Systems | Development | Analytics | API | Testing

Most individuals who work in technology — and in particular, cloud computing — are likely aware of how service-oriented architecture (SOA) and microservices work. There is much discussion, however, regarding the best approaches for various situations. There are crucial differences in data governance, component sharing, and the architecture between SOA vs. microservices. In this article, you'll learn the basics of SOA vs.

Help your team develop the appropriate skills to win in the age of data-driven marketing.

Three thought leaders explore how cloud technology is reshaping data architecture and revolutionizing analytics.

A complete expert guide on blog SEO – from writing SEO-friendly blog posts, to updating old posts and using Databox to find content update opportunities.

Regardless of how technically sound the engineering of an app is, bugs, errors, and crashes can happen. So when they do, you must recover from it by doing a deep analysis of the technical aspects and the impact on the overall customer experience. If your crypto-exchange or banking app is not getting the right insights you need from the crashes, your churn rate and your customers will definitely let you know sooner than you think.

The Health Insurance Portability and Accountability Act of 1996 (HIPAA) is a U.S. federal law. It sets national standards for health care providers to maintain the privacy of patients' protected health information (PHI), including electronically protected health information (ePHI). If you collect, store, or process any kind of patient or medical data, you need to be aware of HIPAA and how it affects your operations. But what does it really mean to be HIPAA compliant?

It’s no secret that what companies need from their data and what they can actually get from their data are two very different things. According to our recent survey, most executives work with data every day, but only 40% of them always trust the data they work with. We also discovered that 78% of them have challenges making data-driven decisions. Virtually every business is collecting more data than ever before, so lack of data can’t be the issue.

Apache Spark is a very popular analytics engine used for large-scale data processing. It is widely used for many big data applications and use cases. CDP Operational Database Experience Experience (COD) is a CDP Public Cloud service that lets you create and manage operational database instances and it is powered by Apache HBase and Apache Phoenix.