With an increasing focus on using data across the organization, many companies are turning to cloud architectures to deliver the flexibility, speed of delivery and scalability that they need for their Modern Data Platform.

Microsoft Azure is often chosen for BI & Analytics due to the depth and breadth of its offerings in that area – the wide range of capabilities provides endless opportunities to generate innovative insights but sometimes it can be difficult to know where to begin.

By introducing a design pattern for a business intelligence and analytics architecture in Microsoft Azure, we’ll show how a starting-point reference set of tools can simplify the process of identifying which capabilities best serve your business goals. We’ll extend this by looking at real use cases to explore some of the considerations that drive tool selection.

We’ll take a deeper look at the central Azure components in a Modern Data Platform, using real-world examples to understand how each fits into the overall system.

By showing the art of the possible in Azure, we will explore how an end to end Modern Data Platform unlocks your data to encourage innovative analysis and data-driven decisions.

What we’ll cover

• Discuss advantages and considerations when moving your BI & Analytics applications to the cloud
• Introduce key Azure components such as Azure Storage, Data Factory, Azure SQL Database, Azure Synapse Analytics, and Databricks
• Show, using real use cases, how these technologies combine to enable BI & Analytics

Is it for you?

• Do you want to understand how cloud technologies can help improve and extend beyond your existing applications?
• Are you interested in finding out which Azure components will unlock insights in your scenario?
• Are you considering a cloud strategy and want to prioritize which projects will deliver most business value using cloud technologies?