News

In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Container usage continues to go up, up, up. The adoption curve of containers may even surpass that of virtual machines (VM) eventually, according to some analysts. But surging popularity tends to flush out other issues. And one of the big ones with containers is how to manage them more effectively.

IT has gone through a series of major shifts over the years. Physical infrastructure to virtual was a huge change in operational patterns and architecture. But virtualization only took IT so far. Virtualizing physical components didn’t bring about cloud-native architectures. That’s where containerization comes in.

Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services.

Alluxio, the developer of the open source data orchestration platform for data driven workloads such as large-scale analytics and AI/ML, has announced its participation in PrestoCon Day, a day dedicated to all things Presto taking place virtually on Thursday, July 21, 2022. Alluxio will also be hosting a Presto Committer Virtual Office Hour to answer any questions related to Presto and Alluxio.

Alluxio, the developer of the open source data orchestration platform for data driven workloads such as large-scale analytics and AI/ML, announced its participation in PrestoCon Day, a day dedicated to all things Presto taking place virtually on Thursday, July 21, 2022. Alluxio will also be hosting a Presto Committer Virtual Office Hour to answer any questions related to Presto and Alluxio.

Storage virtualization has been a thing for decades. The early EMC storage arrays that lay at the heart of storage area networks (SANs) were an early attempt to create a virtualized pool of storage. So successful was the concept, that EMC became the dominant force in storage for decades and is now part of Dell Technologies.

Deep learning (DL) could be defined as a form of machine learning based on artificial neural networks which harness multiple processing layers in order to extract progressively better and more high-level insights from data. In essence it is simply a more sophisticated application of artificial intelligence (AI) platforms and machine learning (ML).

Could there be a hotter topic than Data Mesh these days? Some say it’s still largely theoretical, but the promise of data mesh does make sense: Give discrete groups within an organization dominion over their own data sets, which would be housed within a broader data platform that enables self-service development. A key aspect of the vision is to build data products that are designed and managed by focused departmental teams. Ideally, computational power (and cost) would be carved out according to business value. Sound intriguing?