Data integration as a formal practice gained prominence in the late 20th century with the rise of relational databases and the need for a more efficient way to manage and analyze data. It has come a ...
To examine enabling technologies and best practices for adopting a data fabric architecture, experts from TimeXtender and Acceldata joined DBTA's webinar, Moving to a Data Fabric: Key Challenges and ...
Michael Lawrence of Leviton outlines four key subsystems that often required tailored solutions in an AI data center and the ...
As power companies build hybrid projects combining solar, wind, battery storage and hydrogen assets, they face the challenge of integrating dozens of different control systems and data types from ...
The conversation around data strategy is shifting. For years, the focus was on accumulation. Now, the emphasis is moving ...
Security and governance are the biggest obstacles businesses face when trying to integrate data from various sources, according to recent research from Nexla and Ascend2. The report was based on data ...
Fivetran, the data foundation for AI, today released "The enterprise data infrastructure benchmark report 2026," revealing that fragile data pipelines are delaying analytics and AI initiatives while ...
In the video presentation below, Alex Clark, Chief Software Architect & Founder at BitStew, talks about Industrial Internet of Things (IIoT), its challenges, and opportunities. There will be 50 ...
In this special technology white paper, Why Machine Intelligence is the Key to Solving the Data Integration Problem for the IIoT, you’ll uncover the reasons why machine intelligence is the key to ...
"You need to have an organizational structure and a process that supports what you’re going to do here," Dr. Christopher Alban, a vice president and clinical informaticist at Epic, said. "The ...
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