DP-700: Designing and Implementing Microsoft Azure Data Solutions

This advanced-level course by ITingenious is crafted for data professionals looking to design, implement, and monitor data solutions using Microsoft Azure. It prepares learners for data engineering roles where they build scalable and secure data pipelines and architectures.

Course Objectives

• Design and implement data storage solutions using Azure services.
• Build and optimize data processing pipelines using Azure Synapse and Data Factory.
• Implement security and compliance solutions for data platforms.
• Monitor and troubleshoot data systems on Azure.

What You Will Learn

• How to ingest, transform, and load data using Azure Data Factory.
• Real-time analytics with Azure Stream Analytics and Event Hubs.
• Designing partitioning strategies and indexing in Azure SQL and Cosmos DB.
• Implementing RBAC and data masking for secure data access.
• Optimizing performance of data solutions in hybrid environments.

Career Opportunities

• Azure Data Engineer
• Cloud Data Architect
• Big Data Analyst
• Data Integration Specialist
• Data Platform Consultant

Why Learn from ITingenious?

• Hands-on labs with real-world Azure data projects.
• Certified trainers with enterprise data engineering experience.
• Mock tests and one-on-one mentorship for exam success.
• Flexible batch timings with session recordings and notes.
• Career-focused support and project portfolio guidance.