Simplifying Big Data in a Multi-Cloud World with Streamlined Workflows

Simplifying Big Data in a Multi-Cloud World with Streamlined Workflows

Published by: Research Desk Released: Jul 10, 2019

Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloudbased source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered through dashboards, reports, and data warehouses—often using cloud-based apps.