Architecting Data Orchestration: Four Use Cases

Originally published on ABSTRACT: This blog explores four use cases for data orchestration and examples of the supporting architectural elements. Modern analytics projects rely on a hodgepodge of compute clusters, data stores, and pipelines, flung across countries and continents. Enterprises struggle to meet performance SLAs without replicating lots of data or moving and re-coding … Continued

Data Orchestration: Simplifying Data Access for Analytics

Originally published on¬†¬† The problem with data modernization initiatives is that they result in distributed datasets that impede analytics projects. As enterprises start their cloud migration journey, adopt new types of applications, data stores, and infrastructure, they still leave residual data in the original location. This results in far-flung silos that can be … Continued