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.
Use Big Data to discover actionable insights and do more with less
Big data can provide valuable insights for organisations that can drive breakthrough ideas of...
Make your big data fast for immediate business benefits
Big data helps you to make clever decisions but is your big data fast enough to help you to...
Cloud Integration for Hybrid IT
Access this white paper to learn about a Cloud Integration Reference Architecture based on...
