Description

Introduction
This training provides a strong foundation in implementing end-to-end data solutions on Microsoft Azure. It covers data storage, processing, integration, security, and monitoring using key Azure services such as Azure SQL, Cosmos DB, Data Factory, Databricks, Synapse, and Azure Storage. Learners gain practical skills to design, build, and maintain scalable, secure, and optimized cloud data solutions aligned with enterprise requirements.

Prerequisites
Basic understanding of databases and SQL
Familiarity with data concepts (ETL, data models, analytics)
Basic knowledge of Azure fundamentals is helpful
Experience with any scripting language (Python preferred)

Table of Contents
1. Overview of Azure Data Solutions
1.1 Understanding Data Architectures
1.2 Azure Data Services Landscape
1.3 Batch vs. Streaming Workloads
1.4 Choosing the Right Data Store
2. Azure Storage & Data Lake Implementation
2.1 Storage Accounts & Data Lake Gen2
2.2 Access Tiers & Performance Optimization
2.3 Upload, Manage & Secure Data
2.4 Integration with Other Azure Services
3. Relational Data Storage Solutions
3.1 Azure SQL Database & Managed Instances
3.2 Elastic Pools & Scaling Techniques
3.3 Backup, Restore & High Availability
3.4 Performance Monitoring & Query Optimization
4. NoSQL Solutions with Azure Cosmos DB
4.1 Multi-Model Database Concepts
4.2 Partitioning & Consistency Models
4.3 CRUD Operations & SDK Usage
4.4 Indexing & RU Optimization
5. Data Integration with Azure Data Factory
5.1 Linked Services, Pipelines & Datasets
5.2 Copy Activity, Data Flows & Mapping
5.3 Triggering & Scheduling Pipelines
5.4 Monitoring, Logging & Error Handling
6. Data Processing with Azure Databricks
6.1 Apache Spark Fundamentals
6.2 Delta Lake & DataFrame Operations
6.3 ETL & ELT Workflows
6.4 Performance Tuning & Cluster Management
7. Implementing Enterprise Data Warehousing
7.1 Synapse Dedicated SQL Pools
7.2 Serverless SQL Overview
7.3 Data Modeling & Table Distribution
7.4 Query Acceleration Techniques
8. Real-Time Data Processing
8.1 Event Hub & Event Grid Basics
8.2 Stream Analytics Job Design
8.3 Real-Time ETL Use Cases
8.4 Integration with Dashboards & Apps
9. Security, Governance & Compliance
9.1 Access Control & Identity Management
9.2 Data Encryption & Key Vault
9.3 Network Security & Private Endpoints
9.4 Auditing, Governance & Policy Management

This training enables learners to confidently implement and manage Azure-based data solutions using best practices for performance, security, and scalability. By mastering data storage, processing, integration, and governance, participants gain the essential skills required to build reliable, enterprise-grade cloud data architectures.