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.
Hyperconvergence for small and medium businesses - an ebook guide
Small and medium-sized businesses need the same IT services as larger companies — but...
5 best practices for Robotic Process Automation
Examine five best practices that will help you deliver long-term automation success,...
Virtual workplace survey, the results are in!
This October 2015 survey gathers insight from industry professionals who have adopted a...
