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.
The 3 greatest myths about row-based cooling
Although row-based cooling has been around for 10 years, there is still confusion surrounding...
What data centre leaders need to know for a sustainable future
Learn about the drivers of edge computing and the various types of edge computing...
13 steps to find the right remote support tool
This buyer’s guide will help you evaluate remote support tools and select the right solution that...
