Limited-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 at https://aka.ms/JoinFabricPartnerCommunity. You must submit your request via this Form. This offer is subject to availability and can be ended at any time. The Form submissions 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.Empowering multi-modal analytics with the medical imaging capability in Microsoft Fabric
This blog is part of a series that explores the recent announcement of the public preview of healthcare data solutions in Microsoft Fabric. The DICOM® (Digital Imaging and Communications in Medicine) data ingestion capability within the healthcare data solutions in Microsoft Fabric enables the storage, management, and analysis of imaging metadata from various modalities, including X-rays, CT scans, and MRIs, directly within Microsoft Fabric. It fosters collaboration, R&D and AI innovation for healthcare and life science use cases. Our customers and partners can now integrate DICOM® imaging datasets with clinical data stored in FHIR® (Fast Healthcare Interoperability Resources) format. By making imaging pixels and metadata accessible alongside clinical history and laboratory data, it enables clinicians and researchers to interpret imaging findings in the appropriate clinical context. This leads to enhanced diagnostic accuracy, informative clinical decision-making, and ultimately, improved patient outcomes.
Providing a unified healthcare analytics solution for the era of AI
This blog is part of a series that explores the recent announcement of the public preview of healthcare data solutions in Microsoft Fabric. Healthcare data solutions in Microsoft Fabric is a comprehensive, end-to-end analytics SaaS platform that allows you to ingest, store, and analyze healthcare data from a variety of sources, including electronic health records and picture archiving and communication systems. With this platform, you can unlock new insights and drive value from your healthcare data.
Understanding the Microsoft MVP Program: Seeking Clear Guidance
Hello everyone, I’d like to start a discussion about the Microsoft Most Valuable Professional (MVP) Program. My main concern is understanding the process of becoming an MVP and the specific requirements involved. I know the program recognizes exceptional community leaders and experts who share their knowledge and support others, but the actual path to nomination and selection seems a bit unclear. Could anyone share clear guidance on the eligibility criteria, the nomination process, the types of contributions that are most valued, and practical tips to strengthen an application? Your insights and experiences would be highly valuable, not just to me but also to others in the community who may be interested in pursuing this recognition. Thank you so much for your attention and participation.
Microsoft In a Day (XIAD) Partner Events Program - Train the Trainer Events (DIAD/FAIAD/RTIAD)
We invite you to attend an upcoming Train the Trainer session for Microsoft Partners to learn more about the Microsoft 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: Dashboard in a Day This is a one-day, hands-on workshop for business analysts, covering the breadth of Power BI capabilities. Currently available on-demand. Inquire at xiadevents@microsoft.com Fabric Analyst in a Day This is an intermediate-level training designed for Power BI Data Analysts who have at least one year of experience on Power BI but are new to Microsoft Fabric. August 22, 2025 (CET - EMEA) : Fabric Analyst in a Day August 29, 2025 (CET - EMEA) : Fabric Analyst in a Day September 22, 2025 (CST - AMERICAS) : Fabric Analyst in a Day Real-Time Intelligence in a Day This is an intermediate-level training designed for Power BI developers looking to extract insights and visualize streaming and time sensitive data. August 15, 2025 (CET - EMEA) : Real-Time Intelligence in a Day September 12, 2025 (CST - AMERICAS): Real-Time Intelligence in a Day Once registered, look for your registration confirmation email from notification@msftevents.microsoft.com that contains your 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, email pappspartnerevents@microsoft.com. We look forward to seeing you at an upcoming event! Partner with us! 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/PartnerEventsGeneral 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 to achieve 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® ImagingStudy NDJSON 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 the Ingest folder to the Process folder, 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-configurations folder 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 the Community 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.Know Before You Go to the 2024 European Microsoft Fabric Community Conference!
Earlier this year, our first-ever Microsoft Fabric Community Conference in Las Vegas saw over 4,200 attendees engaging with experts and gaining hands-on experience with Fabric. We’re thrilled to announce that in response to overwhelming demand, we’re bringing this incredible experience to Europe—offering even more opportunities for hands-on learning and professional growth! We are so excited to meet our partners at the inaugural European Microsoft Fabric Community Conference, being held September 25-27, 2024 at the Stockholmsmässan in Stockholm, Sweden. With 130 track sessions, 4 keynotes, 10 workshops, Expo, Community Lounge, Ask the Experts, DE&I Programme, Women in Tech Lunch and more, this will be the most comprehensive learning event for Microsoft Fabric, ever! Partner Activities at FabCon Europe: Partner Pre-Day: Join us Tuesday, September 24, for a full day of learning and networking, exclusive to partners attending #FabConEurope. Throughout the day, we will have a keynote on the Fabric partner opportunity, expert-led deep dives on content tailored to Microsoft partners, including how to build a Fabric practice, resources, incentives, a partner panel discussion, an AMA session with Fabric LT, and more! See the full agenda here. Time: Tuesday, September 24, 09:00-17:00 CEST Where: Room K1, Stockholmsmässan How to join us: Pre-registration is required. To add Partner Pre-Day to an existing registration, or change your registration from a tutorial to Partner Pre-Day, please complete the Partner Change Form. Partner Happy Hour: Join us Tuesday after Partner Pre-Day to meet and mingle with your peers, the Fabric Partner Team, the Fabric leadership and product teams, as well as MVPs and community leaders. This event is open only to Microsoft partners and MVPs. Time: Tuesday, September 24, 17:00-19:00 CEST Location: K Foyer, Stockholmsmässan 1:1 Executive Connections: Request to meet 1:1 with the Fabric Partner Team, engineering leads, and/or executives to discuss your partner priorities and needs. Deadline: Submit the request form https://aka.ms/RequestPartnerMeetings-FabCon by Friday, September 13. Confirmation: You will receive meeting details by Wednesday, September 18. Partner Open House: Stop by to meet the Fabric Partner Team and learn more about how we support partners in building your Fabric practice. Request a free DP-600 exam voucher while there! Time: Thursday, September 26, 15:00-17:00 Location: Room K12, Stockholmsmässan Location Map of Partner Activities CVENT App: Stay connected during the conference! Download the CVENT app to view the full conference schedule (including partner activities), participate in partner discussion groups, visit the Partner Page, network with peers, and more. Meet the Fabric Partner Team: Tamer Farag Fabric Partner Ecosystem Team Lead Connect on LinkedIn Prashant Gutala Fabric Partner Ecosystem Lead for depth motions Connect on LinkedIn Nikolina Kvesic Fabric Partner Ecosystem Lead for XIAD and Partner Enablement Connect on LinkedIn Diana Tram Nguyen: Fabric Partner Ecosystem Lead for breadth motions Connect on LinkedIn Stephanie Chimeziri Partner Success Community Manager Connect on LinkedIn Michel Faber WW Azure Analytics Partner Strategy Lead Connect on LinkedIn Ashley Asdourian Sr Director, Azure and Industry Partner Marketing Connect on LinkedIn Ask us about the Fabric Partner Opportunity Microsoft AI Cloud Partner Program Certifications Solutions Partner designations Specializations Fabric Partner Community Fabric Partner GTM Resources Fabric Workshops and Bootcamps Fabric Analyst in a Day Fabric Partner Incentives Fabric Featured Partners Join the Fabric Partner Community on Teams to stay in touch by completing the participation form at https://aka.ms/JoinFabricPartnerComunity! We’re all looking forward to seeing each of you in-person in Stockholm later this month! Fabric Partner Team FabricPartnersTeam@microsoft.com Hashtags: #FabConEurope #MicrosoftFabric #MicrosoftPartnerDiscover the Future of Data Engineering with Microsoft Fabric for Technical Students & Entrepreneurs
Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place. This makes it an ideal platform for technical students and entrepreneurial developers looking to streamline their data engineering and analytics workflows.Timespan/duration values in KQL, Power Query and Power BI
In many scenarios event durations are very important. They can be measured in days or in milliseconds and anything in between. In real time analytics it is especially important. In this article I'll describe how such values are treated in KQL and what happens to them when they are brought into Power Query and eventually to Power BI. Finally, I'll provide my recommendation for treating these values in Power BI.
