The IT/OT convergence enables a seamless flow of data across the entire enterprise, empowering manufacturers to gain unprecedented visibility into their processes, identify inefficiencies, and ...

Nodegrid Data Lake and ZPE Cloud apps are now available. Get a free 90-day trial by visiting the ZPE Cloud Apps page. Nodegrid sensors are also available.

With MQTT for Digi Connect Sensor XRT-M, we’re eliminating the complexity of sensor data integration. Customers get a rapid setup, flexible reporting options, and industry-leading reliability ...

The data lake framework can be costly to run, while often lacking performance and overall governance. This is because data lakes don't separate computing from processing, so compute resources are ...

John Rydning, research vice president at IDC, projects that sensor and machine data volumes will soar over the next five years, achieving a greater than 40% compound annual growth rate through 2027.

Individual data zones in the lake can be organized by creating internal subzones. For instance, a landing zone can have two or more subzones depending on the data source (batch/streaming).

The Census Bureau’s enterprise data lake, estimated to cost $22.3 million, is planned to increase their capacity for administrative, economic and demographic data.

“If your platform can suddenly talk to all of this new data, and that data is coming in in real time, then you can use our automation layer like Salesforce Flow to orchestrate workflows or ...

Azure Data Lake Storage is cloud storage that combines the best of hierarchical file systems and blob storage, while Azure Data Explorer is a fast, fully managed service that simplifies ad hoc and ...

The data lake is a fundamental concept of data management. But what type of storage do you need to build a data lake on and what are the pros and cons of on-prem vs the cloud?