Microsoft Fabric Data Engineering Mastery: DP-700 Unified Analytics
Master the future of unified data. This professional course gets you ready for the DP-700 exam by teaching you the Microsoft Fabric ecosystem. You will learn to ingest, transform, and manage data with Lakehouses, Warehouses, and Real-Time Intelligence. From PySpark notebooks to Data Factory pipelines, this course offers the practical skills needed to create scalable, secure, and AI-ready data architectures.
4.9
By Namifly
Last updated: April 2026
$1300
One-time payment
30-day money-back guarantee
This course includes:
The Fabric Architecture & OneLake Foundations
Ingestion with Data Factory & Dataflows
Lakehouse & Warehouse Implementation
Advanced Transformations with PySpark
Real-Time Intelligence & Eventstreams
Security, Governance & Purview
CI/CD & Deployment Pipelines
Performance Tuning & Monitoring
Choose Your Plan
Training
$999.00
Training + Examination
$1000.00
Complete Assured Package
$1200.00
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Course Description
In 2026, the siloed approach to data engineering is obsolete. The DP-700 Fabric Data Engineer Training at Namifly is meticulously designed to reflect the industry's shift toward Microsoft Fabric—the unified analytics platform that brings together data engineering, data science, and business intelligence into a single "OneLake" environment.
Why DP-700 is the New Standard in 2026
With the retirement of the DP-203 in early 2025, the DP-700 is now the mandatory pathway for Microsoft data professionals. While traditional engineering focused on managing disparate services like Synapse and Data Factory separately, a Fabric Data Engineer manages these as integrated "workloads." This certification validates your ability to reduce data duplication through Shortcuts and Mirroring, ensuring that data is accessible to AI models and BI reports without complex ETL (Extract, Transform, Load) movements.
The Three Mastery Domains (2026 Exam Weights)
Implement and Manage an Analytics Solution (30–35%): Master the administration of Fabric Workspaces and capacities. You will learn to configure deployment pipelines for CI/CD, manage item-level security, and implement Microsoft Purview for governance. This section ensures your environment is secure, compliant, and optimized for enterprise-scale collaboration.
Ingest and Transform Data (30–35%): This is the core engineering domain. You will learn to build robust ingestion pipelines using Data Factory and perform high-performance transformations using Fabric Notebooks (PySpark) and Dataflow Gen2. A major 2026 focus is the Medallion Architecture (Bronze, Silver, Gold), where you refine raw data into analytics-ready Delta tables.
Monitor and Optimize an Analytics Solution (30–35%): Modern data engineering requires proactive maintenance. You will learn to use the Fabric Monitoring Hub to track pipeline health, optimize Spark job performance, and tune SQL Analytics Endpoints for maximum query speed. This domain ensures that your data solutions are not only functional but cost-efficient and reliable.
Advanced 2026 Topics: Real-Time & AI Integration
The 2026 curriculum at Namifly goes beyond batch processing. We cover Real-Time Intelligence, teaching you how to use Eventstreams and KQL (Kusto Query Language) to process streaming data from IoT devices and applications. You will also learn how to prepare "grounded" data for Azure OpenAI and Microsoft Copilot, making you a vital asset to any AI-driven organization.
Course Curriculum
Expand the sections below to see the detailed curriculum for this course.
Understanding the "One Copy" data philosophy and Shortcuts.
Building multi-source pipelines and no-code transformations.
Designing Delta Lake schemas and SQL-based Data Warehousing.
Mastering Fabric Notebooks for complex data engineering tasks.
Processing high-velocity streaming data with KQL.
Row-Level Security (RLS) and Sensitivity Labels.
Integrating with Git and automating the analytics lifecycle.
Optimizing Spark clusters and monitoring capacity usage
Instructor information not available.
4.9
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Frequently Asked Questions
Find answers to common questions about this course.
Yes. In the 2026 ecosystem, the DP-700 is the official successor to the DP-203, specifically tailored for the Microsoft Fabric platform.
While some tasks can be done with "no-code" tools like Dataflow Gen2, a basic understanding of Python (PySpark) and SQL is highly recommended for the advanced transformation sections
The passing score is 700 out of 1000. The exam typically consists of 40–60 questions including multiple-choice and case studies.
Absolutely. Many analytics professionals are moving into data engineering. This course provides the bridge between simple data visualization and complex data architecture.
