Introducing Azure Synapse Analytics - The End-to-End Analytics Platform

Overview

Explore Azure Synapse Analytics, a comprehensive platform integrating relational and big data systems for efficient data ingestion, preparation, modeling, and serving in a unified workspace.

Syllabus

• Introduction to Azure Synapse Analytics
Overview of Azure Synapse
Key features and capabilities
The unified analytics workspace concept
• Setting Up and Configuring Azure Synapse
Creating a Synapse workspace
Configuring security and networking
Understanding resource management
• Data Ingestion in Azure Synapse
Data ingestion techniques
Using Azure Data Factory within Synapse
Real-time data ingestion with Azure Stream Analytics
• Data Preparation and Transformation
Data wrangling with Synapse Studio
Transforming data using Synapse pipelines
Integrating Databricks for advanced data preparation
• Relational and Big Data Integration
Understanding Synapse SQL capabilities
Integrating with Azure Data Lake Storage
Using PolyBase for SQL on Hadoop
• Data Modeling in Synapse
Designing star and snowflake schemas
Best practices for data modeling
Working with Synapse and Power BI
• Data Serving and Visualization
Serving data for analytics
Integrating with Power BI for dashboards
Building and deploying machine learning models
• Performance Optimization and Monitoring
Query optimization techniques
Managing costs and resources effectively
Monitoring Synapse with Azure Monitor
• Security and Compliance
Understanding security controls
Managing user roles and permissions
Compliance best practices in Synapse
• Case Studies and Real-world Applications
End-to-end analytics solutions
Industry use cases and scenarios
Final project: Building a complete analytics solution with Synapse
• Course Review and Next Steps
Review of key concepts
Resources for further learning
Certification and career pathways in analytics with Azure

Subjects

Conference Talks