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.
User-based licensing for endpoint protection and BYOD: five reasons why you should license by employee, not devices
IT managers and security professionals don’t spend much time thinking about software licensing...
Kogan.com expands its operations worldwide with Google Apps
Kogan.com is an Australian designer, manufacturer and online retailer of consumer technology...
Creating order from chaos in data centres and server rooms
This paper outlines several innovative approaches for dealing with the common chaos in data...
