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 coordinated virtual infrastructure for SDN in enterprise networks
Increasing agility and automation in the data centre to optimise application delivery requires a...
4 groundbreaking advantages of IP-based video walls
Video walls are virtually guaranteed to stop consumers in their tracks and catch their...
Proactive risk management made easy
Learn about proactive risk management measures that you can take to safeguard your...
