5 best practices you need for A-1 cloud analytics
Supplied by SAS Institute Australia on Wednesday, 18 November, 2020
Data science is the future of analytics, and the cloud provides an important platform for machine learning and AI because of its scalability, flexibility and extensibility. As organisations mature in their analytics journey they will move to the cloud for both data management and analytics. As part of this move, you will need to consider a number of critical factors.
Examine a checklist of five best practices for utilising the cloud for data science — including evaluating use cases to run in the cloud, cloud computing architectures and planning considerations.
6 must-do’s for a best-in-breed private cloud — an eBook
Learn why businesses are trending towards a hybrid cloud solution to address their unique...
Maintain control of data over a patchwork cloud
With organisations under intense pressure to respond to changing business needs, hybrid cloud...
New KVM technology for control rooms and operations centres
KVM systems have long been one of the hidden foundations of a control room. They have...
