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DP-700 Microsoft Fabric Training | Episode 10: End-to-End Fabric Project & DP-700 Exam Preparation
Welcome to the Final Episode of the DP-700 Microsoft Fabric Certification Series.
In this session, we bring everything together and build a complete end-to-end Microsoft Fabric solution using the concepts learned throughout the series.
This is the closest experience to a real-world Microsoft Fabric implementation and helps learners understand how various Fabric workloads work together in a modern analytics platform.
We will also cover DP-700 exam preparation strategies, important topics, architecture decisions, and frequently tested scenarios.
🔍 What You Will Learn
End-to-End Solution Architecture
✔ Business Problem
✔ Source Systems
✔ Data Ingestion
✔ Data Transformation
✔ Data Storage
✔ Semantic Modeling
✔ Reporting
✔ Governance
Microsoft Fabric Components Used
✔ Dataflow Gen2
✔ Data Pipelines
✔ OneLake
✔ Lakehouse
✔ Spark Notebooks
✔ Warehouse
✔ Direct Lake Semantic Models
✔ Power BI Reports
✔ OneLake Shortcuts
✔ Domains & Workspaces
DP-700 Exam Preparation
✔ Important Topics
✔ Common Exam Scenarios
✔ Architecture Decision Questions
✔ Storage Selection Questions
✔ Real-world Use Cases
✔ Final Revision Checklist
💻 Live Demo
Step 1 – Ingestion
✅ Import data from Excel / CSV
✅ Dataflow Gen2
Step 2 – Storage
✅ Load Data into Lakehouse
✅ Create Delta Tables
Step 3 – Engineering
✅ PySpark Transformations
✅ Data Cleansing
✅ Data Enrichment
Step 4 – Orchestration
✅ Build Data Pipeline
✅ Schedule Refresh
Step 5 – Analytics
✅ Create Semantic Model
✅ Direct Lake
✅ Measures
✅ Relationships
Step 6 – Reporting
✅ Power BI Dashboard
✅ Performance Optimization
Step 7 – Governance
✅ Domains
✅ Workspace Structure
✅ Security Overview
📚 Topics Covered
00:00 Series Overview
05:00 Project Architecture
15:00 Data Ingestion
25:00 Dataflow Gen2
35:00 Lakehouse & Delta Tables
45:00 PySpark Transformations
55:00 Data Pipeline
65:00 Direct Lake Semantic Model
75:00 Power BI Reporting
82:00 DP-700 Revision
87:00 Final Q&A
🎯 Who Should Attend
DP-700 Certification Aspirants
Data Engineers
Analytics Engineers
Fabric Developers
Power BI Developers
Solution Architects
🏆 Complete DP-700 Journey
✅ Episode 1 → Fabric Overview, Domains & Workspaces
✅ Episode 2 → Lakehouse, Warehouse & T-SQL
✅ Episode 3 → Spark SQL
✅ Episode 4 → Dataflow Gen2
✅ Episode 5 → PySpark Notebooks
✅ Episode 6 → Pipelines & OneLake Shortcuts
✅ Episode 7 → Real-Time Analytics & KQL
✅ Episode 8 → Direct Lake Semantic Models
✅ Episode 9 → Mirroring, Databases, Composite Models & Data Agents
✅ Episode 10 → End-to-End Fabric Project & DP-700 Exam Preparation
Видео DP-700 Microsoft Fabric Training | Episode 10: End-to-End Fabric Project & DP-700 Exam Preparation канала Learn Microsoft Fabric, Power BI, SQL Amit Chandak
In this session, we bring everything together and build a complete end-to-end Microsoft Fabric solution using the concepts learned throughout the series.
This is the closest experience to a real-world Microsoft Fabric implementation and helps learners understand how various Fabric workloads work together in a modern analytics platform.
We will also cover DP-700 exam preparation strategies, important topics, architecture decisions, and frequently tested scenarios.
🔍 What You Will Learn
End-to-End Solution Architecture
✔ Business Problem
✔ Source Systems
✔ Data Ingestion
✔ Data Transformation
✔ Data Storage
✔ Semantic Modeling
✔ Reporting
✔ Governance
Microsoft Fabric Components Used
✔ Dataflow Gen2
✔ Data Pipelines
✔ OneLake
✔ Lakehouse
✔ Spark Notebooks
✔ Warehouse
✔ Direct Lake Semantic Models
✔ Power BI Reports
✔ OneLake Shortcuts
✔ Domains & Workspaces
DP-700 Exam Preparation
✔ Important Topics
✔ Common Exam Scenarios
✔ Architecture Decision Questions
✔ Storage Selection Questions
✔ Real-world Use Cases
✔ Final Revision Checklist
💻 Live Demo
Step 1 – Ingestion
✅ Import data from Excel / CSV
✅ Dataflow Gen2
Step 2 – Storage
✅ Load Data into Lakehouse
✅ Create Delta Tables
Step 3 – Engineering
✅ PySpark Transformations
✅ Data Cleansing
✅ Data Enrichment
Step 4 – Orchestration
✅ Build Data Pipeline
✅ Schedule Refresh
Step 5 – Analytics
✅ Create Semantic Model
✅ Direct Lake
✅ Measures
✅ Relationships
Step 6 – Reporting
✅ Power BI Dashboard
✅ Performance Optimization
Step 7 – Governance
✅ Domains
✅ Workspace Structure
✅ Security Overview
📚 Topics Covered
00:00 Series Overview
05:00 Project Architecture
15:00 Data Ingestion
25:00 Dataflow Gen2
35:00 Lakehouse & Delta Tables
45:00 PySpark Transformations
55:00 Data Pipeline
65:00 Direct Lake Semantic Model
75:00 Power BI Reporting
82:00 DP-700 Revision
87:00 Final Q&A
🎯 Who Should Attend
DP-700 Certification Aspirants
Data Engineers
Analytics Engineers
Fabric Developers
Power BI Developers
Solution Architects
🏆 Complete DP-700 Journey
✅ Episode 1 → Fabric Overview, Domains & Workspaces
✅ Episode 2 → Lakehouse, Warehouse & T-SQL
✅ Episode 3 → Spark SQL
✅ Episode 4 → Dataflow Gen2
✅ Episode 5 → PySpark Notebooks
✅ Episode 6 → Pipelines & OneLake Shortcuts
✅ Episode 7 → Real-Time Analytics & KQL
✅ Episode 8 → Direct Lake Semantic Models
✅ Episode 9 → Mirroring, Databases, Composite Models & Data Agents
✅ Episode 10 → End-to-End Fabric Project & DP-700 Exam Preparation
Видео DP-700 Microsoft Fabric Training | Episode 10: End-to-End Fabric Project & DP-700 Exam Preparation канала Learn Microsoft Fabric, Power BI, SQL Amit Chandak
dp700 microsoft fabric microsoft fabric project dp 700 certification microsoft fabric training microsoft fabric tutorial microsoft fabric course microsoft fabric certification data engineering microsoft fabric end to end project dataflow gen2 onelake lakehouse pyspark pipeline direct lake semantic model power bi microsoft fabric architecture microsoft fabric exam preparation
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30 мая 2026 г. 11:53:26
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