fabric
65 TopicsLimited-Time Free DP-600 and DP-700 Partner Certification Offer | Terms and Conditions
Offer Terms and Conditions The DP-600 and DP-700 partner exam voucher offer is available to eligible participants as explained in the Rules and Restrictions below. Eligible participants can receive one free Microsoft Certification exam voucher that they can apply to the following exams only: DP-600 and DP-700. Rules and Restrictions: This offer expires June 30, 2025. This exam offer may be redeemed to take one (1) qualifying Microsoft Certification exam (as outlined below), delivered at an authorized Pearson Vue testing center or through a Pearson Vue online proctoring site by the expiration date on the voucher. This exam offer is exam-specific and only redeemable for the following exams: DP-600 - Fabric Analytics Engineer Associate DP-700 - Fabric Data Engineer Associate To be eligible to receive this exam offer you must: Be an employee of a Microsoft partner organization. Provide your partner org email address. Must be a member of the Fabric Partner Community Team channel. If you are not a member, you can join by completing the form athttps://aka.ms/JoinFabricPartnerCommunity. You must submit your request via thisForm. This offer is subject to availability and can be ended at any time. TheFormsubmissions will be reviewed monthly and exam vouchers will be distributed the first Monday of each month, pending eligibility and availability. Exam vouchers, redemption details, and other communications related to this Offer will be distributed via email. You must use the exam voucher to book the exam by the last day of the month in which you receive the voucher.The exam must be taken before the expiration date on the voucher. This exam offer may only be redeemed once. This exam offer may not be redeemed or exchanged for cash, credit or refund. This exam offer is nontransferable and is void if you alter, revise or transfer it in any way. Any sale or transfer of this voucher code is expressly prohibited and constitutes fraud. Microsoft, Pearson VUE, and the VUE test centers are not responsible for lost or stolen voucher codes. Individuals that (a) fail to show up for their scheduled exam appointment, or (ii) cancel or reschedule their appointment to take an exam seventy-two hours or less from the scheduled time may forfeit their voucher code (voucher code cannot be used again). The fair market value of this exam voucher is $165 (USD). Taxes, if any, are the sole responsibility of the recipient. This offer is subject to availability and can be ended at any time. Prior to redeeming your free certification exam, government employees must check with their employers to ensure their participation is permitted, and in accordance with applicable with ethics and compliance policies and laws. This exam offer is not valid and void to applicants residing in Belarus, Cuba, Iran, North Korea, Russia, Syria, Region of Crimea, and where prohibited. For additional issues and questions, please contact fabricpartnersteam@microsoft.com.2.2KViews8likes9CommentsJoin the Fabric Partner Community for this Week's Fabric Engineering Connection calls!
Are you a Microsoft Partnerthat is interested in data and analytics? Be sure to join us for this week's Fabric Engineering Connection call, now offered at two different times! 🎉 Tamer Farag will be joining both calls to discuss the latest and greatest related to partner offerings and updates, including certifications, Fabric Featured Partners, trainings, incentives, and more. The Fabric Engineering Connection call taking place Wednesday, January 15, from 8-9 am PST. The APAC Fabric Engineering Connection call taking place Thursday, January 16, from 1-2 am UTC/Wednesday, January 15, from 5-6 pm PST. This is your opportunity to learn more, ask questions, and provide feedback.To join the call, you must be a member of the Fabric Partner Community Teams channel.To join, complete the participation form athttps://aka.ms/JoinFabricPartnerCommunity. We can't wait to see you this week!20Views1like0CommentsMicrosoft In a Day (XIAD) Partner Events Program - Train the Trainer Events (FAIAD/RTIAD)
We invite you to attend an upcoming Train the Trainer session for Microsoft Partners to learn more about theMicrosoft In a Day (XIAD) Partner Events Programand how to lead workshops that empower customers to use and adopt Microsoft products. Our Train the Trainer events are designed to provide you with the knowledge and tools necessary to deliver successful Microsoft In a Day (XIAD) sessions. ✨Why Attend? Hands-On Experience:Participate in labs and demos just like customers will. Expert Guidance:Learn from experienced trainers and get your questions answered. Comprehensive Resources:Access all the content and support you need to succeed. 📅Upcoming Events: Fabric Analyst in a Day (FAIAD) Friday, January 24, 2025 | 9:00 AM – 5:00 PM (GMT-06:00) Central Time Fabric Analyst in a Day (FAIAD) Friday, February 14, 2025 | 9:00 AM – 5:00 PM (GMT+01:00) Central European Time Real-Time Intelligence in a Day (RTIAD) Friday, February 28, 2025 | 9:00 AM – 5:00 PM (GMT-06:00) Central Time Real-Time Intelligence in a Day (RTIAD) Friday, March 14, 2025 | 9:00 AM – 5:00 PM (GMT+01:00) Central European Time Once registered, look for your registration confirmation email fromnotification@msftevents.microsoft.comthat containsyour unique Teams meeting link to join the virtual event. Be sure to check spam and junk folders, and mark as a safe sender. If you are unable to locate your registration confirmation, emailpappspartnerevents@microsoft.com. We look forward to seeing you at an upcoming event! Are you a Microsoft Partner interested in the opportunity to join the program and deliver Microsoft In a Day (XIAD) events? 🔍 Learn more about the program and review partner eligibility criteria:https://aka.ms/xiadpartneropportunity. 📧 Contact the XIAD Program team:xiadevents@microsoft.com 📤 Submit requests to deliver events:https://aka.ms/xIAD/PartnerEvents94Views2likes0CommentsMondays at Microsoft | Episode 35
NOW ON DEMAND | Get ready for the week with "Mondays at Microsoft" - this time *on Tuesday*! Karuana Gatimu & Heather Cook will focus on Trustworthy AI, new Copilot features, fighting deepfakes, Office 2024 release update, plus highlight upcoming community events, and more. Aired Tuesday, October 8th, 2024, 8:00am PDT. See you there! #CommunityLuv💝 Show notes & links to all that was shared and discussed on October 8th, 2024: "Microsoft Trustworthy AI: Unlocking human potential starts with trust" by Takeshi Numoto. Live from the Microsoft AI Tour: Mexico City - https://aka.ms/MicrosoftAITourLive. Copilot is an AI companion for everyone, with new Vision and Voice features. "Fighting deepfakes with more transparency about AI" by Vanessa Ho. "Office 2024 for consumers available October 1" by Bryan Rognier — https://aka.ms/Office2024. "Microsoft recognized as a Leader in the 2024 Gartner® Magic Quadrant™ for Desktop as a Service for the second year in a row" by Stefan Kinnestrand. Power Apps Pulse video series hosted by April Dunnam + What's new in Power Apps. "European Fabric Community Conference 2024: Building an AI-powered data platform" by Arun Ulagaratchagan + "Activate your data responsibly in the era of AI with Microsoft Purview" by Rudra Mitra. To learn more about the Microsoft Global Community Initiative - a meeting place for all who are part of the Microsoft Community ecosystem, all are welcome:https://aka.ms/MGCI. We launched a new page listing our newly minted regional directors: https://aka.ms/MGCIAdvisors. "Get ready for the 2025 Microsoft Imagine Cup: Let the innovation begin!" by the Student Developer Evangelism Team. Find your next event: https://CommunityDays.org Community Days speakerboard – https://communitydays.org/speakerboard Microsoft Ignite | November 19-22, 2024, in Chicago, IL, USA. In person is sold out. Online is open to all - register today. Join us for the next episode of Mondays at Microsoft (this one back on Monday) with Karuana Gatimu and Heather Cook on Monday, October 21st, 8:00am PDT. Check out our page for our show and Community Studio efforts at https://aka.ms/MondaysAtMicrosoft.1.1KViews1like13CommentsGeneral Availability - Medical imaging DICOM® in healthcare data solutions in Microsoft Fabric
As part of the healthcare data solutions in Microsoft Fabric, the DICOM® (Digital Imaging and Communications in Medicine) data transformation is now generally available. Our Healthcare and Life Sciences customers and partners can now ingest, store, transform and analyze DICOM® imaging datasets from various modalities, such as X-rays, CT scans, and MRIs, directly within Microsoft Fabric. This was made possible by providing a purpose-built data pipeline built to top of the medallion Lakehouse architecture. The imaging data transformation capabilities enable seamless transformation of DICOM® (imaging) data into tabular formats that can persist in the lake in FHIR® (Fast Healthcare Interoperability Resources) (Silver) and OMOP (Observational Medical Outcomes Partnership) (Gold) formats, thus facilitating exploratory analysis and large-scale imaging analytics and radiomics. Establishing a true multi-modal biomedical Lakehouse in Microsoft Fabric Along with other capabilities in the healthcare data solutions in Microsoft Fabric, this DICOM® data transformation will empower clinicians and researchers to interpret imaging findings in the appropriate clinical context by making imaging pixel and metadata available alongside the clinical history and laboratory data. By integrating DICOM® pixels and metadata with clinical history and laboratory data, our customers and partners can achieve more with their multi-modal biomedical data estate, including: Unify your medical imaging and clinical data estate for analytics Establish a regulated hub to centralize and organize all your multi-model healthcare data, creating a foundation for predictive and clinical analytics. Built natively on well-established industry data models, including DICOM®, FHIR® and OMOP. Build fit-for-purpose analytics models Start constructing ML and AI models on a connected foundation of EHR and pixel-data. Enable researchers, data scientists and health informaticians to perform analysis on large volumes of multi-model datasets toachieve higher accuracy in diagnosis, prognosis and improved patient outcomes 1 . Advance research, collaboration and sharing of de-identified imaging Build longitudinal views of patients’ clinical history and related imaging studies with the ability to apply complex queries to identify patient cohorts for research and collaboration. Apply text and imaging de-identification to enable in-place sharing of research datasets with role-based access control. Reduce the cost of archival storage and recovery Take advantage of the cost-effective, HIPAA compliant and reliable cloud-based storage to back up your medical imaging data from the redundant storage of on-prem PACS and VNA systems. Improve your security posture with a 100% off-site cloud archival of your imaging datasets in case of unplanned data loss. Employ AI models to recognize pixel-level markers and patterns Deploy existing precision AI models such as Microsoft’s Project InnerEye and NVIDIA’s MONAI to enable automated segmentation of 3D radiology imaging that can help expedite the planning of radiotherapy treatments and reduce waiting times for oncology patients. Conceptual architecture The DICOM® data transformation capabilities in Microsoft Fabric continue to offer our customers and partners the flexibility to choose the ingestion pattern that best meets their existing data volume and storage needs. At a high level, there are three patterns for ingesting DICOM® data into the healthcare data solutions in Microsoft Fabric. Depending on the chosen ingestion pattern, there are up to eight end-to-end execution steps to consider from the ingestion of the raw DICOM® files to the transformation of the Gold Lakehouse into the OMOP CDM format, as depicted in the conceptual architecture diagram below. To review the eight end-to-end execution steps, please refer to the Public Preview of the DICOM® data ingestion in Microsoft Fabric. Conceptual architecture and ingestion patterns of the DICOM® data ingestion capability in Microsoft Fabric You can find more details about each of those three ingestion patterns in our public documentation: Use DICOM® data ingestion - Microsoft Cloud for Healthcare | Microsoft Learn Enhancements in the DICOM® data transformation in Microsoft Fabric. We received great feedback from our public preview customers and partners. This feedback provided an objective signal for our product group to improve and iterate on features and the product roadmap to make the DICOM® data transformation capabilities more conducive and sensible. As a result, several new features and improvements in DICOM® data transformation are now generally available, as described in the following sections: All DICOM® Metadata (Tags) are now accessible in the Silver Lakehouse We acknowledge the importance and practicality to avail all DICOM® metadata, i.e. tags, in the Silver Lakehouse closer to the clinical and ImagingStudy FHIR® resources. This makes it easier to explore any existing DICOM® tags from within the Silver Lakehouse. It also helps position the DICOM® staging table in the Bronze Lakehouse (ImagingDICOM) as a transient store, i.e., after the DICOM® metadata is processed and transformed from the bronze Lakehouse to the Silver Lakehouse, the data in the bronze staging table can now be considered as ready to be purged. This ensures cost and storage efficiency and reduces data redundancy between source files and staging tables in the bronze Lakehouse. Unified Folder Structure OneLake in Microsoft Fabric offers a logical data lake for your organization. Healthcare data solutions in Microsoft Fabric provide a unified folder structure that helps organize data across various modalities and formats. This structure streamlines data ingestion and processing while maintaining data lineage at the source file and source system levels in the bronze Lakehouse. A complete set of unified folders, including the Imaging modality and DICOM® format, is now deployed as part of the healthcare data foundation deployment experience in the healthcare data solutions in Microsoft Fabric. Purpose-built DICOM® data transformation pipeline Healthcare data foundations offer ready-to-run data pipelines that are designed to efficiently structure data for analytics and AI/machine learning modeling. We introduce an imaging data pipeline to streamline the end-to-end execution of all activities in the DICOM® data transformation capabilities. The DICOM® data transformation in the imaging data pipeline consists of the following stages: The pipeline ingests and persists the raw DICOM® imaging files, present in the native DCM format, in the bronze Lakehouse. Then, it extracts the DICOM® metadata (tags) from the imaging files and inserts them into the ImagingDICOM table in the bronze Lakehouse. The data in the ImagingDICOM will then be converted to FHIR®ImagingStudyNDJSON files, stored in OneLake. The data in the ImagingStudy NDJSON files will be transformed to relational FHIR® format and ingested in the ImagingStudy delta table in the Silver Lakehouse. Compression-by-design Healthcare data solutions in Microsoft Fabric support compression-by-design across the medallion Lakehouse design. Data ingested into the delta tables across the medallion Lakehouse are stored in a compressed, columnar format using parquet files. In the ingest pattern, when the files move from theIngestfolder to theProcessfolder, they will be compressed by default after successful processing. You can configure or disable the compression as needed. The imaging data transformation pipeline can also process the DICOM® files in a raw format, i.e. dcm files, and/or in a compressed format, i.e. ZIP format of dcm files/folders. Global configuration The admin Lakehouse was introduced in this release to manage cross-Lakehouse configuration, global configuration, status reporting, and tracking for healthcare data solutions in Microsoft Fabric. The admin Lakehouse system-configurationsfolder centralizes the global configuration parameters. The three configuration files contain preconfigured values for the default deployment of all healthcare data solutions capabilities.You can use the global configuration to repoint the data ingestion pipeline to any source folder other than the unified folder configured by default. You can also configure any of the input parameters for each activity in the imaging data transformation pipeline. Sample Data In this release, a more comprehensive sample data is provided to help you run the data pipelines in DICOM® data transformation end-to-end and explore the data processing in each step through the medallion Lakehouse, Bronze, Silver and Gold. The imaging sample data may not be clinically meaningful, but they are technically complete and comprehensive to demonstrate the full DICOM® data transformation capabilities 2 . In total, the sample data for DICOM® data transformation contains 340, 389 and 7739 DICOM® studies, series and instances respectively. One of those studies, i.e. dcm files, is an invalid DICOM® study, which was intentionally provided to showcase how the pipeline manages files that do not conform to the DICOM® format. Those sample DICOM® studies are related to 302 patients and those patients are also included in the sample data for the clinical ingestion pipeline. Thus, when you ingest the sample data for the DICOM® data transformation and clinical data ingestion, you will have a complete view that depicts how the clinical and imaging data would appear in a real-world scenario. Enhanced data lineage and traceability All delta tables in the Healthcare Data Model in the Silver Lakehouse now have the following columns to ensure lineage and traceability at the record and file level. msftCreatedDatetime: the datatime at which the record was first created in the respective delta table in the Silver Lakehouse msftModifiedDatetime: the datatime at which the record was last modified in the respective delta table in the Silver Lakehouse msftFilePath: the full path to the source file in the Bronze Lakehouse (including shortcut folders) msftSourceSystem: the source system of this record. It corresponds to the [Namespace] that was specified in the unified folder structure. As such, and to ensure lineage and traceability extend to the entire medallion Lakehouse, the following columns are added to the OMOP delta table in the Gold Lakehouse: msftSourceRecordId: the original record identifier from the respective source delta table in the Silver Lakehouse. This is important because OMOP records will have newly generated IDs. More details are provided here. msftSourceTableName: the name of the source delta table in the Silver Lakehouse. Due to the specifics of FHIR-to-OMOP mappings, there are cases where many OMOP tables in the Gold Lakehouse may be sourced from the same/single FHIR table in the Silver Lakehouse, such as the OBSERVATION and MEASUREMENT OMOP delta tables in the Gold Lakehouse that are both sources from the Observation FHIRL delta table in the Silver Lakehouse. There is also the case where a single delta table in the Gold Lakehouse may be sourced from many delta tables in the Silver Lakehouse, such as the LOCATION OMOP table that could be sourced from either the Patient or Organization FHIR table. msftModifiedDatetime: the datatime at which the record was last modified in the respective delta table in the Silver Lakehouse. In summary, this article provides comprehensive details on how the DICOM® data transformation capabilities in the healthcare data solutions in Microsoft Fabric offer a robust and all-encompassing solution for unifying and analyzing the medical imaging data in a harmonized pattern with the clinical dataset. We also listed major enhancements to these capabilities that are now generally available for all our healthcare and life sciences customers and partners. For more details, please refer to our public documentation:Overview of DICOM® data ingestion - Microsoft Cloud for Healthcare | Microsoft Learn 1 S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises. arXiv:2008.09104 2 Microsoft provides the Sample Data in the Healthcare data solutions in Microsoft Fabric on an "as is" basis. This data is provided to test and demonstrate the end-to-end execution of data pipelines provided within the Healthcare data solutions in Microsoft Fabric. This data is not intended or designed to train real-world or production-level AI/ML models, or to develop any clinical decision support systems. Microsoft makes no warranties, express or implied, guarantees or conditions with respect to your use of the datasets. To the extent permitted under your local law, Microsoft disclaims all liability for any damages or losses, including direct, consequential, special, indirect, incidental, or punitive, resulting from your use of this data. The Sample Data in the Healthcare data solutions in Microsoft Fabric is provided under theCommunity Data License Agreement – Permissive – Version 2.0 DICOM®is the registered trademark of the National Electrical Manufacturers Association (NEMA) for its Standards publications relating to digital communications of medical information. FHIR®is a registered trademark of Health Level Seven International, registered in the U.S. Trademark Office, and is used with their permission.What are the funding options available w.r.t Fabric?
We are planning to conduct Fabric In a Day and trying to do few POCs in our key accounts. Can you please share what are the funding options available w,r.t Fabric opportunity. I have referred Microsoft Commerce Partner Incentives Oct'24.pdf sheet and taken note of that. But if we can get more details on all the funding options available that would be helpful.78Views0likes5CommentsJoin the Fabric Partner Community for this Week's Fabric Engineering Connection!
Are you a Microsoft partner thatis interested in data and analytics? Be sure to join us for the final Fabric Engineering Connection of 2024! We will feature presentations from Maya Shenhav on Power BI Mobile and Matthew Hicks on Shortcuts to Iceberg Tables. Plus, join us early, from 7:45-8 am PT, for some holly jolly fun with our holiday-themed trivia contest! 🎅 🎄 This is your opportunity to learn more, ask questions, and provide feedback. To join the call, you must be a member of the Fabric Partner Community Teams channel. To join, complete the participation form at https://aka.ms/JoinFabricPartnerCommunity. We can't wait to see you Wednesday!38Views1like0CommentsFabric CI/CD issues
Hi, community, I'm currently working on a complex Microsoft Fabric project that requires going through a CI/CD process to deploy Fabric through dev, test, pre-prod and prod environments. Because the fabric deployment pipelines are limited: 1. have no parametrisation options; 2. when the workspaces are associated with GitHub where they don't push across the complete item definitions. I have gone the route of using Azure DevOps with GitHub as outlined in this link I found: https://github.com/Azure-Samples/modern-data-warehouse-dataops/tree/main/single_tech_samples/fabric/... The solution outlined in the Azure Samples repois centredaround usingtheFabric API to download, create,and update Fabric items. For the most part, this is working. However, for some items, there areeither heavy limitations or they don't seem to work. I have been usinghttps://learn.microsoft.com/en-us/rest/api/fabric/articles/as the guideline for what to expect regarding item definitions, as the items don't seem to follow acommonformat. There are currently four roadblocks I am facing: For LakehouseData Pipeline: Can I create the Data Pipeline using Service Principal? Strangely,other Fabric items support CRUD operations with the Service Principal,but only the Data Pipeline API canbe authenticated via user identity (Items - Create Data Pipeline - REST API (DataPipeline) | Microsoft Learn). I can create a new Data pipeline using the API but can't pull down the definitions from the workspace to commit them to GitHub. It only seems to support the name and description. I tried exporting it manually, and it gives the deployment template and a manifest but no .platform file. It's unclear what files I should expect here, as they don't seem to be documented. Am I missing anything here? For KQL Database: Although it's currently supported by Fabric API, as stated by Microsoft documentation when exporting KQL Database item definition and config files via the Fabric API, I'm getting an 'unknown error' from the API response. Has anyone experienced the same? Eventhouse and Lakehouse: Child items such as KQL Database and Queryset for Eventhouse, Notebook and Data Pipeline for Lakehouse are created alongside when creating Eventhouse and Lakehouse on the Fabric workspace. However, the hierarchical lineageis not preservedwhen downloading the item definition files for Eventhouse and Lakehouse. These child itemsare treatedas independent items.Is there any impact when deploying them into the new environment as independent items without the lineage information? Is there any way to programmatically delete Fabrics workspaces? When deleting a workspace via the Fabric API, the recently deleted workspace will remain obsolete depending on the retention period setting and cannot be permanently removed using Fabric API. Manual intervention is required to remove those workspaces. Otherwise, all succeeding automated processes will be stopped. Can anyone help with any of these questions? That’d be much appreciated Regards, Spencer53Views0likes1Comment🚀 Calling All Capacity Management Pros! 🚀
Are you involved incapacity managementas part of your day-to-day in Microsoft Fabric? Here’s your chance to shape the future of Fabric! We’re looking for people toreview early design conceptsand provide valuable input that will directly influence the product’s evolution. What to expect: Be among the first to seenew design concepts. Share yourexpert insightsto improve Fabric for everyone. A quick and easy process—NDAs are required but simple to complete. 👉Interested? Please fill out this form: https://microsoft.qualtrics.com/jfe/form/SV_6rlmLJgmlCtlavA Your expertise could make a huge difference! 🌟23Views1like1Comment