If you are a data enthusiast who wants to learn more about Data Factory in Microsoft Fabric, you won’t want to miss our upcoming Ask Me Anything (AMA) session. This is a unique opportunity for you to connect with the experts who are behind the scenes of the data integration platform that powers the era of AI. You will be able to ask your burning questions and get live answers from the product engineering team.
Microsoft Fabric is a unified data platform designed to simplify data management and analytics for businesses. It combines various data services and tools into a single, cohesive ecosystem, allowing organizations to manage, analyze, and derive insights from their data more efficiently. Data factory in Microsoft fabric allows users to create, orchestrate, and manage data pipelines across various sources and destinations. Data factory enables users to integrate data from different locations, such as on-premises, cloud, or hybrid environments, and transform it using built-in or custom activities. Data Factory supports data movement and processing at scale, with features such as parallel execution, scheduling, monitoring, and security. With so many impactful features, it鈥檚 important to learn how best to utilize them for your organization.
But how can you make sure that you get the most value out of this AMA session? How can you prepare your questions and follow up on the insights you gain? Here are some tips to help you prepare for your Data Factory AMA experience.
Microsoft Fabric AMA Livestream – Data IntegrationExpert-led Q&A session on all things Data Factory in Microsoft Fabric!
Register hereBefore the AMA session Review the AMA session details and agenda. The AMA session will take place on Teams on September 12, 2024, from 9:00 to 10:00 AM PST. You can register for the session using this link: Microsoft Fabric AMA Livestream鈥擠ata Integration. The agenda will include a brief introduction of the panelists, a live Q&A session, and a summary of the key takeaways.聽Do some background research on Data Factory in Microsoft Fabric. Data Factory provides a cutting-edge data integration experience, allowing you to ingest, prepare, and transform data from a wide array of sources, including databases, data warehouses, lakehouse, and real-time data streams. Whether you’re a citizen developer or a professional, you can use intelligent transformations and a comprehensive set of activities to effectively transform your data. Data Factory’s capabilities will prepare you for the AI era. You can learn more about Data Factory in Fabric by visiting this website: Data Factory in Microsoft Fabric.Prepare your questions in advance. Think about what you want to learn from the AMA session and what challenges you face with data integration. The panelists will try to answer as many questions as possible during the session.During the AMA session You can use the chat feature to interact with the panelists and other attendees, but please keep the conversation relevant and respectful. When asking your questions, try to be concise and clear. Avoid asking multiple questions in one sentence or using jargon or acronyms that may not be familiar to everyone. If you have a follow-up question, wait for the panelist to finish their answer before asking it. Be open-minded and curious. The AMA session is a great opportunity to learn from the experts and from your peers. You may hear different perspectives and opinions on data integration and Data Factory in Fabric. Be open-minded and curious about the insights and experiences that the panelists and other attendees share. You may discover new ways of thinking and solving problems that you haven’t considered before. After the AMA session Review the AMA session recording. If you missed any part of the AMA session or want to revisit some of the answers, you can watch the recording here: Microsoft Fabric AMA Livestream鈥擠ata Integration.Share your feedback and suggestions. We value your feedback and suggestions on how to improve our AMA sessions and our products. You can share your thoughts and ideas by filling out this survey: [TBD]. You can also join our community forum and connect with other data enthusiasts and experts. You can find the forum here: [TBD]. Apply what you learned and keep learning. The AMA session is not the end of your learning journey, but the beginning. You can apply what you learned from the session to your own data integration projects and challenges. You can also keep learning more about Data Factory in Fabric by exploring the documentation, tutorials, samples, and blogs that are available on this website: Data Analytics | Microsoft Fabric. Register for the Data Factory AMA session todayWe hope that these tips will help you get the most out of your time with the product engineering team. We鈥檙e here to answer all your questions to help you apply these capabilities to your specific use cases. We look forward to seeing you on September 12, 2024, and hearing your questions and feedback. Don’t forget to register for the session and submit your questions using the links above. See you soon!
ResourcesData Factory in Microsoft Fabric Data Factory Overview Getting Started with Microsoft Fabric What’s new and planned for Data Factory in Microsoft Fabric European Microsoft Fabric ConferenceFAQ
Swetha MannepalliSenior Product Marketing Manager, MicrosoftSwetha Mannepalli is a Senior Product Marketing Manager for the Microsoft analytics business, which includes technologies like Microsoft Fabric. Swetha is primarily focused on data integration and data warehouse workloads within Microsoft Fabric, along with other products like Azure Data Factory, Azure Synapse Analytics, and Azure HDInsight. Prior to moving into her current role, Swetha worked as a Senior Cloud Solution Architect helping Microsoft customers in the education industry. Before joining Microsoft in 2020, Swetha worked in various data professional roles as an implementer, data practitioner, and data architect. Swetha received her Master's degree from Texas A&M University, majoring in computer science, and she's currently engaged in the LEAD program from the Stanford Graduate School of Business.See more articles from this authorComments are closed for this post.