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.
Keep a step ahead in the malware marathon
The ever-expanding list of malware is forever evolving. Traditional security software only...
Building a mission-critical communications network
Organisations requiring CCTV must ensure their mission-critical networks are built with the...
Encrypted traffic management for dummies — an eBook
This eBook provides easy-to-understand steps to manage your encrypted traffic. Learn how to...
