The DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric course is designed to empower data professionals with the skills needed to design, build, and manage data engineering solutions in the modern data ecosystem. Focused on practical implementation, the course covers essential areas such as data integration, transformation, storage, and analytics using Microsoft Fabric.

Learners will gain hands-on experience in orchestrating data workflows, ensuring data quality, and applying best practices in data governance and optimization. By the end of the course, participants will be equipped to solve real-world challenges using robust, scalable data engineering solutions.

The course covers key areas such as:

• Data Engineering Fundamentals: Understand the foundational principles of data engineering and how they apply within Microsoft Fabric.
• Data Ingestion and Transformation: Design and implement ETL/ELT pipelines using Fabric’s built-in tools and services.
• Data Storage Architecture: Learn to build and manage scalable, efficient storage solutions tailored for different workloads.
• Data Analytics Integration: Utilize Microsoft Fabric’s analytics features to extract insights and enable data-driven decision-making.
• Governance and Compliance: Implement security, privacy, and compliance measures within data solutions.
• Pipeline Optimization: Discover techniques to enhance pipeline performance and ensure reliability.
• Multi-source Integration: Connect and consolidate data from various systems into a unified analytics platform.
• Monitoring and Troubleshooting: Manage and troubleshoot data workflows for smooth operations.
• Collaborative Development: Leverage tools that facilitate team-based development and project execution.
• Data Modeling Best Practices: Apply effective modeling techniques to support reporting and analytical requirements.

Course Prerequisites

To make the most of this course, participants should have:

• A basic understanding of data concepts and SQL
• Familiarity with cloud computing principles, particularly within the Microsoft ecosystem
• Some experience with data platforms or analytics tools
• A willingness to explore hands-on labs and real-world data scenarios

Target Audience

This course is ideal for professionals involved in building, maintaining, or scaling data engineering workflows, including:

• Data Engineers
• Data Architects
• Business Intelligence Developers
• Data Analysts
• Cloud Solutions Architects
• IT Professionals transitioning to data roles
• Technical Project Managers
• Database Administrators
• Analytics Consultants
• Software Developers (with data integration focus)
• Students pursuing a career in data engineering

Why Choose us

⭢ Live Online Training (Duration : 32 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the DP-700 course, learners will be able to:

• Understand the principles of data engineering and architecture
• Design data ingestion and transformation pipelines using Microsoft Fabric
• Implement storage solutions optimized for different data workloads
• Utilize analytics tools within Microsoft Fabric for insights and reporting
• Ensure governance, security, and compliance of data solutions
• Optimize data pipelines for speed and reliability
• Integrate data from diverse sources efficiently
• Monitor and troubleshoot data workflows effectively
• Collaborate on data projects in a team-based environment
• Apply best practices in data modeling for enterprise-scale solutions