When it comes to archiving data, there are three different approaches, generally speaking. Selecting the right system hinges on technical capabilities as well as external factors such as budget ...

The Industrial Internet of Things (IIoT) is changing how industries collect, understand and use data. Machines and sensors are becoming smarter and more connected. This ongoing change creates huge ...

‘One of the hardest things for people to digest is that we're not making a copy of the data. We're not replicating the data. We're not touching the data. The data stays on the mainframe. So now ...

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In this new construct, storage is now the foundational data conductor, and organizations that treat storage as "just there" will watch their AI ambitions—and their budgets—collapse under the weight of ...

Nowadays, organizations need to migrate and move data from the Oracle database to various data lakes, such as Microsoft Fabric and Snowflake. These data lakes are used in data analytics and by data ...

New workload demands are turning data handling into a system-level design challenge rather than a back-end afterthought.

Tightly coordinated data movement and low-latency on-chip storage for real-time environments.