Work with Data Warehouses using Azure Synapse Analytics

  • Learning Path
  • 9 Modules
Intermediate
Data Engineer
Synapse Analytics

Explore the tools and techniques that can be used to work with Modern Data Warehouses productively and securely within Azure Synapse Analytics.

Prerequisites

  • It is recommended that students have completed Data Fundamentals before starting this learning path.

Modules in this learning path

Design a Modern Data Warehouse using Azure Synapse Analytics

Learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns.

Analyze data in a relational data warehouse

Relational data warehouses are a core element of most enterprise Business Intelligence (BI) solutions, and are used as the basis for data models, reports, and analysis.

Use data loading best practices in Azure Synapse Analytics

Learn the best practices you need to adopt to load data into a data warehouse in Azure Synapse Analytics.

Optimize data warehouse query performance in Azure Synapse Analytics

Learn the techniques that you can use to optimize query performance within Azure Synapse Analytics.

Integrate SQL and Apache Spark pools in Azure Synapse Analytics

Learn how to integrate SQL and Apache Spark pools in Azure Synapse Analytics.

Understand data warehouse developer features of Azure Synapse Analytics

Learn about the language capabilities that are available to create data warehouses in Azure Synapse Analytics.

Manage and monitor data warehouse activities in Azure Synapse Analytics

Learn how to manage and monitor Azure Synapse Analytics.

Analyze and optimize data warehouse storage in Azure Synapse Analytics

In this module, you'll learn to analyze information used to optimize a data warehouse in Azure Synapse Analytics.

Secure a data warehouse in Azure Synapse Analytics

Learn how to approach and implement security to protect your data with Azure Synapse Analytics.