DataOps: The Missing Link in Your Industrial Data Architecture | SPONSORED
DataOps is a new category of software solutions that address the data architecture needs of industrial companies as they adopt Industry 4.0, Digital Transformation, and Smart Manufacturing. DataOps solutions perform data contextualization and standardization and provide secure data flow to the various consuming applications running at the Edge, in on-premises data centers, or in the Cloud.
This white paper will help you understand the role of DataOps in achieving the vision of Industry 4.0 at scale, key problems solved by Industrial DataOps, and five required components of an effective Industrial DataOps solution.
More about IIC: Industrial IoT Reference Architecture
Evolving Standards and Architectures for IIoT Data
The increasing volume and diversity of IIoT data present significant challenges for interoperability and integration. While standards are crucial for establishing a common language for data exchange, they alone cannot solve all the challenges. This article will explore how standards
The Role of Time Series Databases in Industrial Process Optimization
Industrial process optimization is now a cornerstone of operational success across manufacturing, energy, and various other industrial sectors. In today's data-driven world, the efficiency, quality, and sustainability of industrial operations depend heavily on real-time insights derived from vast amounts of
From Pilot to Full Deployment: Lessons from KAES’s Approach to Industry 4.0 and Data Integration
At the Impact 2024 event, hosted by Cognite, Josh Dotson, Industry 4.0 Leader, Koch Ag & Energy Solutions (KAES), shared insights into the company's early steps in its digital transformation journey. Dotson, who has a background in operations, project engineering,