3 years ago

Category: Business, Database, Data, Kubernetes, Infrastructure, Architecture, containerization, automation, artificial-intelligence

by Digital disrupters have made use of innovations in AI, serverless data platforms, and seamless analytics that have completely upended traditional business models.

However, as businesses strive to implement the latest in data technology—from stream processing to analytics and data lakes—many find that their data architecture is becoming bogged down with large amounts of data that their legacy programs can’t efficiently govern or properly utilize.

This allows each business domain to organize their data in a way that is more consumable for their users.

Data Infrastructure-as-a-Platform – these services provide common tools and capabilities for storage and management and empower data producers to implement their data requirements quickly without the hassle of building their own platform.