The Audience should have familiarity with notebooks that use different languages and a Spark engine, such as Databricks, Jupyter Notebooks, Zeppelin notebooks and more. They should also have some experience with SQL, Python, and Azure tools, such as Data Factory.

Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.

Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.

In this learning path, you'll learn how Azure Cosmos DB uses partitioning to scale containers and how spending some time thinking about your data model helps to meet the performance needs of your applications.

Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.

Stream processing enables you to capture and analyze data in real-time. Azure Stream Analytics is a cloud-based stream processing engine that you can use to build highly scalable real-time analytics solutions.

Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.

In this module, you'll learn to deploy Azure File Sync, migrate from DFS, and use Storage Migration Services to migrate file servers to Azure.

This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.

Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.

Identify an application's key access patterns. Define the entities' data model, along with containers to store the data with a partition key that will result in an efficient and scalable data store for the application.

Implement SQL Server-based options for authentication and authorization, as well as Azure options for securing Azure SQL databases. Explore encryption, firewalls and advanced threat protection.