Cloud Exodus Overhyped, Shifting Back to On-Prem Risky
While some companies find benefits by running or moving workloads on-premises, cloud opens the doors to analytics, machine learning, and edge services that are unavailable otherwise.
Cloud migration is the process of moving digital assets, services, and infrastructure to the cloud or moving from one cloud service to another.
While some companies find benefits by running or moving workloads on-premises, cloud opens the doors to analytics, machine learning, and edge services that are unavailable otherwise.
Use of cloud services for critical workloads will grow due to the flexibility, scalability, and security that comes with new cloud technologies.
Data engineers can use generative AI in multiple ways in their jobs. Some key use cases include using the technology to prep and clean data, write code, and more.
As companies consider data center migrations, the right strategy and planning can streamline the process. Find out what matters most here.
A new cloud data management report outlines the progress companies have made, but also shows serious gaps. See what you can do to improve.
Companies need a clear plan to avoid wasting cloud investments during migration. Find out the best process for cloud cost optimization.
The Rapid Migration Program (RaMP) combines Google cloud products, engagement models, and best practices into a single program.
One of the main upgrades with the migration is an “industrial metaverse” that uses real-time data from simulated digital twin factories to inform physical factory improvements.
From large, on-premises Hadoop farms to streaming ingestion, businesses are moving their enterprise data into the cloud. Here are some thoughts on how to do that.
Modernizing applications allows businesses to unlock new capabilities, accelerate innovation, and reduce technical debt.