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.
Attacking your business processes with soldier apps
Hero apps are highly useful and gain widespread recognition from end users. It's the...
Surviving and benefiting from the big data deluge
In 2015, big data management and facilitating analytics will become expected core...
Improve the efficiency of your data centre cooling system
The effectiveness of a data centre cooling system can be greatly improved with an air...
