Azure Certified Data Engineer in Microsoft Azure Training Certified Course

The Azure Certified Data Engineer Training is designed to help learners develop the skills required to design, build, manage, and optimize data solutions using Microsoft Azure cloud services. This course covers Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse Analytics, data integration, ETL and ELT pipelines, data transformation, data modeling, and data security. Students will gain hands-on experience in building scalable data pipelines, processing large datasets, implementing data workflows, and monitoring data solutions through practical exercises and real-time projects. This training is suitable for beginners, software developers, data engineers, data analysts, and IT professionals who want to build a career in cloud data engineering and big data technologies.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

CAREER OPPORTUNITIES AFTER Azure Certified Data Engineer in Microsoft Azure Training Certified Course:

• Azure Data Engineer
• Microsoft Azure Data Engineer
• Cloud Data Engineer
• Data Pipeline Developer
• Azure ETL Developer
• Big Data Engineer
• Azure Databricks Engineer
• Data Integration Engineer
• Cloud Analytics Engineer
• Data Warehouse Developer
• Azure Data Platform Engineer
• Data Engineering Consultant

ESSENTIAL SKILLS YOU WILL DEVELOP Azure Certified Data Engineer in Microsoft Azure Training Certified Course:

• Microsoft Azure Data Engineering
• Data Ingestion and Integration
• ETL and ELT Pipeline Development
• Azure Data Factory Pipeline Design
• Azure Databricks and Apache Spark
• Azure Data Lake Storage Administration
• Azure Synapse Analytics
• SQL and Python Programming
• Data Transformation and Cleansing
• Data Modeling and Warehousing
• Data Security and Governance
• Pipeline Monitoring and Optimization

TOOLS COVERED:

• Microsoft Azure
• Azure Data Factory (ADF)
• Azure Databricks
• Apache Spark
• Azure Data Lake Storage Gen2 (ADLS Gen2)
• Azure Synapse Analytics
• Azure SQL Database
• Microsoft Fabric
• Python
• SQL
• Delta Lake
• Azure Monitor
• Azure Key Vault
• Azure DevOps

SYLLABUS:

Module 1: Microsoft Azure Fundamentals

• Cloud Computing and Azure Architecture
• Azure Resource Groups, Subscriptions and Access Management
• Azure Storage and Data Services Overview

Module 2: SQL and Python for Data Engineering

• SQL Queries, Joins and Window Functions
• Python Fundamentals and Data Processing
• Data Structures, Functions and Error Handling

Module 3: Azure Data Storage

• Azure Data Lake Storage Gen2
• Blob Storage, Containers and Access Tiers
• Storage Security, Access Control and Lifecycle Management

Module 4: Azure Data Factory

• Linked Services, Datasets and Pipeline Activities
• Copy Activity and Data Ingestion
• Triggers, Parameters and Pipeline Monitoring

Module 5: Azure Databricks and Apache Spark

• Databricks Workspace, Clusters and Notebooks
• Apache Spark DataFrames and Transformations
• PySpark Data Processing and Optimization

Module 6: Data Transformation and Delta Lake

• ETL and ELT Processing Techniques
• Delta Lake Tables and Data Management
• Incremental Loads and Change Data Capture Concepts

Module 7: Azure Synapse Analytics

• Synapse Workspace and Architecture
• SQL Pools and Data Warehousing
• Data Integration and Analytical Query Processing

Module 8: Data Modeling and Pipeline Design

• Dimensional Modeling and Star Schemas
• Data Pipeline Orchestration
• Batch Processing and Incremental Data Loads

Module 9: Security, Monitoring and Optimization

• Azure Identity and Access Management
• Azure Key Vault and Data Protection
• Pipeline Monitoring, Troubleshooting and Performance Tuning

Module 10: Real-Time Azure Data Engineering Projects

• End-to-End Data Ingestion and Transformation
• Azure Data Lake and Databricks Pipeline Implementation
• Data Warehouse Integration and Reporting

INDUSTRY PROJECTS:

• Azure Data Factory ETL Pipeline
• Azure Data Lake Storage Implementation
• Databricks PySpark Data Transformation
• Delta Lake Data Processing
• Incremental Data Loading Pipeline
• Real-Time Streaming Data Processing
• Azure Synapse Data Warehouse
• Multi-Source Data Integration
• Cloud Data Quality and Validation
• End-to-End Azure Data Engineering Project

WHO IS THIS PROGRAM FOR?:

• Aspiring Data Engineers
• Data Analysts
• ETL Developers
• SQL Developers
• Database Administrators
• Big Data Professionals
• Cloud Engineers
• Python Developers
• Business Intelligence Professionals
• IT Professionals transitioning into Data Engineering

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com