Delivery Language: English
Closed Captioning Language(s): English (US), English (UK), Arabic, Czech, Danish, German, Greek, Spanish, Spanish (Latin America), Finnish (Finland), Finnish (Canada), French, Hebrew, Hungarian, Indonesian, Italian, Japanese, Korean, Norwegian, Dutch, Malaysia, Polish, Portuguese (Brazil), Portuguese (Portugal), Romanian, Russian, Swedish, Ukranian, Vietnamese, Chinese, Thai, Turkish, Malay

Join us at Implementing a Data Lakehouse with Microsoft Fabric to learn how to unify your data analytics with the help of AI. Discover how to simplify the extraction of critical insights from your data and use data engineering to streamline the collection, storage, and processing of large volumes of data. You’ll also learn how Fabric uses Azure Synapse Analytics, Azure Data Factory, and Power BI to simplify and modernize your analytics approach for the era of AI.

Who should attend:

• Database administrators
• Data engineers, architects, analysts, and scientists
• Business intelligence analysts and architects

Technical level:

• This is an intermediate-level course. Attendees should be able to credibly discuss, offer perspective, and integrate technology from minimal practical experience.

After completing this training, you will be able to:

• Identify the core workloads in Fabric and learn to deliver insights faster.
• See how to set up a lakehouse as the foundation of your data analytics for data ingestion, transformation, modeling, and visualization.
• Learn how to use Delta Lake tables for more efficient data management, versioning, and reliability.
• Discover how to improve data ingestion and orchestration processes using Dataflow Gen2 and Data Factory pipelines.

Here’s what you can expect:

Space is limited, so reserve your spot now!

Click here for the Microsoft digital event code of conduct.