Azure Data Engineer

Become a skilled Azure Data Engineer and unlock the power of data in the cloud with our comprehensive certification course. In this hands-on training, you’ll learn how to design, implement, and manage data solutions using Microsoft Azure’s advanced tools and services.

Whether you’re a beginner looking to enter the world of data engineering or a professional aiming to enhance your cloud data skills, this course will provide you with the knowledge and practical experience needed to succeed in today’s data-driven business landscape.

Course Highlights:

• 1. Introduction to Azure Data Engineering
• Understand the role of a data engineer in modern organizations.
• Explore the benefits of using Azure for data engineering projects.
• Learn about key Azure services for data storage, processing, and analysis.
• 2. Azure Data Storage Solutions
• Dive into Azure storage options: Azure Blob Storage, Azure Data Lake Storage, and more.
• Explore data partitioning, replication, and security strategies.
• Hands-on experience with storing and managing data in the Azure cloud.
• 3. Azure Data Processing Technologies
• Introduction to Azure Databricks for scalable data processing.
• Implement batch and real-time data processing using Azure Data Factory.
• Hands-on labs on data transformation, orchestration, and scheduling.
• 4. Designing Scalable Data Pipelines
• Learn best practices for designing data pipelines in Azure.
• Implement data ingestion from various sources, including databases and APIs.
• Explore data transformation techniques for cleaning, aggregating, and enriching data.
• 5. Big Data and Analytics with Azure Synapse Analytics
• Understand Azure Synapse Analytics (formerly SQL Data Warehouse) for data warehousing.
• Explore data integration, analytics, and machine learning capabilities.
• Hands-on exercises on managing and optimizing data warehouses.
• 6. Azure Cosmos DB for NoSQL Data
• Introduction to Azure Cosmos DB, a globally distributed NoSQL database service.
• Learn about partitioning, indexing, and scaling strategies.
• Hands-on experience with modelling and querying data in Azure Cosmos DB.
• 7. Data Orchestration and ETL Processes
• Master the art of orchestrating complex data workflows.
• Implement Extract, Transform, Load (ETL) processes using Azure services.
• Real-world scenarios and troubleshooting common ETL challenges.
• 8. Data Security and Compliance
• Explore data security measures, encryption, and access control in Azure.
• Understand compliance standards and regulations relevant to data engineering.
• Hands-on labs on implementing security features for data solutions.
• 9. Monitoring, Troubleshooting, and Optimization
• Learn to monitor data pipelines and identify performance bottlenecks.
• Implement debugging and troubleshooting techniques.
• Strategies for optimizing data processing and storage costs.
• 10. Real-World Projects and Capstone
• Apply your skills to real-world projects simulating actual data engineering scenarios.
• Collaborate with peers and receive feedback from experienced instructors.
• Complete a final capstone project that showcases your expertise.

Prerequisites:

• Basic understanding of databases and data concepts.
• Familiarity with cloud computing concepts (Azure experience is a plus but not mandatory).
• A willingness to learn and engage in hands-on activities.

By the end of this course, you’ll have the expertise to design, build, and manage data solutions in Azure, preparing you for the official Azure Data Engineer certification exam and enabling you to excel in your data engineering career. Enrol now and embark on a journey towards becoming a proficient Azure Data Engineer!