Unlocking The Data Lake With Azure Synapse SQL Serverless

Overview

Explore and transform massive data in Azure data lakes using SQL Serverless for Synapse. Learn to leverage T-SQL for analytics, BI, and ML at petabyte scale.

Syllabus

• Introduction to Azure Synapse Analytics
Overview of Synapse and its components
Understanding Azure data lakes
Introduction to SQL Serverless
• Setting Up Azure Synapse Environment
Creating a Synapse workspace
Configuring data lake storage
Security and access management
• Basics of T-SQL for Synapse
Introduction to T-SQL syntax
Querying data in Azure data lakes
Exploring metadata and system views
• Working with SQL Serverless
Creating serverless SQL pools
Understanding resource consumption
Best practices for query optimization
• Data Exploration and Transformation
Loading and exploring large datasets
Data transformation techniques
Using external tables and views
• Integration with BI Tools
Connecting Synapse to Power BI
Building interactive dashboards
Analyzing data with visualization techniques
• Machine Learning with SQL Serverless
Integrating ML models in Synapse
Deploying and managing ML pipelines
Analyzing model outputs with SQL
• Advanced Analytics Techniques
Performing distributed data processing
Advanced querying techniques for large datasets
Utilizing functions and stored procedures
• Real-world Use Cases
Case studies on data analytics with Synapse
Examples of petabyte-scale data processing
Lessons learned and best practices
• Course Conclusion and Next Steps
Recap of key concepts
Resources for continued learning
Opportunities for certification and further training

Subjects

Conference Talks