Topic "Informatica Platform"

Data Processing Pipeline Patterns

Data produced by applications, devices, or humans must be processed before it is consumed. By definition, a data pipeline represents the flow of data between two or more systems. It is a set of instructions that determine how and when to move data between these systems. My last blog conveyed how connectivity is foundational to a... more

The 3 Principles of DataOps to Operationalize Your Data Platform

It’s becoming clear that data-driven organizations are struggling to keep up with all their enterprise data and manage it to their strategic advantage.  Despite the vast amounts of data available to us, we still can’t provide cost-effective quality healthcare to the elderly, too many companies are not delivering great multi-channel customer experiences, and they can’t... more

Top 10 Principles of an Intelligent Data Platform

As someone with many years of experience in product development, I can tell you it makes a difference when you have an overall vision to guide you. A few years ago, we introduced the Intelligent Data Platform (IDP), the industry’s most complete, modular, microservices-based architecture for data management. The idea is that you can evolve at your own pace, tackle your most pressing data... more

Enter The Digital Product Factory

In my last post about Data Monetization I touched upon the concept of a Digital Product Factory. Today, I would like to outline why a factory-style R&D process is a must-have when monetizing your data, no matter in what consumption pattern; data feed, analytics or application. Furthermore, I will highlight how data governance will play... more