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.
Microsoft 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 the Microsoft In a Day (XIAD) Partner Events Program and 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, February 14, 2025 | 9:00 AM – 5:00 PM (GMT+01:00) Central European Time Real-Time Intelligence in a Day (RTIAD) Thursday, March 13, 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 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/PartnerEventsConnect to any data with Shortcuts, Mirroring and Data Factory using Microsoft Fabric
Easily access and unify your data for analytics and AI — no matter where it lives. With OneLake in Microsoft Fabric, you can connect to data across multiple clouds, databases, and formats without duplication. Use the OneLake catalog to quickly find and interact with your data, and let Copilot in Fabric help you transform and analyze it effortlessly. Eliminate barriers to working with your data using Shortcuts to virtualize external sources and Mirroring to keep databases and warehouses in sync — all without ETL. For deeper integration, leverage Data Factory’s 180+ connectors to bring in structured, unstructured, and real-time streaming data at scale. Maraki Ketema from the Microsoft Fabric team shows how to combine these methods, ensuring fast, reliable access to quality data for analytics and AI workloads. Access your data instantly. Connect to Azure, AWS, Snowflake & on-prem sources in OneLake without moving a single file. Get started with Microsoft Fabric. Replicate databases with near-zero latency. Fast, reliable analytics. Check out Mirroring in Microsoft Fabric. ETL, data prep & movement at scale. Fabric Data Factory makes it simple & efficient to move data faster. See how it works. Watch our video here. QUICK LINKS: 00:00 — Access data wherever it lives 00:42 — Microsoft Fabric background 01:17 — Manage data with Microsoft Fabric 03:04 — Low latency 03:34 — How Shortcuts work 06:41 — Mirroring 08:10 — Open mirroring 08:40 — Low friction ways to bring data in 09:32 — Data Factory in Microsoft Fabric 10:52 — Build out your data flow 11:49 — Use built-in AI to ask questions of data 12:56 — OneLake catalog 13:36 — Data security & compliance 15:10 — Additional options to bring data in 15:42 — Wrap up Link References Watch our show on Real-Time Intelligence at https://aka.ms/MechanicsRTI Check out Open Mirroring at https://aka.ms/FabricOpenMirroring Unfamiliar with Microsoft Mechanics? As Microsoft’s official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast Keep getting this insider knowledge, join us on social: Follow us on Twitter: https://twitter.com/MSFTMechanics Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics Video Transcript: - If you’ve struggled with accessing data for your analytics and AI workloads, as it’s spread across different clouds or databases and in different formats, today, we will look at the options available to you for connecting and accessing data wherever it lives with the unified data lake, OneLake part of the cloud data analytics and AI platform, Microsoft Fabric. And importantly, we’ll show you how easy it is for your team members to find the data that you brought in with the new OneLake catalog and how you can use Copilot and Fabric as you work to interact with your data wherever it lives from OneLake. And joining me today from the Microsoft Fabric Product team is Maraki Ketema. Welcome to the show. - Thanks for having me. - And thanks so much for joining us today. But before we get into this, why don’t we set a bit of context for anyone who’s new to Microsoft Fabric. So, Microsoft Fabric is a preintegrated optimized SaaS environment, which provides a comprehensive set of data analytics and an AI platform with built-in capabilities for data integration, data engineering, data science, data warehousing, real time intelligence, data visualization and overall data management. Underpinning Fabric is its multi-cloud data lake, OneLake, which gives you a central point for data to be discovered and accessed wherever it resides across your data estate at scale. Now, we’ve covered Microsoft Fabric in a lot of past shows, but today we really want to be able to specifically demystify how it can help you get a better handle on your data. - Well, it helps on a number of levels. You’ve already mentioned scalability and with all of the integrated capabilities for data teams to collaborate on building clean quality data, it can be done at scale for any use case. And OneLake really is the key to getting a handle on your data by making it accessible with support for open formats like Delta Parquet and Iceberg. This helps eliminate traditional barriers to working with your data, and we give you a variety of methods to bring your data into OneLake like Shortcuts where you can virtualize data from where it’s stored, which creates a pointer to any structured open file-based tabular data or unstructured files, even images and multimedia. All this happens without duplicating the data or options for Mirroring where you can create an always up-to-date replica of the source in Fabric. And this is great for databases and data warehouses with proprietary formats where your business critical data may be stored. Now both of these options can be used like any other native data in OneLake and they require no ETL. Then for all of your other sources that require data transformation or read or write capabilities, you can use the hundreds of connectors provided by Data Factory and Microsoft Fabric to make your data natively available in OneLake and to bring streaming data, you’ll use Microsoft Real Time Intelligence. You’ll likely use these techniques to different extents depending on your data and AI needs and whichever method you use to connect data, we make it available with minimal latency. This is super important, for example, for real time or gen AI tasks because they’re less predictable whereas a user or agent interacts on the backend. This can quickly create a series of requests to retrieve data which need to happen fast to ground the AI so that responses aren’t delayed. Fabric takes care of all of this for you at scale and at low latency. - So quality data then become super accessible whenever you need it and wherever it lives. Why don’t we show them a few examples of this? - Sure. So, today I’m going to walk you through an e-commerce system and it’s for a Supermart with a grocery department where we need to quickly understand demand versus supply as well as market competition over prices and get a 360 view of operations and customer experiences. Now, different teams, including marketing, analytics and IT are collaborating together in a single Fabric workspace. Now here the marketing team creates promotions daily and they work with different vendors who are using different systems to store data and there’s no standard file type. The good news is that we can connect to all of these different systems using Shortcuts. Let me show you how that works. Here under Get Data, I can see my option to bring data in. I’ll choose a new shortcut. You’ll see that I have both Microsoft and non-Microsoft locations. In this case, I want to connect to Amazon S3 for unstructured data. From here, if I don’t already have a connected data source, I can create a new connection using credentials for the service. But to save time, I’ll use an existing connection. I’ll choose the second option here. I can explore the data available to me and I can choose the specific folders I want. I’ll pick a few for Kentoso and confirm. Now the data’s in OneLake, and I can expand the folders and look at different data like these markdown files with texts, which contain customer feedback and I have a nice preview of the data to understand what’s in it. Additionally, I have some image data on my local drive that I want to share with others on my team as we’re trying to figure out the best placement for in-store promotions. The good news is that I can also shortcut to all of this data in OneLake directly from my desktop. Let’s take a look. Here I am in Windows File Explorer and I’m connected to OneLake and I can interact with these files and sync them right from here. In fact, here I’m adding an image file from our grocery department, and from the status I can see that it’s already synced. Now if I move back over to Fabric, you’ll see that it’s just synced into my lakehouse view. From here, I can preview the image right away. So now I have the information I need to start analyzing customer sentiment and where we can place point of sale promotions. Again, in both examples, the file data still remains at the source, just like shortcuts on your desktop, the data doesn’t actually live in OneLake, but always stays in sync. Shortcuts in Microsoft Fabric are supported for open storage formats like Microsoft Dataverse, Azure Data Lake Storage, Google Cloud Storage, Databricks, Amazon S3, and any S3 compatible stores and more. And you can also use Shortcuts for on-premise data sources using Fabric on-premise data gateway. - And beyond your file data, your Supermart is probably dependent on operational data that’s sitting in databases and warehouses, all of which might have their own proprietary formats. So what’s the path of least effort then to bring that data in? -So this is where Mirroring in Microsoft Fabric comes into play. It makes it easy to replicate data into OneLake and storage is included as part of your existing Microsoft Fabric capacity. Let’s jump in. Here, you can see my sales dashboard, which is broken down by category, location and even has some forecasting built in. And on the back end, I already have various sources mirrored into my Fabric workspace in OneLake that are feeding into this particular view. -I’m going to use Mirroring and create a new item to connect to Azure SQL DB and bring in data from the Supermarts in the same region. I’ll filter by mirror and then select the Azure SQL Database option. From here, I’ll add my connection details. I’ll type the database name and the rest securely auto completes. After I connect, it takes seconds to show the table in the database. And from there it’s just one more click to create the mirror database and now it’s ready to use in OneLake. Just like Shortcuts, all of this works without ETL or moving the source data. And now if we go back to our Get data page, you’ll notice that most of the Azure databases are directly supported for Mirroring as well as Snowflake. That said, you aren’t limited to using Mirroring for just these sources. You’ll notice that I have two sources here, Salesforce and our legacy on-prem SQL database. These were brought into OneLake using open mirroring. Open mirroring is an API, which lets users and data providers bring data in from any source while keeping them in sync. You can learn more about open mirroring at aka.ms/FabricOpenMirroring. - So Mirroring then has a great potential than in terms of being a frictionless way to bring your data in. But how real time then is the synchronization? - It’s near real time. Once you’ve created the Mirror database and brought your data in, you don’t need to do anything else to keep the data fresh. On the backend Fabric is continuously listening for changes and making updates to the data in OneLake. So I’ll go ahead and refresh my sales dashboard and you can see the updates flow in. Our sales just quadrupled in seconds with this new database. That’s actually because we’ve added a lot more stores with their sales data. - This is really a game changer then in terms of the time to insights and that you have these low friction ways to bring your data in. That said though, there are lots of cases where you might want to transform your data and need to be able to use more data integration work before you bring it in. -Right. And that’s where Data Factory and Microsoft Fabric is a powerful engine that can bring in your data at petabyte scale with everything you need to prep and transform the data to. Let’s take a look. As you begin to create pipelines, to bring your data, you’ll see that we now have more than 180 connectors to the most common data types. And these span both Microsoft and non-Microsoft options. And connecting to one is like we showed before with Shortcuts. If I click on Snowflake, for example, I just need to add connection settings and valid credentials to add the data source to my pipeline. And from here, let me go deeper on the pipeline experience itself. Here is one that I’ve already started. It takes our Supermart data through the bronze and silver layers before landing the curated data in the gold layer. To gain a deeper understanding, we can actually use Copilot to generate a summary of what the pipeline is doing and in seconds, as Copilot explains here, data is loaded before data is curated, and we have schema validation, which picks up on file mismatches and places them in a separate folder after sending an alert. The pipeline provides a visual view of all of these steps. Then if I move over to my notebook, you’ll see that it applies transformations on the data before it’s loaded into our gold layer. -Now, once my data’s in OneLake, I can also start building out my own data flows. Here’s a table that I just pulled in from Excel that looks at grocery transactions over the past quarter. This table is currently super wide, making analysis, very, very difficult. Here’s where the power of Copilot comes in. I don’t need to know the right buttons or terms or words. Sometimes it can just be as simple as describing how I want my tables to look, and I’ll submit this prompt, and almost instantly the table is transformed and more optimized for analysis. While I’m at it, I can also use Copilot to do a simple operation like renaming a column and pay attention to the middle column. The name was just changed. But what if someone inherits the state of flow? Copilot can also provide descriptions of what your query is doing to help save time. It’s described the query and it’s easy to understand for anyone. And here’s the real power of everything we’ve done today. As you can see in our lineage, we now have all our connected data sources from Shortcuts, Mirroring, and now Data Factory. Not only can I now see everything connected in my dashboard, but I can also use natural language with built-in AI to ask questions of my data. -In this case, I want to get ahead of wastage issues in our grocery department. My dashboard doesn’t quite help me here. This is where we can use the built-in AI to ask questions of the data. So I’ll go ahead and prompt it with which products are at risk of spoilage and required discounting. It’ll take a sec, and once that completes, I’ll get a top level view of the products at risk with details about their expiration dates. Under that, I can see the breakdown of its reasoning with a detailed table of each item with quantity per store. And there’s even the raw SQL query, the agent used to derive these insights. - And that was a really powerful example of what you can do once your data is in OneLake. But what if I’m not as close to the data and I want to be able to discover data that I have access to? - OneLake has the one Lake catalog, which is a central place for data users to discover the data they need and manage the data they own. Let’s take a look from the OneLake catalog, I can see everything I have access to. On the left, I can filter the views by my items, items endorsed by others on my team favorites and individual workspaces. At the top, I can also filter by different types of data artifacts, insights, and processes. Let’s take a look at the Ask questions. AI experience I just showed, and here I can see the lineage for how the data’s coming in. That said, with all this ease of data discovery, it’s super important to control and manage access to the data that’s exposed through OneLake. And what’s great is that data compliance controls from Microsoft Purview are built in. I can see the sensitivity labels for any data asset, and from a lineage perspective, these labels are automatically inherited from upstream parent data sources. Permissions are also fully manageable, and if there’s a direct link to this artifact, I’ll be able to see it here. Under the direct access tab, I can see who and which groups have access to this data already. And as a data admin, I can also add users to grant access to specific resources. In fact, I’ll go ahead and add you to this one, Jeremy and I can determine if you’re allowed to share it with others, edit or even view the data itself. - Okay, so now if we move over to my screen, I can see that the Ask Queue item has been shared with me, and it’s available right here. Now to show you the process to discover and request something, I’ll first filter data in my catalog view by semantic models just to narrow the list down a bit and for items that you can see but not access. You’ll see this icon here and there’s a button to request access like with this operations model here. And when I use that, I can add a message for why I’m requesting and send it to the admin for that data to get their approval. - And beyond access management, the integrations with Microsoft Purview for data security and compliance keep getting deeper. Also, there’s another option for bringing data into OneLake that we haven’t demonstrated, and that’s real time streaming data. That’s because there’s an entire show on how to do that using real-time intelligence that you can check out at aka.ms/MechanicsRTI - It’s really great to see all the ways that you can bring quality data into OneLake for analytics to ground your AI workloads. In fact, you can bring data in from OneLake for use with your Gen AI apps and agents using Azure AI Foundry, which we’ll cover more in an upcoming show. So, Maraki what do you recommend for all the people watching right now to learn more? - It’s simple, you can try everything I show today and everything else Fabric has to offer by signing up for a generous 60 day free trial. We don’t even require a credit card to get started. - So now you have lots of options to bring data in and to start working with it. Thanks so much for joining us today, Maraki and thank you for joining us to learn more about all the updates now. If you haven’t yet, be sure to subscribe to Microsoft Mechanics and we’ll see you again soon.Join the Fabric Partner Community for this Week's Fabric Engineering Connection calls!
Are you a Microsoft Partner that 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! 🎉 The Fabric Engineering Connection call, taking place Wednesday, March 5, from 8-9 am PST, and the APAC Fabric Engineering Connection call, taking place Thursday, March 6, from 1-2 am UTC/Wednesday, March 5, from 5-6 pm PST, will feature presentations from Matthew Hicks on Iceberg Virtualization in OneLake; Diana Tram Nguyen and Andrew Boe on SMB Paths to Azure Solutions Partner Designations & AMM and Azure Innovate Access; and Sanaullah Sanai and Rita ABDELLATIFI on Sustainability Data Solutions in Fabric. 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 tomorrow/Thursday!Join the Fabric Partner Community for this Week's Fabric Engineering Connection calls!
Are you a Microsoft partner that 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! 🎉 The Fabric Engineering Connection call, taking place Wednesday, February 26, from 8-9 am PST, and the APAC Fabric Engineering Connection call, taking place Thursday, February 27, from 1-2 am UTC/Wednesday, February 26, from 5-6 pm PST, will feature presentations from Salil Kanade and Venkata Satya Pradeep Srikakolapu on Data Warehouse Developer Experiences and Ted Vilutis on Spark RLS/CLS. 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/Thursday!Join us at the Microsoft Fabric Community Conference in Las Vegas, NV from March 30 - April 2, 2025!
FabCon offers you the chance to learn the latest from Microsoft when it comes to Fabric product features and allows you and your teams to get hands-on with the product through workshops on March 30 and April 3. Throughout FabCon, there will be opportunities for you to connect with Microsoft executives, meet with customers, and connect with peers. On March 30, Microsoft will be hosting the FabCon Partner Pre-Day. This is a special day dedicated to our Microsoft partners and is free for registered FabCon attendees. Our Partner Pre-Day will feature keynotes by Wangui McKelvey and Ashley Asdourian and afternoon breakouts for both systems integrator and software company attendees. We are also offering a 48-hour group discount window exclusively for customers through our partners from Feb 18-19. For questions about available discount codes that you can send directly to your 5 selected customers, please reach out to the fabricpartnersteam@microsoft.com. Register for FabCon and join the FabCon Partner Pre-Day today!Join the Fabric Partner Community for this Week's Fabric Engineering Connection calls!
Are you a Microsoft Partner that 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! 🎉 The Fabric Engineering Connection call, taking place Wednesday, February 12, from 8-9 am PST, will feature Teddy Bercovitz discussing ISV Workloads in Fabric, followed by Idris Motiwala presenting on SQL DB in Fabric. Idris Motiwala will return with his presentation for the APAC Fabric Engineering Connection call, followed by Sanjay Soni presenting on Dream Demos. The APAC Fabric Engineering Connection is taking place Thursday, February 13, from 1-2 am UTC/Wednesday, February 12, 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 at https://lnkd.in/g_PRdfjt. We can't wait to see you Wednesday/Thursday!Join the Fabric Partner Community for this Week's Fabric Engineering Connection calls!
Are you a Microsoft partner that 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! 🎉 The Fabric Engineering Connection call, taking place Wednesday, February 5, from 8-9 am PST, will feature Varun Jain and Dandan Zhang presenting on Workspace Monitoring and Workspace Private Links. Amir Netz will be hosting his very first AMA (Ask Me Anything) session with the APAC Fabric Engineering Connection call, taking place Thursday, January February 6, from 1-2 am UTC/Wednesday, February 5, from 5-6 pm PST. Join the call to personally ask Amir your Fabric related questions! 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://lnkd.in/g_PRdfjt. We can't wait to see you on the call!Data-driven Analytics for Responsible Business Solutions, a Power BI introduction course:
Want to gain inside on how students at Radboud University are introduced, in a praticle manner, to Power BI? Check out our learning process and final project. For a summary of our final solution watch our Video Blog and stick around till the end for some "wise words"!
