This 3-day intensive training equips you with the skills to leverage the power of Azure for data management and analytics, while introducing the potential of Microsoft Fabric for unified data governance. Whether you're a data professional or IT specialist, this course will empower you to manage, analyze, and extract insights from your data in the cloud.Day 1: Azure Fundamentals & Data Services Introduction

• Module 1: Introduction to Azure Cloud (2 hours)
  • Overview of Azure cloud computing services and core concepts (resource groups, subscriptions, regions)
  • Benefits and pricing models of using Azure
• Module 2: Azure Data Services Landscape (2 hours)
  • Exploring core Azure data services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics)
  • Understanding how these services work together for a complete data platform
• Module 3: Hands-on Lab: Azure Fundamentals (2 hours)
  • Creating an Azure account (free tier available)
  • Deploying basic Azure resources and exploring the management portal

Day 2: Building Your Azure Data Platform

• Module 4: Data Storage on Azure (2 hours)
  • Exploring Azure storage options for structured, semi-structured, and unstructured data (Azure Blob Storage, Azure Data Lake Storage)
  • Hands-on Lab: Creating and managing storage accounts
• Module 5: Data Ingestion and Integration (2 hours)
  • Introducing Azure Data Factory for data movement and orchestration
  • Configuring data pipelines to automate data flow from various sources
  • Hands-on Lab: Building a data pipeline with Azure Data Factory
• Module 6: Introduction to Microsoft Fabric (1 hour)
  • Understanding the concept of Microsoft Fabric and its potential benefits for data governance
  • How Fabric integrates with Azure data services (brief overview)

Day 3: Data Analysis & Advanced Techniques

• Module 7: Unveiling Azure Synapse Analytics (2 hours)
  • Deep dive into Azure Synapse Analytics: a unified platform for data warehousing and analytics
  • Exploring data warehousing concepts and building a sample data warehouse in Azure Synapse
• Module 8: Data Processing and Transformation (2 hours)
  • Utilizing Azure Databricks for large-scale data processing and analytics
  • Introduction to Apache Spark and its integration with Azure Databricks
  • Hands-on Lab: Data wrangling and transformation using Spark in Azure Databricks
• Module 9: Data Security and Next Steps (2 hours)
  • Understanding data security best practices in Azure
  • Implementing data governance policies and access control
  • Exploring advanced Azure data services like Azure Cognitive Services and Azure Databricks Machine Learning
  • Course wrap-up and next steps, including further exploration of Microsoft Fabric for data governance

Note: This is a suggested breakdown. The specific time allocation for each module can be adjusted based on the instructor's teaching style and the complexity of the content. Hands-on labs are integrated throughout the course for practical skill development.Additional Information:

• While this course focuses primarily on Azure data services, the introduction to Microsoft Fabric provides a foundational understanding of its potential role in managing and governing your data across the cloud.
• For a deeper dive into Microsoft Fabric, consider exploring additional resources or dedicated training courses offered by Microsoft.