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.
How to assess cloud vendors for data security
This white paper provides both a framework and cloud vendor checklist on which to base your...
Your business continuity planning guide for payroll
Learn about the likely triggers to activating a payroll business continuity plan and the...
Choose a secure platform for your information governance
These days, it is more vital than ever that CIOs and compliance officers adopt a proactive...
