Systems | Development | Analytics | API | Testing

5 Tips for Success in E-Commerce With ERP

Our Five Key Points: E-commerce is bigger than ever, with the pandemic propelling changed shopping habits and easier ways for sellers to get their goods online. As e-commerce becomes more of a driving force in the retail sector, it’s inevitable that online businesses will need the same types of support functions as brick-and-mortar businesses — including a fully functional ERP platform.

GraphQL vs REST API: Which is better for API Observability?

API providers need to observe their APIs to get meaningful data about whether and how they are consumed in practice. API observability is a form of monitoring that passively logs API traffic to an observability service. Different from traditional API monitoring, with API observability you: Monitor interactions to improve developer experience Understand how customers use your API Troubleshoot your API Observing REST APIs is well understood and supported, but not every API is a REST API.

Data Legends Podcast: Differentiate or Drown: Managing Modern-Day Data

What are the top three mega trends for data leaders this year (and beyond)? In this episode, we tackle cloud data platforms, the five sub disciplines of observability, and real-time machine learning. Listen to our conversation with Kevin Petrie, Vice President of Research at Eckerson Group. Hear the Answers to these Questions: Why a cloud data platform is a common destination with many routes? Which tools to standardize the different classes of observability? How the interrelationship between model observability and ML works?

Interview With Director of Data Science, Michael Chang

For our latest expert interview on our blog, we’ve welcomed the Director of Data Science and Machine Learning at Included, Michael Chang. Michael helps measure and optimize workforce diversity and inclusion efforts through data. Prior to Included, Michael worked in various data capacities at Facebook, Teach for America, Interactive Corp, and eBay. Michael also enjoys teaching and is an adjunct instructor for data science at UCLA Extension and Harvard FAS.