Product Updates

The Product Release Spotlight Webinar recording for October can be found here. This release of Cognite Data Fusion (CDF) contains enhancements to all capabilities for ingesting, managing & building trustworthy industrial data products to be used for data-driven decisions.   Data engineers need observability to inspect, monitor, and debug solutions in production. Therefore, we’re introducing Extraction pipelines where you can monitor the status of data ingestions to make sure reliable and trustworthy data are flowing into the CDF data sets. When you set up extraction pipelines, you can add comprehensive documentation and email alerts. You’ll be instantly notified, can quickly start troubleshooting, and have on-the-spot contact info to data set owners and other stakeholders if ingestion issues occur. You create and view these pipelines either from the Data set lineage page while you are already working with a particular data set, or you can get a bird’s eye view across several data sets via the Monitor extraction pipeline page.  Read more in these articles.If you’re using the PostgreSQL gateway, you can add status reporting to your Azure Data Factory pipeline. If you prefer working more programmatically, the new version of the Python Extractor Utils allows building extractors with status reporting, or you can use the REST API or Python SDK. The Cognite Extractors support status reporting from our next release. Running SQL transformations using APIs and the Python SDK significantly improves the developer experience as data engineers can manage transformations programmatically. Using the APIs/SDK, data engineers can orchestrate transformations sequentially, making it more reliable and quick. Check out the  API docs and SDK docs for more information. Note that the Transformations APIs and Python SDK are in public preview and will be promoted to V1 (production use) in November 2021.  Data discovery by contextualizing engineering diagrams, typically P&IDs, has already shown its value in the market. In this release, we’ve redesigned and enhanced the Create interactive engineering diagrams process to give a delightful user experience. The new sidebar navigation guides you carefully through each step in finding, extracting, and matching tags and linking these to the asset hierarchy and other associated resource groups. New actions that improve the quality of the diagrams include approving and rejecting automatically detected tags, clearing all tags on a diagram, and better name-mapping and use of synonyms in tag detection. When you’re done creating interactive diagrams, you can convert the approved PDF files to SVG if this is your preferred format. Read the How-to guides.  The solution builders and data scientists need transparent and easily accessible documentation and information about data science scripts and models to make correct and informed operational decisions. You’ll find it all in the Cognite Industrial Data Science Library.   Industrial data analytics must be of high quality and Cognite Charts is focused on the nitty-gritty details and to give you a smooth charting experience. You’ll find function descriptions by clicking the Information icon located next to a function. Notice also that named inputs/outputs in Cognite Charts make it clear to see which are required for a function. When you zoom in to a specific point on a time series, the aggregated values automatically switch to showing the raw data. In addition, all measurement units stored on time series in CDF are now displayed in Cognite Charts.  For the solution builders, we’ve enabled client credentials grant flow in Grafana. In some cases, for example, if you're using the Grafana free tier, you can not set up an identity provider for the whole Grafana instance. Instead, you need to set up a client credentials grant flow for each instance of the Cognite Data Source. You’ll find all the information you need to set this up in this article. For the CDF administrators, we’re introducing a new token session service for managing internal sessions and exposing internal and external endpoints for interacting with them. The token session API service allows users and service principals outside the API to run jobs within the API. External principals can use the sessions API to delegate their access to functionality in CDF. You can use this functionality to set up and manage long-lived or timed access for internal services. The access is rooted in the respective principal's external identity provider (IdP), from where it can be controlled or terminated. For example, a user can specify a function to be run on their behalf and terminated if their user account is deleted. 

Today, we are happy to announce the release of the following improvements to Cognite Data Fusion (CDF). Manage RAW foreign table in the Postgres GatewayYou can now manage the RAW foreign table in the Postgres Gateway using APIs and don’t have to rely on external tools such as pgAdmin or psql CLI to create, list, update or delete the RAW foreign tables.Update labels on assetsTo make it easier to update labels on assets, we have added a set method in the updateAssets operation. The operation accepts a list of labels to set or replace for the resource.Update sequence configurationWith the availability of mutable sequences, you can now update an existing sequence configuration. In addition to adding, removing and updating columns in your sequence, you can also update or clear the assetId, externalId, metadata, and the dataSetId for a sequence. To update a sequence, you need sequencesAcl:WRITE capabilities.Group limitsTo support authentication for users who are members of a large number of Azure AD groups we have increased the default group limit token configuration to 1.000 for new CDF projects with AAD as the IdP from now on.Interactive engineering diagramsWe’re hard at work putting the final touches on our new user experience for working with interactive engineering diagrams. Stay tuned for the upcoming release. Cognite ChartsRelease HighlightsThe main new features in this Cognite Charts release are: Search for time series data by time series ID Highlights matches in search results Recently viewed tags and time series are displayed in the search panel Merge y-axes with the same units Show/hide min/max bands Show/hide gridlines Backend performance improvements Bug fixes & UI/UX improvements Search for time series data by time series IDWe have added a tab in the search panel to search for “Time series ID,” specifically. This tab should be used when you know the name of the time series you are searching for (e.g. VAL_21_PT_1019_04:Z.X.Value), while the “Tag number” tab should be used to search for the asset tag to which the time series of interest is related (e.g. 21PT1019). You will also notice that search results that match your query are now highlighted to make direct matches easy to seeSearch by Time series ID You’ll also see the tags (assets) and time series you have recently viewed (added and/or removed from your chart) in the search panel, if you have not begun to type a search query.Basic Statistics & Tag MetadataUsers can view additional basic statistics (mean, std. dev., etc.) for the a given time series for the time range they’re currently viewing in the chart by clicking on the corresponding information icon. By clicking on the “Metadata” tab in this panel on the right-hand side of the screen, can view the metadata information for that Basic statistics Metadata Merge y-axes with same unitsIt’s now possible to easily compare the values of two or more time series or calculations that have the same unit, without needing to manually match and align the axes individually. Simply click the y-axis button found just above your chart and select the “Merge units” toggle. In order for this feature to work, you must have already assigned the input and output units on the time series or calculation(s) of interest.Show/hide min/max bandsWhile looking at a wider range of time, Charts will show the aggregated values for a given time series. With the min/max bands, it’s possible to visually display the min and max range for a time series.Show/hide gridlinesGridlines can be a valuable way to visually identify time series values, but they could also get in the way and be confusing when you have a lot of time series data on your Chart. Use the show/hide gridlines toggle to decide for yourself whether or not you want them displayed on your chart.

We are happy to share release 1.13 with you all! A big chunk of the work in this release is not visible features, but background changes. We have been working towards a goal to remove a big and time consuming request. Instead of one request, we are getting the parts of the data we need, only when and where we need it in order to enhance the performance of the initial load.We have also fixed bugs and implemented several improvements:Using the Segmented Control component to switch between 3D/2D view Several typo fixes Black border on 3D view on big screens is now removed Toggling risks on/off on 3D view works againWe hope the improved loading time of the application is experienced as significant, and that it will contribute to easier use of  Cognite Maintain! Any feedback or comments are as always most welcome! Just send them to me at mari.sofie.korslund@cognite.com :) 

This release of Cognite Data Fusion (CDF) sees Charts released into general availability for all customers. Also, we're adding a PostgreSQL gateway to ingest data into CDF from your existing ETL solutions. Charts released into general availabilityThis release sees Charts released into general availability. We're gradually rolling out Charts to our customers, and it may not yet be available in your CDF project. We plan to have Charts available for all projects by June 10.Use Charts to explore, trend, and analyze industrial data. Find, understand, and troubleshoot for actionable insights from time series and contextualized engineering diagrams already in the CDF portal application or other Cognite applications, then share the chart for collaboration. Charts runs securely with a single, secure sign-in.Learn more in the Charts documentation, and join the conversation in the Charts community on Cognite Hub. CDF Transformations now support OpenID ConnectYou can now use OpenID Connect and your existing identity provider (IdP) framework to manage access to CDF Transformations securely. We currently support Azure AD, Microsoft's cloud-based identity and access management service.When you have registered CDF Transformations in Azure AD, users can sign in with their organizational ID to transform data in a CDF project.You can update existing transformations that are currently using API keys to use OIDC client credentials instead.NOTE: CDF projects running in Google Cloud Platform need to be added to an allowlist (sometimes called a whitelist) to support scheduling of transformations using OpenID Connect. Contact your Cognite representative to be added to the allowlist.Learn more in Setup and administration with OpenID Connect. PostgreSQL gatewayUse the PostgreSQL gateway to ingest data into CDF from popular ETL solutions. The CDF resource types appear as tables in the PostgreSQL database and you can ingest data directly into CDF resources like assets, events and datapoints and to Cognite RAW.We currently support Azure Data Factory as the ETL tool. The PostgreSQL Gateway is intended for ingestion only. We do not support querying data from CDF using the gateway.Learn more: PostgreSQL gateway Grafana - nested variablesIn Grafana, you can now link variables and use the value of one variable as input to another.Learn more: Nested (chained) variablesSneak peek at the new interactive diagrams experienceWe’re excited to give you a sneak peek of the latest redesign and enhancements to the interactive diagrams experience before it’s released publicly. We encourage all customers to try out the new features and give us feedback to help us make them better! Power BI - templatesWe have added support for Templates in Power BI to early adopters. Contact your Cognite representative to give it a try and share your feedback!

It’s time for a new release of Cognite Maintain!Based on the feedback from several of you we have improved the visualization of work orders and other events in 3D. These are now visualized in a honeycomb structure, which will expand as you create scopes. We hope this improvement will significantly ease the visualization in 3D. Give it a try and let us know what you think!We have also improved the performance by reducing the amount of api calls. As always, please give your feedback here or send it to me directly at mari.sofie.korslund@cognite.com  

We’re excited to release version 1.11 of Cognite Maintain!We have enabled a help center in the application to provide you with useful tips on how to use the application.To access the help center, click ? in the right top corner of the application. A side panel will open containing useful links to the documentation, as well as walkthrough cards that cover central features of Cognite Maintain. Currently, there are two guides on how to create and optimize a Scope. Guides for Schedule and Report will be added in the near future.The 3D viewer now uses Reveal version 1.5, which enhances the 3D model performance. We have added tips on how to navigate in the 3D viewer, and how to slice the 3D model using the new slicer in the toolbox in the bottom left corner of the 3D view.To increase the speed of Cognite Maintain, substantial work has been done to enhance the performance. We have developed enrichment services to consolidate the api calls to prevent hitting the api call limit on browsers.We have also improved the filter functionality. The string search handles multiple values and makes it easier to create a scope based on multiple IDs. These are separated by line change.As always we welcome all feedback and ideas for improvement!Reach out in the forum or to me directly at mari.sofie.korslund@cognite.com  Sincerely, Mari SofieProduct Manager  

We’re excited to release 1.10 of Cognite Maintain!ConfigurationsWe have made several improvements to make the application more configurable and thus easier to accommodate for new customers.Mass changing available hours in Schedule In the Schedule view, you can change available hours in bulk to adjust the trade matrix. Click on the grey cog in the bottom right corner (Configuration) and update the workday hours and capacity for the different trades all at once              P&ID improvements P&ID added as new setting for suggestions: we can now offer suggestions based on P&IDs relevant to the chosen scope Ability to download P&IDs both with and without work orders and risks highlighted on them  

Welcome to the Cognite Maintain product updates! Cognite Maintain lets you construct, optimize, and analyze maintenance plans flexibly, intuitively, and automatically. It contextualizes open work orders, ongoing barrier risks, HSE risks, discipline availability, and more to visualize the data needed to optimize the maintenance schedule. It breaks the silos between planning teams by providing visibility into other scopes and invites intra-team collaboration. Cognite Maintain detects opportunities and clashes, exports all your pre-processed documentation for the execution phase, and lets you save time during the process. 

We are very proud to present this major release of InField that offers you the option to add measurement readings to checklists based on templates. To include measurement readings in a checklist, you must first allow for this in the checklist template. You'll notice a new checkbox in the Create new template window.As you fill in the template items, you get the option to add fields for measurement readings. These fields are Name (required), Unit (required), and Min. and Max. values (optional). For checklists based on this template, the measurement reading fields are available on each checklist item. You can add and edit integers and decimal numbers, and if min/max values were added in the template, any deviations are marked with a red line.The PDF report you can create from either the checklist or the template also shows the measurement readings in a separate section.And there's more! Find operation IDs (if you're using SAP) or activity IDs (if you're using WorkMate) with the new filter field you'll see on the Checklist page when a work order has operations/activities attached. Note that on a mobile device, you'll find this menu option under the More options (...) icon. Vi har store nyheter i denne versjonen av InField! Nå kan du legge til måleravlesinger i sjekklister som er basert på maler. Først må feltene som skal brukes til måleravlesningen legges til i malen. Dette gjør du ved å merke avkrysningsfeltet Inkluder måleravlesninger i malen som du finner i vinduet Opprett ny mal.Når du deretter oppretter oppgaver i malen, kan du legge til felt for måleravlesninger. Disse feltene er Navn (påkrevd), Enhet (påkrevd) og Min. og Maks. verdi (valgfritt).For sjekklister som er basert på slik maler, er feltene for måleravlesning tilgjengelig for hver oppgave i sjekklisten. Du kan legge til og redigere heltall og desimaler, og avvik fra min. og maks.verdier vises med en rød strek.PDF-rapporten du kan opprette fra sjekklister og maler viser måleravlesningene i en egen seksjon.Filtrer på aktvititeter I denne versjonen kan du også enkelt finne frem til en aktivitet på en arbeidsordre med et nytt filtreringsfelt. Feltet vises på Sjekkliste-siden når en sjekkliste inneholder aktiviteter for arbeidsorder. På mobile enheter finner du dette menyvalget under ikonet Flere valg (...).#

Cognite Data Fusion (CDF) is the industrial data operations and contextualization platform that makes traditionally siloed operational, engineering and IT data instantly available to users across the organization, enabling better decision making and intelligent workflow automation to improve operational performance.This release focuses on the end-to-end data journey with fast and secure authentication to all Cognite applications using your organization's IdP. We currently support Microsoft's Azure Active Directory (Azure AD).Also, speed up time spent getting value for operations using the new sample function for contextualization and add events to a Grafana dashboard to visualize and analyze your CDF data. Manage access with OpenID ConnectRegister the CDF portal application and other Cognite applications in your IdP (Identity Provider) and use OpenID Connect and your IdP framework to manage user and service principal (app) identities securely. We currently support Microsoft's Azure Active Directory (Azure AD).Visit the Manage access to CDF quickstart to learn more about the basic authentication concepts and terminology, secure access to CDF, and the different ways an application can access CDF data. Explore the docs for the technical details. SQL Transformations CLI and Cognite Extractors support OpenID Connect authenticationTransformations CLI users, scheduled transformation jobs, and Cognite extractors can now authenticate using OpenID Connect and Azure AD. Accelerate data set contextualizationSpeed up your contextualization with the entity_matching.suggest.fields function. Supply the function with data samples to return suggested fields you can use for entity matching in the API, SDK, or UI. Learn more here.Use existing matches to automatically generate matching rules to apply to all your data. Learn more here.Add input naming variations to the entity matching model to improve the suggested matches, for example, pmp for pump and bhp for bottom hole pressure. To create a list of synonyms, use replacements in the API. Learn more here. Visualize, track, and analyze events in GrafanaBoost your insights by adding the CDF events resource type to your Grafana dashboard. To visualize events, you can customize the time range and events to display and rename and organize columns according to your needs.By default, the events annotation query returns events that are active within a time range, but you can customize the query with additional time filters.Learn more: Visualize events Templates (Early adopter program)With Templates, you build your view of the data you have available in CDF and simplify the applications and solutions you are working on by accessing data through templates. Templates remove the gap between the application’s data model and the preexisting structure of the relevant data. It is easy to scale your solution across more data without changing or redeploying your application code or configuration. Instead, you can work with your template in CDF, and use the tooling available to scale to more data with governance.Learn more: Manage templates Charts (Early adopter program)Use Charts to explore, trend, and analyze industrial data. Find, understand, and troubleshoot for actionable insights from time series and contextualized P&IDs already in the CDF portal application or other Cognite applications then share the chart for collaboration. Charts runs securely with a single, secure sign-in.Learn more: Get started with ChartsNOTETo join an Early Adopter program, contact your Cognite representative.

At last, Cognite’s long awaited standard support for external identity providers is here! Over the last year or so, it has been referred to as "native token", "OIDC support", "support for Azure Active Directory", and "proper OAuth2". Alas, it can be hard to understand, so let me try to explain in "not-so-technical" terms what all this is about.So, what do our customers get with this release that they didn’t have before? We have supported external identity providers, like Google login before, right?The answer is simple: they now get total control over who can access what data in Cognite Data Fusion (CDF) and which applications the users can use, and which applications are allowed to access data. No more extractors or applications that can run as long as you have an API key. And no more mix of accounts created in Cognite Data Fusion and the identity provider like Azure Active Directory (AAD) or Google. Access control is now enterprise grade and according to how enterprises typically manage access internally for other applications and services.Give me the 5-minute spiel…!Alright, hold on tight! This section is to arm you with the basic understanding!Your customer needs an Identity Provider that supports standard OAuth2 and Open ID Connect (OIDC) AND the ability to share security group memberships into the so-called OAuth2 token. Google does not support this last bit, Azure Active Directory (AAD) does, and in this release, we have fully tested and validated Azure Active Directory.The customer CDF project is first configured to trust the customer’s instance of Azure Active Directory, and then AAD is configured to recognise the CDF SaaS service. This allows users to log in with their corporate account. Then, groups are created in CDF for each set of access rights needed by something or someone connecting to CDF: users, applications, extractors, dashboards, Power BI, and so on. To be precise, this is not one group per entity accessing CDF, but just one group per each set of access rights. Each group is then configured to map to a corresponding group in AAD by using the id of the group in AAD.For each user that will access CDF, the customer uses the existing company user accounts and adds them to one of these AAD groups that are mapped to CDF groups. For each piece of code (like applications, extractors, dashboards and so on) to grant access to, they create a so-called app registration in Azure Active Directory and adds them to the correct group(s).When CDF receives a request for access, it will check the identity of the connecting user or application by receiving a "statement of access rights" (a token) from the customer’s Azure Active Directory. Through this token, CDF can verify the identity, get the list of group memberships and grant access to the right data!This means that it’s not possible anymore to create a service account in the CDF project and use an API key to access data (i.e. once the project is configured with an external Identity Provider).Give me more!"That’s fine, but I really want to understand a bit more than that!"Alright then, read on! This section introduces the basic concepts of cloud service authentication and authorisation in a way everybody(?!) can understand. The basic building blocks are introduced first, before these are explored using an analogy of a hotel room with key cards to control access.A crash course in the basic conceptsAt its core, the problem is very simple: you go to an application living on a web page (let’s say https://fusion.cognite.com/ and prove your Identity (typically your email address) by using a password, a one-time code, or another way to prove that you are you. The web page will guide you through the login process, but in the background, it will contact a service that has a register of people (i.e. identities) who are allowed to access this application. This service is called the "Identity Provider". Typically, when you log into Facebook or another web app, you see no difference between the two. Facebook is its own Identity Provider.When you work for a company, your company typically has its own Identity Provider, like Azure Active Directory (AAD). If you as a corporate user can log into many different applications and systems using the same username/email and password (i.e., you are "authenticating" using the same Identity), it’s because all these will communicate and authenticate with the same Identity Provider owned by your company. Now we can introduce another challenge: what if you have access to an application your colleague does not have access to? This is referred to as "authorization", knowing where and what you have access to.So, to summarize: we have the Identity (who to approve access for), the Identity Provider (the decision maker verifying your identity and granting access), the process of authenticating (verifying that you are the identity you claim to be), and finally authorization (granting you access to the application you want to access). There’s one final and important thing to understand: the application you access in your browser is the "go-between" in the interaction between you and the Identity Provider to verify your identity and grant you access. But exactly what do you get access to? The application in your browser itself or the data in CDF in the cloud? Or both?In fact, as long as you sit in front of your browser, the browser app will communicate with the cloud CDF services as if it’s you. Practically, this is done by an elaborate process to give the web app a token. This token is basically a very targeted key to get access to your data using your identity and it will expire quickly, so it will have to be refreshed regularly (which happens in the background). We say that the web application is a client and that the CDF cloud services is the resource that the client accesses.In the case of an extractor or if you make a python application where you use the CDF SaaS service directly, the extractor or application could of course do the same as the CDF Fusion application and be a client that uses a token that gives access to your data. However, since these applications may run over longer time (and a token is short-lived) and without you watching over them, it makes more sense to give them their own identity instead of using yours. This identity is often called a service principal to differentiate them from people identities.A hotel room as an analogy"Wow, that was a bit rough… How can I get my head around this?!"It is often easier to keep things straight in your head if it’s possible to relate all the terms to something you already know, something physical. So, let’s use a hotel room with a key card and lock as an analogy. You have reserved a room (the resource to access, so this is the CDF SaaS service). At the front desk, they register your identity in the hotel computer system. From here on the hotel computer system will act as the identity provider.Now you will get a key card that will open the lock to the right door for a time-limited period (authorised by the hotel system). The key card is the token you use to get into the room. As you probably recognise, you are now acting as a service principal, you access your own resource (the room) with your own identity, and you use a token that is made out to you. You enter the room and find that the lights are not working. You return to the lobby and requests that it’s fixed while you eat a snack in the restaurant. As this is a security conscious hotel, they request you to authorise access to the room for their janitor the next hour only. You approve, and the janitor’s key card is updated with access to the room.As you order your food, the janitor accesses the room exactly the way your web browser accesses CDF cloud services, both are authorised by you with time-limited access, but now the janitor (the browser) uses a key card (token) issued to him that gives access to the room (the resource), and you used your identity to authorise the janitor to get the token (similar to logging in).Trust is established and kept through these exchanges between you, the front desk, the hotel security system, the lock on the door, and by loading tokens onto the key cards that are used to open the lock. Trust is essential to any computer system. The various software components involved, like the app in the browser, the CDF SaaS services, and the Identity Provider, all need to communicate with each other and trust each other. Very often security issues arise as a result of a weak way of establishing trust. For example, if you used your passport to prove your identity to the hotel the first time, that may have been a strong trust. However, if you only have to say your name the next time, the trust chain is broken because anybody can walk into the hotel and claim they are you. The security of the rest of the system does not matter anymore.If you still have appetite for more, head over to the quickstart course and the configuration documentation!

You'll find some adjustments to the user experience in this minor release of InField. Storing of archived checklists is now better adjusted to shift work and are only kept for 4 weeks (previously 12 weeks). This is to give a clearer view of the checklists you are currently working with.You'll also notice that the Trend card on the Overview page no longer displays the time series value when several time series is connected to a tagDenne versjonen av InField innholder to mindre endringer av brukeropplevelsen. Arkiverte sjekklister er nå bedre tilpasset skift-arbeid, og lagres nå i 4 uker (tidligere 12 uker). Slik blir det enklere å se sjekklistene som er aktuelle for det skiftet du jobber i.I tillegg vil du ikke lenger se tidsserie-verdien på Trend-kortet på Oversikt-siden når flere tidsserier er koblet til en tagg.

This version of InField lets you create templates without intervals with a new check box in the Create new template window. You'll notice that the field for interval selection is hidden when you add items to the template. Checklists based on this template consist of the template name and the current date. These checklists are unique to the user, so to share with co-workers, you must click Share checklist, which you find under the More options (...) icon. Be aware that you cannot change this check box once the template is created. Nå kan du opprette maler uten intervall med det nye avkrysningsfeltet i Opprett ny mal. Du vil se at feltet for å velge intervall skjules når du legger til oppgaver i malen. Sjekkklister som er basert på denne malen består av mal-navnet og dagens dato. Disse sjekklistene er unike per bruker, så for å dele listene med kollegaer, bruk Del sjekkliste, som du finner under Flere valg (...). Merk at du kan ikke endre denne avkrysningen når malen er opprettet.  

Easily add or remove multiple areas of expertise when creating or editing a template for routine round checklists. All you need to do in the Create new template window is to click several areas in the list to add and click cross to remove:We've also refurbished the Overview page, making it clearer and better utilized. You'll notice that the Notification card is now on this page. Nå kan du legge til eller fjerne flere fagområder når du oppretter eller endrer sjekkliste-maler for rutinerunder. Merk flere fagområder i listen i Opprett ny mal for å legge til og klikk kryss for å fjerne:Oversikt-siden er også forbedret, slik at du lett kan se alle kortene som vises her. Merk at Notifikasjoner nå er inkludert i denne oversikten.

InField is looking good! The layout on the checkboxes used across the application is now aligned with the Cognite product suite. This release also includes backend improvements and preparations for new functionalities soon to be made available to the users-InField sitt brukergrensesnitt er forbedret og sjekkboksene er nå identiske med resten av Cognite sine produkter. I denne versjonen har vi også gjort noen kode-forbedringer og forberedt ny funksjonalitet som snart er klar for brukerne! 

You'll experience a variety of smaller improvements made across several areas in this version of InField. The performance on the Overview page is faster, you'll get more accurate results when you search for tags and a better preview of images uploaded to tags. We've also fixed a bug that occurred if you searched multiple times for a specific time series on the Trend page.Det er flere mindre forbedringer på tvers av InField i denne versjonen. Det er raskere ytelse på Oversikt-siden, mer nøyaktige resultat fra søk etter tagger og bedre forhåndsvisningen av bilder på tagger. Vi har også rettet en feil som oppsto hvis du søkte flere ganger etter en spesifikk tidsserie på Trender.

Select different states for elements in a checklist based on a template. The available states depend on the setup of the template. Here you see the full range.To include these states when you create a template, use the new option Checklist states in the Create new template window. Select the states you want to use, but note that To do and OK are required. When you have created a template, you can click Template settings on top of the page to re-visit this window and make further changes.If a checklist is already created from the template, no template updates are displayed in the checklist. These will only be visible in the checklist created in the first calendar week following the template update.The checklist states are also reflected if you create a PDF report. The Complete column shows an overall status, and each weekday is marked with one of the state icons.We've also made some minor improvements. Click a tag in a checklist, and the Tag page opens, then go back, and InField will navigate back to your starting point and highlight the tag you clicked. You'll also see that re-ordering long lists on templates now scroll flawlessly. This was an issue for some users running Infield on Windows OS.  Nå kan du velge blant ulike statuser for oppgaver i sjekklister som er basert på en mal. Hvilke statuser som vises, avhenger av oppsettet til malen. Her ser du alle.For å inkludere ulike statuser når du oppretter en mal, bruker du det nye valget Status - sjekklister i vinduet Opprett ny mal. Velg de statusene du vil bruke, men merk at Skal utføres og OK må brukes. Når du har opprettet en mal, kan du klikke Innstillinger for mal, som du finner øverst på siden, for å åpne dette vinduet på nytt og gjøre flere endringer.Hvis en sjekkliste allerede er opprettet fra denne malen, vises ikke oppdateringer av malen i denne sjekklisten. De vises i sjekklisten som opprettes i første kalender-uke etter oppdatering av malen.De ulike statusene vises også når du åpner en PDF-rapport fra en sjekkliste. Kolonnen Utført viser en sammenlagt status og hver ukedag viser de ulike status-ikonene.Denne versjonen av InField innholder også noen mindre forbedringer. Klikk på en tagg i en sjekkliste og gå deretter tilbake. InField navigerer til utgangspunktet og fremhver taggen du klikket på. Vi har også fikset en feil med sortering av lange lister i maler som oppsto for noen av brukerne som kjører InField på Windows OS. 

If your area of expertise is Metering, you'll now find this as a separate option in the Profile list with areas of expertise. The templates are sorted according to the roles selected in this list to give you easy access to the relevant tasks.We've also fixed some minor bugs on highlighted assets and navigation in 3D models, and a bug on the template sorting when a template was deleted. Hvis ditt kompetanseområde er Måletekniker, finner du nå dette som et egen valg i rolle-listen under Profil. Maler sorteres etter rollen som er valgt i denne listen, slik at du lett kan se relevante oppgaver.I denne versjonen av InField har vi også rettet noen mindre feil ved merking av utstyr og navigering i 3D-modellen og ved sortering av maler når en mal ble slettet. 

Quickly find the templates related to your area of expertise with the new sorting of disciplines for templates. Note that you can at any time see and change your area of expertise by clicking the Profile icon in the sidebar.There is an additional formatting option available for templates. Insert a line break with Enter + Shift when you add elements. This can, for instance, be used to make bullet lists by adding the hyphen in front of an element.The date format in InField can now also be customized to the US format; MM/DD/YY. This is defined in the configuration of InField. Finn enkelt frem til malene som tilhører ditt fagområde med den nye sortingen av fagområder for maler. Du kan se alle og endre kompetanseområde ved å klikke på Profil-ikonet i sidemenyen.I tillegg er det et nytt formatteringsvalg for maler. Du kan sette inn et linjeskift med Enter + Shift når du legger til oppgaver. Slik kan du for eksempel lage punktlister med hjelp av minustegn-knappen.Dato-formatet i InField kan nå også settes til MM/DD/ÅÅ i konfigurasjonen av InField. 

Cognite Data Fusion (CDF) is the industrial data operations and contextualization platform that makes traditionally siloed operational, engineering and IT data instantly available to users across the organization, enabling better decision making and intelligent workflow automation to improve operational performance.This release focuses on improving usability across CDF as well as laying the foundation for future features. We are also very proud of our Cognite Power Bi Connector, which is now certified by Microsoft. The Cognite Power BI Connector is out of BetaWe're excited to announce that Microsoft has certified the Cognite Power BI Connector and that the connector is now out of Beta. The Cognite Power BI Connector enables data consumers to easily read, analyze, and present data from Cognite Data Fusion (CDF) in compelling visualizations in Power BI Desktop and the Power BI service.You can find the connector in the Other category of the Get Data dialog in Power BI. Learn more in our in-depth article.Enrich contextualized assets with 3D modelsIncrease the value outtake of contextualization by connecting assets to a 3D model with the new easy-to-use option under Match entities in the CDF user interface. Visually inspect assets and zoom into details to get tangible information.Learn more: 3D contextualizationAccelerate finding and filtering relevant dataFinding the data you need is now even easier in the CDF Data explorer. Navigate between different parts of CDF with the new drop-down navigation in the top bar and shift between multiple CDF resources with more descriptive tab names.Use the new Quick search in the top navigation to search for the resource names and explore data from anywhere in CDF. Filter on metadata and hide the empty fields for any resource and show aggregated values of metadata keys for assets to get unique values ordered by frequency (if enabled in the API). You'll also notice that date points are added to the time series sparkline to better visualize missing data for a given range.Learn more: Data explorerLabels and relationships in SQL transformationsCreate and delete data related to the Relationships and Labels resource types when you use SQL queries in CDF Transformations to transform data from the CDF staging area into the CDF data model.Learn more: CDF TransformationsEnhanced results page for entity matching pipelinesGet more information about the results, rules, and rule conflicts for matches from your Entity matching pipelines in CDF and improve rule predictions by selecting particular matches to CDF.Learn more: Entity matching 

We're excited to announce several improvements in this version of InField. Use the new option for Advanced scheduling to create templates for rounds made every 2, 3, or 4 weeks. When a checklist is created from this template, the elements are placed in the assigned weeks.When a checklist based on a template is completed, you can now see the historical reports for the checklist and download these as a PDF.We have also fixed some bugs, such as a temporary issue with the Norwegian language settings that occurred in some projects. Denne versjonen av InField inneholder flere spennende nyheter! Bruk den nye valget Utvidet planlegging når du skal opprette maler for rutinerunder som utføres hver andre, tredje eller fjerde uke. Når en sjekkliste opprettes fra denne malen, plasseres sjekkliste-elementene i de tildelte ukene.Når en sjekkliste som er basert på en mal er utført, kan du åpne tidligere rapporter for sjekklisten og deretter laste den ned som en PDF-fil.Vi har også rettet noen feil, som at du ikke kunne velge norsk språk i enkelte prosjekter i InField.

This version of InField fixes a bug where some users experienced incorrect week numbers on checklists created from a template. In addition, several other fixes are made under the hood to keep our code neat. More exciting user functionality is on its way in our next releases.Denne versjonen av InField retter en feil av ukenummerering som oppsto for enkelte brukere når de opprettet sjekklister fra maler. I tillegg har vi forbedret koden som InField bruker, men følg med i våre neste versjoner som vil inneholde mer spennende brukerfunksjonalitet.

You can now print interactive P&IDs from InField on a desktop. Click the new PDF button located in the top bar above the interactive file. A PDF viewer opens where you can click Print.  Nå kan du skrive ut interaktive P&ID-filer fra InField. Klikk på den nye PDF-knappen som du finner i meny-linjen over den interaktive filen. Deretter åpnes en standard PDF-fil hvor du kan klikke Skriv ut. 

Use checklists without a Wi-FiInField kick-starts 2021 by offering functionality to use checklists on a mobile device even if you don't have a network connection. Just select Offline mode on the More options button (...) on the Checklist page while still on a network to make the checklist available on the device you download from.The checklists in offline mode display small 3D models, the last added trend value, properties, and the document categories you select during the download process. Work orders and images are not available in offline mode.The changes you make in offline mode are synchronized when the device is reconnected to a network. Note that you can hide the page with the changes while in offline mode, but no changes are kept if you close the page or the browser with InField.Better user experience for TemplatesCheck out these improvements to Templates:Jobbe med sjekklister uten nettverkÅrets første versjon av InField gjør det mulig å jobbe med sjekklister på mobile enheter når du ikke er tilkoblet et nettverk. Når du velger Offline modus fra ikonet Flere valg (...) øverst til høyre på Sjekklister-siden blir sjekklisten tilgjengelig på enheten du laster ned fra.Når du ikke er tilkoblet et nettverk, vises mindre 3D-modeller, siste trend-verdi, attributter og dokument-kategoriene du valgte ved nedlasting. Arbeidsordrer og bilder vises ikke i offline modus.Alle endringene du gjør på en sjekkliste oppdateres når enheten på nytt tilkobles nettverket. Merk at du kan skjule siden med endringer mens du er i offline modus, men endringer lagres ikke hvis du lukker denne siden eller nettleseren med InField.Enklere bruk av MalerDisse nyttige funksjonene er nå tilgjengelig for Maler:

In this version of InField, we have cleaned up several minor issues to give you a more stable app. Most of these improvements are made behind the scenes, but here are a few you may notice:The Discipline info is moved from the right-hand side of the Template page to just below the Template name on the left-hand side. Very long template names are correctly displayed on the Template page. Time series are now selected and not just highlighted when you search in tags. Some user interface texts are made clearer. The link between the Equipment history (if used) and tag overview is fixed. I denne versjonen av InField har vi forbedret og fjernet flere mindre feil slik at du opplever en mer stabil applikasjon. De fleste av disse forbedringene er gjort i koden til systemet, men disse vil du nok legge merke til:Fagområde-info ble tidligere vist til høyre på Maler-siden. Dette finner du nå i stedet rett under mal-navnet på venstre side. Veldig lange mal-navn vises nå korrekt på Maler-siden. Tidsserier blir nå valgt, og ikke bare merket når du søker i tagger. Noen av tekstene i brukergrenssnittet er forbedret. Linken mellom Utstyrshistorikk (hvis dette brukes) og oversikten over tagger er rettet.