Azure Synapse Analytics for data engineers

Learn how to create rich ETL pipelines and analyze data in the language of your choice at scale using both serverless and dedicated resources—all within a single, unified experience.

Take the 30-day Azure Synapse skills challenge

Discover a limitless data analytics experience

Bring data integration, enterprise data warehousing, and big data analytics together with Azure Synapse.

Streamline pipeline development

Easily construct ETL and ELT processes code-free in an intuitive environment or write your own code with more than 95 native connectors.
Orchestrate data integration

Facilitate seamless collaboration through integrated Apache Spark and SQL engines all while using your preferred language such as T-SQL, Python, Spark, .NET.
Simplify security and management

Automate protection of sensitive data in real time with column-level and row-level security and dynamic data masking.

See how data engineers are innovating with Azure Synapse

See how data engineers are building modern data solutions at scale using Azure Synapse.

Sharing anonymized data

Learn how Greg, an enterprise data architect at Southern Company, uses Azure Synapse to share anonymized data with analytics partners and deliver in-house analytics.

Predictive maintenance

See how Henko, a data analytics architect at Macaw, is using predictive analytics to help a water utility company detect water supply issues—before they become a problem.

Data governance

See how Adhi, a data solution architect at Grab, uses data masking and row-level security to empower analysts to access and analyze data—regardless of their skill level.

Build your data analytics skills

Learn the basics of Azure Synapse Analytics and see how to get started with 30 days of videos, tutorials, and training modules. After completing this learning path, you'll be prepared for the Azure Data Engineering certification.

Take the 30-day Azure Synapse skills challenge