Bridging to a hybrid cloud data services architecture

Post Comment

Enterprises are increasingly evolving their data infrastructures into entire cloud-facing environments. Interfacing private and public cloud data assets is a hallmark of initiatives such as logical data warehouses, data lakes and online transactional data hubs. These projects may involve deploying two or more of the following cloud-based data platforms into a hybrid architecture: Hadoop, data warehouses, graph databases, NoSQL databases, multi-workload SQL databases, open source databases, data refineries and predictive analytics. Data application developers, data scientists and analytics leaders are driving their organizations’ efforts to bridging their data to the cloud.

Sign up now for a free 3-month trial of IBM Analytics for Apache Spark and IBM Cloudant, IBM dashDB or IBM DB2 on Cloud.