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Database migrations - assets and filesCognite plans to migrate data from Cloud SQL databases in our Google Cloud-based CDF clusters in a two-week period starting June 25, 2021. We plan to migrate the databases containing data for the assets and files resource types. The migration for the two resource types will occur on different days. We will email customers the exact time of the maintenance window for their cluster, CDF project, and resource type. Why is this database migration needed?Cognite has recently made CDF available on Azure in addition to Google Cloud. The code running on Google Cloud is currently dependent on database options only available in Google’s public cloud. Migrating these databases enables us to run the same code base in Google Cloud and Azure, allowing us to bring recent improvements in our Azure implementation to customers on CDF projects hosted on Google Cloud. APIs in read-only modeWe will set the API for the impacted resource types in read-only mode dur
For many operators, power trading remains more of an art than a science that still relies heavily on heuristics and trader intuition. But as markets evolve and deviate from historical patterns, the tools and methods to make smarter trades must adapt in order to maintain or grow profitability and become a sustainable source of competitive advantage.In this webinar, we talk about our experience of integrating data science into forecasting and trading analysis, and how we used Cognite Data Fusion to enable analysts and traders to work iteratively in a data science process across a range of analytical topics within the trading domain. Check it out and leave your comments below! What do you see as the biggest opportunities and challenges within power trading analytics?
I use RAW as a cache system for sensors that come from BACnet (BAS systems) Since it extremly slow.This have worked for some time now, But now CDF would give me a internal server error.. When this error accure, there is no help what so ever on what the problem is.After debugging, It seems i have reached a size cap on a row (5 MB) but the table have a size cap of about 5 GB (Unconfirmed)So after i included a size check of my data, I chunk it up and spread it out in the rowsAs fare i can see, this limitiations is not mentioned in the docs so here you go, Liberate your data!
If there is one thing we at Cognite get a lot of questions on, it’s contextualization. Not so much what is contextualization (luckily we are getting past that phase now), but specifically on two subsequent topics:How does your contextualization engine actually work? How does contextualization make use case scaling order of magnitude (or two!) more efficient?In this article, we will address both the above questions. We will also offer an ‘executive summary’ on data contextualization and its role in modern data management towards the end for completeness. Dive in!
A new webinar featuring MHWirth and DNV has just been posted in the Events page.Head over and register now to learn how MHWirth developed and operationalized their predictive maintenance solution using Industrial DataOps and achieved DNV certification.You can find the link here
Hi Community! I’m Anette Holtedahl, Senior Vice President Industry Applications at Cognite. My team is passionate about creating software that does magic. Our mission is to improve the everyday work for users and equip you with solutions that enable you to make a greater impact: whether that be in the field, the control room, or in a production facility. You are the main character in our mission, and whether you want to work safer, more efficiently, collaborate better, or become more sustainable, we in the application teams work dedicated to enable teams achieve more or avoid human mistakes. One example of an application that does this, is InField. InField takes advantage of contextualized data from CDF. With iterative product development we could verify how to optimize the functionality to fit with the core users working with operations and maintenance tasks in oil & gas operations. Last module we launched was support for Routine rounds and the adoption has been incredible - also
What are your best practises of sharing?It is proven that when we share, we learn more and grow together!We encourage our partners to share stories, the great stuff you are experiencing with customers out there. @niko (itera), I know you are working on some great stuff, we are curious to learn more :-)