3 years ago

Category: Software, Business, Database, Security, Data, Kubernetes, Ubuntu, Docker, machine-learning, artificial-intelligence

Business problems are not “one size fits all,” and neither are cloud architectures. Organizations are looking for specific solutions that deliver on their bespoke needs—a driver for many of them shifting from one cloud provider to working with multiple providers.

Managed tools that leverage the power of the cloud enable us to handle more varieties of data, in larger amounts, at greater speed and scale than ever before.

A data team focused on hand-coding and retrofitting technologies for cloud migration is not necessarily one that is prepared for modernizing data architecture and implementing a multi-cloud strategy. The data team needs to include people with the ability to organize data for cost-effective analysis and reporting that leads to intelligent conclusions—that is, data engineers with cloud training and experience as well as the ability to understand the data itself.