Happy to announce that we have completed the first release of Power Market Operations and with that v1.0 is available. Power Market Operations has been built as a co-creation project with two partners within the Norwegian Hydro Power Production space. Customers can now apply DataOps to their Operational process for market analysis and market participation. With this release, the product has been made available for other Trading Entities operating in the physical Power Markets. Facing uncertainty around development of both market mechanisms and price drivers, we believe Power Traders will benefit from systems that provide a high degree of speed and automation as well as a flexible and agile way of being able to change both processes and models to ensure that opportunities can be captured as and when they occur. v1.0 of Power Market Operations enables you to: Fully automate the Day Ahead auction participation process from pre-trade analysis to optimization and matrix generation. Au
Two of the important goals with a Data Mesh Architecture would be:Ensure that the users of data can easily find and trust the data – through carefully consider distribution of ownership and governance throughout the company/domains Ensure that data is “interoperable” across domains – to understand the meaning of data from one domain in the context of another domain.Question: What are the challenges and advantages of a Data Mesh Architecture to achieve these goals? E.g.:Domain expert knowledge and capacity within the business area/domain vs centralized knowledge Ability to make data interoperable across domains vs all-inclusive master data management Make it easier for end users to make use of the data Change management – move towards a distributed data ownership model where ownership is understood and prioritized day-to-day.Other thoughts? 👀
Context and introductionAs liquidity increases in short term markets and market mechanisms evolve towards net zero targets, the sheer volume and complexity of data in relation to power trading activity has outpaced the capacity for prudent, optimal decision-making.With Cognite's product suite consisting of Cognite Data Fusion and Power Market Extensions, along with expert input from selected partners, we’re building the next-generation software capabilities designed for modern, data-driven power trading processes. The first Beta Version is ready for operationalisationWe are very proud to present the first Beta version of Power Market Operations to our partner customers. We are now entering a phase of stabilization before releasing to PROD and with that the opportunity to scale the product. Stay tuned.The product is relevant for market analysts, data scientists, production planners and traders who would like to improve data operations and power trading processes.The Beta version of Powe
The below is reflecting current thinking from the App Dev Journey team in Cognite and is a mental model that will likely develop over time as this topic mature.A data model enables users to customize the shape and structure their expectation of data. It plays a crucial part in building solutions (like data science models, mobile and web apps). It is also the core of an ontology, knowledge graphs, or industry standard.There are some crucial reasons why data models are effective for the industrial space. Data modeling enables explicit language, flexible customization, governed iteration, and enhanced accessibility towards data. Let's dive further into each of these qualities of data modeling. Data Model is ExplicitA data model needs to be explicit because it provides a clear contract/interface between data providers and consumers. Hence, those loading the data and using the data can both understand the underlying data and use it correctly. By having explicit data modeling, a shared cont
This presentation gives a quick introduction to Cognite as a company and our core product, Cognite Data Fusion. Get introduced to how our products turn industrial data into customer value by liberating it, contextualizing it, and making it actionable for users.
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