Data ingestion architecture for telecom applications

The purpose of data pipelines is to facilitate access to high-quality data for applications ranging from network management and customer experience management (CEM) to business analytics, product serviceability, artificial intelligence (AI)/machine learning (ML) model training, tailored service offerings and AI for Internet of Things solutions. As many of these applications use the same data sets, a harmonized data ingestion architecture boosts efficiency and makes it possible to focus application development resources on use case realizations rather than on data management.