7:00 오전 - 8:00 오전 (UTC)

Data Factory in Microsoft Fabric is the next-gen Microsoft data integration platform built in the cloud for scale and ease-of-use. This session will catch you up on all of our latest Data Factory innovations and the next set of features that we are planning. What You'll Learn in This Session: What is Data Factory How Data Factory Empower your Data Analysis & AI Latest Innovations & Announcements Upcoming Features You Won't Want to Miss!

7:00 오전 - 8:00 오전 (UTC)

Mirroring in Fabric is a turnkey near real-time replication solution that helps you bring your data estate into Fabric OneLake. Join us to learn more about what's new and its roadmap. There will also be a Q&A section for the team to answer any questions that you might have.

7:00 오전 - 8:00 오전 (UTC)

Learn about the ways that you can upgrade your existing Azure Data Factories to Microsoft Fabric Data Factory as we discuss common customer migration methods and our product roadmap to make the experience of upgrading to Fabric easy.

7:00 오전 - 8:00 오전 (UTC)

Data Factory in Fabric offers one of the richest and diverse connectivity platforms in the industry. With support for over 200 distinct data sources and thousands more through generic connectivity interfaces, with the extensibility of the Data Factory Connector SDK. We also support customer to upgrade to the latest version of the connector to provide a more secure, and more seamless data integration experience. Join us to explore our extensive connector capabilities and learn about the roadmap for connectivity with Data Factory in Microsoft Fabric.

7:00 오전 - 8:00 오전 (UTC)

Data Factory in Fabric is designed to empower you to easily create access to your data and shape it to your needs, whether you choose AI with Copilot, easy no-code interfaces, or even if you prefer developing the code yourself. This session will get you from zero to Data Factory hero, leveraging lots of demos to show you can get started quickly with getting data into Microsoft Fabric for analytics.

7:00 오전 - 8:00 오전 (UTC)

Explore the transformative power of Copilot for Data Factory in this engaging session focused on enhancing productivity through AI-driven capabilities. Learn how to leverage Dataflows and Data Pipelines to streamline your data integration and transformation processes.

7:00 오전 - 8:00 오전 (UTC)

Dataflows Gen2 in Microsoft Fabric Data Factory provide a low-code data transformation feature in Fabric that accelerates your time to production with easy-to-use drag-and-drop transformations. In this session, our product experts will provide deep dive insights into how to take advantage of Dataflows Gen2 in Fabric to make the most successful data analytics projects.

7:00 오전 - 8:00 오전 (UTC)

SAP systems hold some of the most valuable data of many enterprises, large or small. Whether it is operational data in ERP systems like SAP ECC or SAP S/4HANA, data from SAP’s data warehouse suite of products like SAP BW or SAP Datasphere, or data from SAP’s SaaS solutions – a comprehensive view on the state of the business typically involves SAP data to be combined with data from various other sources. This session will show you several different approaches to integrate your SAP data into Microsoft Fabric.

7:00 오전 - 8:00 오전 (UTC)

Mirroring in Fabric is a turnkey near real-time replication solution that helps you bring your data estate into Fabric OneLake. Join us to learn about our latest Oracle offering for database mirroring and Open Mirroring with integration from Oracle GoldenGate.

7:00 오전 - 8:00 오전 (UTC)

Curious about the evolution of connectors from v1 to v2? Experience improved performance, enhanced security, and seamless native source integration of v2 connectors! Discover how you can smoothly migrate from v1 to v2 while ensuring better supportability. Learn more here!

5:00 오전 - 6:00 오전 (UTC)

Join us to explore how you can use Microsoft Fabric to unify your data estate with Microsoft Fabric. In this session, you will get up to speed using a rich set of capabilities in Microsoft Fabric for copying, replicating and virtualizing your data to OneLake. You will learn best practices on working with batch, incremental, real-time data and how you can efficiently and effectively get the data you need to the right place for analytics.