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[Part II] Version 15.3 is here! Updates to ONE AI, ONE, and ONE Data 🤖

Hi community! This is Part II of our v15.3 release updates ⚡ If you’d like to read Part I check it out here: In this post, you can find out what’s new in ONE and ONE Data in v15.3.So let’s get to it! ONE🤖AI Generation of test dataWith v15.3 we’re introducing number of updates to improve your testing processes - and as always something on top of that!You can now create realistic and diverse datasets to test your DQ rules and get ONE AI to help you debug rules by generating example inputs - saving you time and speeding up your testing process.How?When you open your Test Rule screen, select Generate inputs in the Test section on the Test Rule page. Please note that, at the moment, this is only possible for rules with just one rule condition applied. ONE AI can generate descriptions for your Attributes, Rules, and Business terms with a broader context🎊 ONE AI now offers an extended attribute description with parent catalog item information, increasing the available information on an attribute, rule or term. 📌If you haven’t enabled your AI feature yet, you can see how here: Generative AI in ONE. 🥷Automated data hidingThe data-hiding functionality is one of the most discussed topics on the community. For any Ataccama administrators, there is a need to limit the visibility & access while increasing the usage of the platform and now we are adding automation to that!Data hiding is based on the attribute’s classification and now we are automating it. We have a new user access control mechanism in ONE: data protection classification.Data protection classification enables you to manage access to sensitive and restricted data in your catalog.How?Hide data in attributes containing sensitive information by applying data classification tags to terms. Manage access to protected data for specific groups and users by editing their access level for data classification tags. Define the visibility of profile and DQ insights for protected attributes.To view existing data protection classification tags, go to Data Protection > Data Protection Classifications. To find out more, check out Data Protection Classification.Database Export in Data TransformationsUsing the Database output step you can write transformation plan outputs directly to a Database Table, either overwriting the catalog item data, appending new data, or creating a new catalog item. This includes:Exporting transformed data to a database table. Appending or replacing data. Creating new catalog items within the flow.For more information on how to create data transformations, see Data Transformation Plans.ONE DATACompare and Merge Records with ONE DataPreviously, it wasn’t possible to compare records side by side and see the differences easily or merge them swiftly, for example, when you identify any duplicities.We are excited to share that you can now compare and merge records manually with ONE Data, remove any duplicates, and maintain the quality of your data.Why use the comparison?Remediate data quality issues, resolve failed uniqueness checks. Compare selected records side by side. Merge records with… selected base record value from any other record manual input How?To begin the comparison, select at least two records in a ONE Data table. You can choose the merged value in any of the following ways:Select the value from a record column. Select the value in the Merge preview column or enter a new value manually.To merge the records with your changes, select Merge records.Check out our documentation for more information Compare and Merge Records with ONE Data and step by step implementation guides.Hope you’ve enjoyed our version 15.3 updates! Please let us know your thoughts, questions or suggestions in the comments below 👇

Related products:ONE Data
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[Part I] Version 15.3 is here! Updates to Monitoring Projects and MDM 🚀

Hi community 👋 We're very excited to announce that version 15.3 is out!We are proud to share we have now launched Data Hiding and Data Slicing features, which enhance access management and performance and they've been asked by many of you. Plus, there are over 250 big and small improvements overall😮Read on to find out what’s new in Part I of the v15.3 updates and let us know if you have any questions or feedback in the comments below 👇👇MDM🔗 Tasks - Clickable links and post actions on workflow transitionsYou can now add a clickable link field to the task description to provide any important and relevant information about the task. This can be linked to your source data or anything you would like to share with the users. The functionality is enabled in the  application.properties  file [MDM Server Application Properties Task Configuration] and the links can be created and updated via REST API.Tasks have now also an exciting new feature!We just introduced the option to define one or more actions that will be automatically executed after the specified transition in the task workflow. You can set a post action to send out a notification after a workflow or task status is changed via an email notification or sending a message to the JMS topic/queue to notify the downstream system. Additional post actions you can set up are:creating a new task updating a recordCheck out our Configuring Workflows and Permissions article to find out more about how to set up post actions step by step.Learn more about the rest of the MDM fixes, improvements, and updates in our Release Notes. Monitoring Projects🍕Data SlicingPreviously monitoring projects were run on the whole table which could be a resource and time-consuming task, especially for tables containing large amounts of historic records that are constantly updated with new data.We’ve now introduced data slicing, which you can use to evaluate a subset of a catalog item based on selected criteria rather than process the entire item with every job - saving resources.Using data slices you can:Optimize monitoring project performance on large datasets with a small portion of new data. Slice a large volume of data by a selected attribute(s) and run monitoring only on this relevant subset of data. Slice by date or string values. Easily define what the subset will be based on, for example, based on an attribute containing date information, or defined by country. This can be dynamic (that is, always based on the previous day or month) or static (based on a specific range).When to use data slices?If you need to slice/filter a large volume of data by the selected attribute and run DQ checks only on the relevant subset of data. If you need to run DQ checks/profiling/DQ evaluation for a filtered, based on predefined criteria, data subset. To see the results of the DQ check runs for a previously filtered data subset, so I can assess the DQ results progression over time. To see the results of the DQ check run for a full table, so I could use it in my project, if required.To learn more about data slicing, please see Create a Data Slice article.✅Additional improvementsYou can now assign auto-generated rule suggestions on the monitoring project rule suggestion page.And…hide non-matching rules in monitoring projects while focusing on relevant attributes with DQ checks applied.Stay tuned for Part II where we talk about data hiding, updates to ONE AI, and more!If you have any questions please let us know in the comments below 👇👇👇

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Ataccama documentation has a new home

We're thrilled to announce that Ataccama product documentation can now be found at https://docs.ataccama.com for version 14.5.x and later.In addition to the visual refresh and updated branding, the new documentation portal features better search, improved navigation, and feedback options for a smoother and more comfortable user experience. Moreover, our documentation is now open to the public*, so you can find answers to your questions even faster.*Exceptions include upgrade guides and security-related information, such as Security Advisories, which remain available only to Ataccama customers after authentication.What if I'm using version 14.4.0 or earlier?Versions prior to 14.5.0 are available only to Ataccama customers. You can find them at https://support.ataccama.com/downloads. Log in using your existing credentials.What if I can't find my product at https://docs.ataccama.com?This means that the migration for this product is still in the works and it will take us a few more weeks before it's completed.In the meantime, you can access the documentation in PDF format at https://support.ataccama.com/downloads. Log in using your existing credentials.Where do I find installation and upgrade packages?Log in to https://support.ataccama.com/downloads using your existing credentials, then find the version you're using.Give us feedback!Given the scope of the project, there is a chance you run into some hiccups and spot imperfections. Please let us know about these issues and help us make the portal even better.We hope you enjoy the new documentation experience and look forward to your feedback! ❗Some of the links shared on the community might not be accessible due to the documentation portal transition, please get in touch with us to request an up-to-date documentation link or access to previous resources. 

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Data Integration in v15.1 🚀

Hi community 👋Curious about what’s new on Data Integration features in v15.1?We have updates bringing you a streamlined deployment, enhanced customization, and extended capabilities to elevate your data processing experience. Read on to find out more 😎 Self-service deployment in managed Kubernetes Easily deploy data-processing capabilities to your Kubernetes infrastructure with no manual setup required. Our new entirely self-service update allows you to integrate with the platform's cloud services much more easily. This feature primarily focuses on ease in deployment if you are operating in your own Kubernetes cluster, it also minimizes the amount of data leaving its premises and adding another layer of privacy & security 🔐 Custom file import settings📂Tailor CSV and Excel file import settings for individual files, folders, or entire connections, providing enhanced flexibility. You can now, populate your Data Catalog with correct metadata or object storage connection and fix the file import options so that every file can be imported and processed correctly each time.How it works?Grant access only to the file import settings. Delegate updates and edits on catalog items and the file import settings for the file, any (sub)folder or whole connection. It’s also possible to change the settings for a file while only having the preview of data read with the modified settings. Orchestration Server updatesWe now have more but simplified capabilities for the Portal Orchestration Server enabling additional connectivity to Azure Data Lake Storage 2, Google Cloud Storage, Google Drive, Kafka, and Salesforce.That’s not all! There is an extended monitoring update with business metrics for workflows, tasks, and plans, including running/max and successful/failed indicators.Learn more about the improved configurations and file handling and debugging. Questions? Thoughts? Share them in the comments below 👇

Related products:DI
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Updates to Data Governance v15.1 🏢

Hello community! 👋 We hope that you are excited about all the updates and here is another one!Get ready for the latest in Data Governance with version 15.1, in which we are both introducing new features while improving some existing functionalities 🚀 What’s new?Tableau Server Connection in Report Catalog:In addition to the Tableau Cloud connectivity, you can now connect ONE Catalog with the Tableau Server (On-Premise). The connection is unidirectional and allows you to store your reports preview of the assets created in Tableau. How it works?Create the connection to ONE with your BI Tool (Tableau). You can follow the instructions described in Tableau Connection, and import reports. These can be on several levels: the whole Project, a Workbook of the particular project, a Data Source of the workbook, a particular Sheet, a Dashboard, or a Story. You can either select the whole project or click to expand the list of workbooks. Review & Sign Off Term Suggestions in One Place:Save time with the new Term Suggestions under the Knowledge Catalog for processing AI term suggestions. You can now see, approve, and reject them from a single place. Suggestions processed here are automatically published. How it works?Filter out the suggestion results according to your business needs and review the term suggestions available. You can approve or reject in the Action column with one click. Review Workflow Usability Improvements:You can now use more granular task assignments in the Review Request Workflow and have reviews done by specific roles or users. If there are any changes in the team structure or access levels, the right people can see the task and reassign it. Streamline approval of the changes you make and minimize room for errors with the enhanced workflow. How it works?You can now assign roles in the Review Request Workflows, and ensure security and access is given to the right users. If there are changes in the team structure or access levels, you can reassign the task as well.  Enhanced Metadata Import:Now, you can reliably scan even very large data sources, and access the results faster than before.How it works?If you have a large-scale data source in your data landscape, you can import their structure (metadata) in one go easily. The limits of assets in one data source were improved by order of magnitude for example, for common databases you can import up to 850,000 catalog items (tables) at once.There is also a significant improvement in the metadata importing speed up to 3x faster than before ⚡ Let us know if you have any questions or feedback on the latest updates in Data Governance in the comments below👇

Related products:DG
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Updates to ONE Data v15.1 ✨🎨

Hi everyone, We are so happy to share more exciting updates in v15.1 🚀 Read on to find out more about what’s new on ONE Data in the latest version 👇Let’s dive in 🤿 Remediate DQ issues from Monitoring ProjectYou can now import data and DQ results from Monitoring Project (MP) into ONE Data in a self-service way without any IT support to define post-processing plans using ONE Desktop. Your data and DQ results will be loaded to ONE Data in each Monitoring Project run with an option to choose to import All Records vs Only Invalid Records. UX improvements 🎨We also have multiple UX improvements from the ability to fill in multiple cells at once, enhanced keyboard shortcuts, DQ filter behavior, and more!  Stewardship in ONE Data tables 👥You can now manage access to ONE Data tables through stewardship and also change the access levels when you create a new dataset. If you are creating a table from scratch instead of loading an existing catalog item or importing a file, change the stewardship from the table Overview tab.Top tip ✨ assign ownership of your tables when creating a new ONE Data table to prevent any unauthorized access. If it is not set on the table level, the stewardship configuration is inherited from the data source. Overwrite existing ONE Data tables ✍️When loading data to ONE Data from another catalog item in ONE, you can now overwrite an existing table instead of creating a new one.To do this, select Overwrite existing ONE Data table and choose the table you want to replace. Keep in mind this deletes all existing data from the selected table.Data operations within the platform are updated to distinguish from operations exporting data outside of it. We have a new control design and terminology upgrade. Load to ONE Data function as a standalone operation for easy access. Let us know what you think of the newest improvements in the comments below 👇

Related products:ONE Data
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Updates to Data Stories v15.1🎇

Hi community 👋In this post, find out the latest updates for Data Stories in v15.1, such as seamless navigation between Data Stories and the Knowledge Catalog for a unified experience and the enhanced Visualization Builder with condensed layouts, and new functionalities.Now you can use Data Stories more intuitively and efficiently for data storytelling🚀Let’s dive in!What’s new with Data Stories?Seamless navigation to Knowledge Catalog📚Link to Knowledge Catalog in Data Stories navigation:Navigate between Data Stories and the Knowledge Catalog from the was never easier with direct access to your Knowledge Catalog.  Visualization Builder 🎨Updated navigation and attribute list:A more condensed layout designed to fit displays with smaller resolutions, ensuring a more efficient and visually pleasing experience.Enhanced data view:Source catalog item or Data Quality (DQ) result names prominently displayed above raw data in the table, providing a clear reference to data sources.Ability to rearrange tabs in the Visualization Builder:When you have multiple visualizations in your collection, it’s not always easy to find the ones you need. Now, you can organize your tabs in collections for easy management and group them by topic or visualization type.Ability to define segments in the KPI widget:The KPI widget now allows you to define specific performance ranges visually, providing a clearer representation of key data points.Top/Bottom values feature refresh:The formerly named Top N feature has been rebranded to Top/Bottom Values, accompanied by a refreshed UI and an information box explaining its impact on visualization results. The support was also extended to Pivot Table. Additional ImprovementsEffortless visualization copying:Management of visualization has been made easier with the new features that allows you to copy or move a visualization from one collection to another. This feature not only saves you time but also helps you better organize your visualizations by grouping them according to your needs.Localization support:You can now use Data Stories in English, German, French, Italian, and Czech 🗣️ Your ONE language preference will be reflected on Data Stories and you can always change it under User Settings.We hope that you are as excited about these upcoming enhancements as we are! They are built to make your Data Stories experience even more intuitive, efficient and tailored to your specific needs.Stay tuned for more exciting announcements and share your thoughts on the latest Data Stories features in the comments 👇

Related products:DQDS
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ONE AI is here 🚀

Hi everyone 👋Get ready for some exciting news🥁🥁🥁This release is probably one of the most awaited updates for Ataccama ONE - we are so excited to share that ONE AI is finally here!ONE AI can generate DQ Rules, create and interpret SQL queries, automate routine tasks, and more, allowing your teams to devote their time to more strategic and value-driven initiatives, while simultaneously making trusted data easily accessible to all users.AI-Powered Data Quality ✅ Generate complex DQ rules from plain text or apply AI-driven rule suggestions Empower any user to improve DQ effortlessly by providing recommendations and creating actionable DQ rules via plain text conversions – no need to code. ONE AI can generate rule suggestions based on your metadata and profiling results, and you can decide & approve new rules according to relevancy and your needs. It’s also possible to use ONE AI to automatically detect the most relevant DQ rules for your specific datasets and create ONE Expressions in rule implementation.  Assisted Rule Management, Anomaly Detection, Time Series Analysis and Freshness Monitoring are just a few other highlights of the AI-driven data quality features, making data rule creation and assignment much easier.  AI-powered Data Governance📖Generate Table DescriptionsAutomatically generate descriptions for your table catalog items to streamline the data catalog management, enhancing data asset documentation. Now, you can perform data documentation much faster leveraging the new ONE AI for automated asset categorization, classification, and description creation. Use AI to fill in a table description in the database or catalog, and help your team members facilitate through various tables in ease. Don’t forget to save before leaving! SQL generation 🪄Create SQL queries using natural language Interpret existing SQL queries for better understanding Perform SQL-to-text explanationsSay goodbye to the complexities of SQL!When you need to create specific data assets for tracking the Data Quality and anomalies on the partition of table you’d initially use SQL.Now, you can use ONE AI and express your data needs in plain text and let ONE AI to generate the correct SQL syntax for the specific database. ONE AI can also interpret existing SQL query that might have been created by any of your colleagues and turn into plain text for ease of understanding by anyone. Chat with our documentation 💬Get simplified documentation access; chat with 100+ docs available on any app page Ask your questions and let the AI help you with navigating through our documentation with follow-up’s and resourcesYou can now ask questions and query data using plain language in ⚡ speed. Don't dig through the long product documentation. Simply ask what you want to know and ONE AI will answer it for you.For a detailed overview of the ONE AI v15.1 features, check out Generative AI in ONE.Stay tuned for more updates and share your questions and feedback on the ONE AI below! 👇To find out more, please contact us here, or reach out to your Account Executive. 👋

Related products:DGDQ
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