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.


Related White Papers

Modernising IT service management — 2017 study

This Forrester study examines the potential ROI organisations may realise by modernising ITSM,...

Have slow backups got you down?

Traditional backups are slow, inefficient and unreliable for the typical data centre of today....

Discover how to leverage data management to win

To remain competitive in today's market, it is essential for organisations to be empowered with...


  • All content Copyright © 2025 Westwick-Farrow Pty Ltd