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.
Eight ways to generate new revenue with business intelligence and analytics
This paper looks at turning the buzz of predictive analytics, social, mobile and other new...
Eliminate shortcomings in your cloud architecture with smarter storage
Enterprises are deploying private and hosted clouds to respond faster to business demands for...
How to leverage next-gen data centre monitoring and cut your costs
This paper explains seven key trends that are defining next-generation data centre (DC)...
