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.
A dummies guide to data protection by numbers — an eBook
Quantitative metrics allow you to compare a range of availability and protection...
Wringing maximum value out of WANs
The rapid rollout of fibre across Australia has significantly reduced internet access costs –...
Manage your multi-site infrastructure rollout more efficiently
Current project management processes for multi-site IT infrastructure rollouts have never...
