate action to optimize spending.