Mastering Azure Synapse Analytics Online Course
Mastering Azure Synapse Analytics Online Course
Mastering Azure Synapse Analytics course starts with an introduction to Azure Synapse Analytics (formerly Azure SQL Data Warehouse) and explores the differences between traditional, modern, and Synapse data warehouse architectures. You’ll discover why Microsoft Synapse is transforming the data analytics landscape, and learn how to set up, customize, and scale the service. The course covers key concepts like cloud data warehouse MPP architecture, partitioning, distribution keys, and table types. You will also gain practical experience with data migration, PolyBase advantages, security, backups, monitoring, and more through hands-on demos. By the end, you’ll be equipped to effectively use Azure Synapse Analytics in a production environment.
Key Benefits
- Gain in-depth knowledge of security practices, configuration management, backup strategies, monitoring techniques, and other critical topics essential for Azure Synapse Analytics.
- Master various data migration techniques and understand the advantages of using PolyBase over alternative methods.
- Enhance your learning experience through hands-on demos and real-world assignments, ensuring practical application of the concepts covered.
Target Audience
This course is designed for individuals who are new to the Azure platform, including SQL developers, BI developers, database administrators (DBAs), and anyone interested in cloud-based warehousing and data engineering. A foundational understanding of databases and SQL is required, along with access to a free Azure subscription for hands-on practice.
Learning Objectives
- Gain an introduction to Microsoft Synapse Analytics Service and its core features.
- Understand the differences between traditional, modern, and Synapse data warehouse architectures.
- Learn key concepts such as MPP (Massively Parallel Processing), partitioning, sharding patterns, and distribution keys.
- Explore PolyBase technology, data migration techniques, and security best practices.
- Master configuration options, backup strategies, pricing models, and monitoring techniques for optimal performance.
- Grasp the fundamentals of Microsoft SQL Data Warehouse and its integration with Synapse Analytics.
Course Outline
The Mastering Azure Synapse Analytics Exam covers the following topics -
Domain 1 - Course Introduction
- Why Enroll in This Course?
- Course Overview
Domain 2 - Azure Synapse Analytics
- Introduction to Synapse Analytics
- Why Cloud-Based Data Warehousing
- Comparing Traditional vs. Modern Data Warehouse Architecture
- Overview of Synapse Analytics Service
- Demo: Creating a Dedicated SQL Pool
- Demo: Connecting Dedicated SQL Pool with SSMS
- Demo: Setting Up Azure Synapse Analytics Studio Workspace
- Demo: Exploring Synapse Studio V2
- Demo: Creating Dedicated SQL Pool and Spark Pool
- Demo: Analyzing Data with Dedicated SQL Pool
Domain 3 - Data Warehouse Internals and Architecture
- Introduction
- Overview of Azure Synapse MPP Architecture
- Storage and Sharding Strategies
- Data Distribution and Distributing Keys
- Data Types and Table Structures
- Partitioning Best Practices
- Optimal Practices for Fact and Dimension Tables
- Demo: Analyzing Data Distribution Pre-Migration to Azure Synapse
Domain 4 - Data Migration
- Introduction
- Top 5 Best Practices for Data Loading
- Exploring Different Loading Methods
- Loading with SSIS vs. PolyBase
- Demo: Data Loading with SSIS
- Demo: Data Loading with PolyBase
- Demo: Data Loading with Data Factory
- Summary
- Assignment - Lab Request
- Assignment - Lab Solution
Domain 5 - Security Layers
- Introduction to Advanced Data Security
- Auditing and Compliance
- Network Security Measures
- Transparent Data Encryption
- Dynamic Data Masking
- Access Management
Domain 6 - Configuration and Optimization
- Introduction to Configuration Options
- Performing Common Tasks
- Backup and Restore Procedures
- Price Optimization Techniques
- Monitoring Best Practices
- Support and Troubleshooting Techniques
- Managing Workloads Efficiently
- Deleting Resources
Domain 7 - Data Warehouse Crash Course
- Introduction to Data Warehousing
- The Importance of Data Warehousing
- Characteristics of an Ideal Data Warehouse Solution
- Role of the Data Warehouse Designer
- SQL Server (OLTP) vs. Data Warehousing (OLAP)
- Dimensional Modeling Concepts
- Understanding Fact and Fact Tables
- Understanding Dimensions and Dimension Tables
- Star Schema vs. Snowflake Schema
