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.
Application fluency for a high-quality user experience
Today the new converged enterprise network must be fluent in a variety of applications to...
Multifibre push-on connectors are network game changers
Service providers are looking for ways to reduce overall cycle times required to expand...
Fibre success depends on having the right connectors
Installing short-distance fibre access networks can be a labour- and cost-intensive process,...
