Workspace Design in Fabric: Essential Insights and Best Practices

As organizations look to implement Fabric, a common question arises: how to best design the workspaces?
Few factors must be considered to ensure the creation of effective and efficient workspaces. This session will explore the critical topics that need to be addressed for designing robust workspaces in Fabric.

Attendees will gain insights into the following areas:
• Governance: Establishing a framework to ensure that workspace design aligns with organizational policies and regulatory requirements.
• Continuous Integration/Continuous Deployment (CI/CD): Leveraging CI/CD pipelines to streamline development workflows and ensure seamless updates and deployments.
• Access Control: Implementing mechanisms to manage user permissions and ensure that only authorized personnel have access to specific areas within the workspaces.
• Capacity Management: Planning and managing resource allocation to optimize performance and accommodate future growth.
• Domains & Subdomains: Organizing workspaces into logical domains and subdomains to enhance manageability and collaboration.

Join us to explore these essential considerations and learn best practices for designing workspaces that meet your organization’s needs and objectives.

Revolutionizing Analytics with Azure Databricks and Microsoft Fabric

In this session, we'll learn how Azure Databricks and Microsoft Fabric work together to enhance your data capabilities. Many organizations already rely on Azure Databricks for their data needs, and with Fabric, they can leverage and explore that data more effectively.

Specifically, we'll go over end to end scenarios that show how to:

• Access Azure Databricks Delta Tables in Fabric: With this feature, you can easily create shortcuts to access the data and analyze it in Power BI via DirectLake while following the medallion architecture using Azure Databricks.

• Access OneLake data in Azure Databricks: This smooth process lets you access Fabric tables in Azure Databricks that can be readily read and modified via Azure Databricks. This can also enable the medallion architecture in OneLake and transformation using Azure Databricks.

• Execute Azure Databricks notebooks from Fabric pipelines: Similar to ADF & Synapse, you can run Azure Databricks notebooks from Fabric pipeline.

• Use Dataflow Gen2 to ingest data from Azure Databricks: With this method, you can ingest and prepare data managed by Azure Databricks.

Join us to dive deeper and discover more about these amazing possibilities between Azure Databricks and Microsoft Fabric!

From Data to Insights: Microsoft Fabric with Azure Databricks

In this session, we'll explore the powerful combination of Azure Databricks and Microsoft Fabric. Many organizations are already using Azure Databricks for their analytics needs, and with Fabric, they can access and analyze that data even more efficiently.

We will explore how you can implement medallion architecture using Azure Databricks & different experiences in Microsoft Fabric and things to consider.

Specifically, we'll cover how to:
• Build reporting layer in Fabric: You can quickly create shortcuts to read the data and analyze it in Power BI via DirectLake with improved performance. Once you have your data available in OneLake, you can easily build insightful dashboards that help you make better business decisions.
• Build lakehouse on OneLake: This seamless process lets you create Delta tables on OneLake from Azure Databricks.
• Orchestrate Databricks notebooks from Fabric: Just like in ADF & Synapse, you can execute Azure Databricks notebooks from Fabric pipeline.

Join us to learn more about this exciting integration between Azure Databricks and Microsoft Fabric!

Weaving a Data Mesh with Microsoft Fabric

In today's world, organizations are grappling with the challenge of managing a vast amount of data. To address this challenge, they are transitioning from traditional IT-centric data architectures to more federated models that are organized according to business needs. This new federated data architecture is called data mesh, which is a decentralized approach that organizes data by specific business domains. For instance, marketing, sales, and human resources are some of the domains that data can be organized into.

You will learn how Microsoft Fabric's data mesh architecture primarily supports organizing data into domains and enabling data consumers to filter and find content by domain. It also enables federated governance, which allows some governance that is currently controlled at the tenant level to be delegated to domain-level control. This enables each business unit/department to define its own rules and restrictions according to its specific business needs.

Microsoft Engineer from the FastTrack for Azure team will deliver this session based on the experiences of working with customers since the private preview.
It will be updated with the latest information on Microsoft Fabric at the time of the event.

Unveiling the Power of Microsoft Fabric: A Journey through Seamless Analytics

This presentation will use the expertise of the Fast track engineers and Industry Solutions Software Engineers from Microsoft to discuss end-to-end solutions on how Microsoft Fabric innovates your Analytics solution.

Fabric - End to end scenario

Onelake, workspace, delta format, shortcuts, lakehouse, and warehouse, and then spark, T-SQL, or data flow, or pipeline. Then Semantic model and PowerBI. In this demo-based session, we will delve into the details of creating an analytical solution with MS Fabric, leveraging some of its (several) features.

Boosting Efficiency with Copilot in Microsoft Fabric

Copilot, the innovative feature in Microsoft Fabric, has revolutionized the way developers write code. But did you know that Copilot can also be used to streamline data analysis in Power BI?
In this presentation, we will explore the benefits of using Copilot in both development and data analysis, including its ability to suggest code snippets and generate complex DAX queries and calculations based on context and previous coding patterns.
We will discuss how Copilot can help developers and data analysts reduce errors, improve code and data quality, and ultimately result in faster development cycles and more accurate insights.
By the end of this presentation, you will have an understanding of how Copilot can help you and your team boost efficiency in both development and data analysis, and take your work to the next level.

Supercharge Your Data Analysis with Azure Databricks and Microsoft Fabric Integration

In this session, we'll explore the powerful combination of Azure Databricks and Microsoft Fabric. Many organizations are already using Azure Databricks for their data needs, and with Fabric, they can access and analyze that data even more efficiently. Specifically, we'll cover how to:

- Access Azure Databricks Delta Tables in Fabric: With this, you can quickly create shortcuts to read the data and analyze it in Power BI via DirectLake.
- Analyse OneLake data in Azure Databricks: This seamless process lets you access Fabric Delta tables in Azure Databricks that can be easily read and modified via Azure Databricks.
- Execute Azure Databricks notebooks from Fabric pipelines: Just like in ADF & Synapse, you can execute Azure Databricks notebooks from Fabric pipeline.
- Use Dataflow Gen2 to ingest data from Azure Databricks: With this approach, you can ingest and prepare data managed by Azure Databricks.

Once you have your data or shortcut in OneLake, you can easily build insightful dashboards that help you make better business decisions. Join us to learn more about this exciting integration between Azure Databricks and Microsoft Fabric!