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Dur: 60 days
Course fee : 16000 /-

Microsoft Fabric Data Engineer Training(DP-700)

Course Overview

Microsoft Fabric Data Engineer Training at Naresh IT is designed to help learners master modern data engineering skills using Microsoft’s unified analytics platform. This industry-focused program covers data integration, transformation, orchestration, real-time analytics, and lakehouse architecture using Microsoft Fabric. Through hands-on projects and real-time use cases, learners gain practical exposure to building scalable data pipelines and managing enterprise data solutions. Our Microsoft Fabric Data Engineer Associate Training prepares you to work confidently with OneLake, Data Factory, Synapse, and Power BI within Fabric. Whether you aim to become a certified professional or secure high-paying data engineering roles, this course equips you with job-ready skills aligned with current industry standards and Microsoft certification objectives.

Description

Naresh IT’s Microsoft Fabric Data Engineer Training is a comprehensive program crafted to meet the growing demand for skilled data engineers in cloud and analytics environments. Microsoft Fabric unifies data engineering, data science, real-time analytics, and business intelligence into a single SaaS platform. This course provides in-depth knowledge of designing data solutions, building ETL/ELT pipelines, implementing lakehouse architectures, and optimizing performance using Fabric tools.

During this Microsoft Fabric Data Engineer Associate Training, students work on real-time industry scenarios, learning how to ingest, transform, store, and analyze large-scale data efficiently. The curriculum covers Data Factory pipelines, Spark workloads, Delta tables, data modeling, security implementation, and integration with Power BI.

With expert trainers, practical assignments, and interview-focused preparation, Naresh IT ensures learners gain both conceptual clarity and hands-on expertise to succeed as Microsoft Fabric Data Engineers in top organizations.

Course Objectives

The primary objective of the Microsoft Fabric Data Engineer Training at Naresh IT is to build strong expertise in designing and managing enterprise-grade data solutions using Microsoft Fabric. This course aims to:

  • Provide in-depth understanding of Microsoft Fabric architecture and components

  • Enable learners to design scalable lakehouse solutions using OneLake

  • Teach data ingestion and transformation techniques using Data Factory and Spark

  • Build skills in managing Delta tables and structured data environments

  • Develop expertise in real-time analytics and data orchestration

  • Implement data security, governance, and performance optimization strategies

  • Integrate Microsoft Fabric with Power BI  for business intelligence reporting

  • Prepare candidates for Microsoft Fabric Data Engineer Associate Training certification

By the end of the program, learners will confidently design end-to-end data pipelines, handle big data workloads, and deploy efficient analytics solutions. The course also focuses on real-world problem-solving, resume building, mock interviews, and practical exposure to ensure job readiness in competitive data engineering roles.

Prerequisites
  • To enroll in Microsoft Fabric Data Engineer Training, candidates should have a basic understanding of databases, SQL, and data concepts. Familiarity with cloud platforms such as Microsoft Azure is beneficial but not mandatory. Knowledge of data warehousing concepts, ETL processes, and basic programming (Python or similar) will help learners grasp advanced topics more effectively.

    Professionals with experience in Power BI, Azure Data Factory, or analytics tools can quickly adapt to Microsoft Fabric’s unified environment. However, even beginners with a strong interest in data engineering can join this course, as Naresh IT provides foundational explanations before progressing to advanced modules.

    A willingness to work on hands-on projects and real-time case studies is essential for gaining maximum benefit from the Microsoft Fabric Data Engineer Associate Training program.

Course Curriculum

  • 1: Data Engineering Fundamentals
    • Overview of Data Engineering Concepts
    • Data Ingestion, Processing, Storage & Analytics
    • Modern Data Architecture
  • 2: Introduction to Microsoft Fabric
    • Overview of the Microsoft Fabric Platform
    • Fabric Workloads & Experiences
    • Understanding OneLake Architecture
  • 3: Data Engineering Tools Comparison
    • Microsoft Fabric vs Azure Data Factory
    • Microsoft Fabric vs Databricks
    • Use Cases of Fabric in Modern Data Platforms

  • 1: Azure Storage Fundamentals
    • Creating Azure Free Trial Account
    • Azure Storage Accounts Overview
    • Storage Tiers & Performance
  • 2: Blob Storage & Data Lake
    • Working with Azure Blob Storage
    • Understanding ADLS Gen2
    • Types of Blob Storage (Block, Append, Page)
  • 3: Data Ingestion
    • Structured vs Semi-Structured vs Unstructured Data
    • Uploading and Managing Data in Cloud Storage
    • Data Access and Security

  • 1: Fabric Workspace Management
    • Creating Fabric Workspace
    • Workspace Roles & Permissions
    • Fabric Capacity & Licensing
    • OneLake File Explorer
    • Integrating ADLS Gen2 with Fabric
    • Managing Data in Lakehouse
  • 2: OneLake Data Management
    • OneLake File Explorer
    • Integrating ADLS Gen2 with Fabric
    • Managing Data in Lakehouse
  • 3: Fabric Studio Environment
    • Exploring Fabric Studio Interface
    • Creating and Managing Fabric Items
    • Organizing Data Projects in Workspaces

  • 1: Python Fundamentals
    • Variables and Data Types
    • Operators and Expressions
    • Input and Output Handling
  • 2: Control Flow & Functions
    • Conditional Statements
    • Loops (for, while)
    • Python Functions and Lambda Expressions
  • 3: Data Structures in Python
    • Lists, Tuples, Dictionaries
    • Iteration and Data Handling
    • Python for Data Processing

  • 1: Apache Spark Fundamentals
    • Introduction to Apache Spark
    • Spark Architecture
    • Distributed Data Processing
  • 2: PySpark in Fabric
    • Working with PySpark Notebooks
    • DataFrames and Transformations
    • Writing PySpark Scripts for Data Processing
  • 3: SparkSQL for Analytics
    • Writing SparkSQL Queries
    • Data Aggregation and Filtering
    • Data Transformation with SparkSQL

  • 1: Delta Lake Fundamentals
    • Introduction to Delta Lake
    • Benefits of Delta Lake in Data Engineering
  • 2: Delta Tables
    • Managed vs External Tables
    • Creating and Managing Delta Tables
    • Performing DML Operations
  • 3: Optimization & Streaming
    • Optimize and Vacuum Commands
    • Spark Structured Streaming
    • Real-Time Data Processing

  • 1: Dataflow Gen2
    • Introduction to Dataflow Gen2
    • Data Transformation Workflows
    • Data Preparation for Analytics
  • 2: Data Pipelines
    • Building Data Pipelines
    • Data Orchestration in Fabric
    • Scheduling and Monitoring Pipelines
  • 3: Data Integration
    • Integrating Multiple Data Sources
    • Automated Data Processing Workflows
    • ETL & ELT Pipelines

  • 1: Medallion Architecture Overview
    • Bronze Layer (Raw Data)
    • Silver Layer (Cleaned Data)
    • Gold Layer (Business Ready Data)
  • 2: Data Modeling
    • Designing Fact Tables
    • Designing Dimension Tables
    • Implementing Star Schema
  • 3: Business Analytics Preparation
    • Data Transformation for BI
    • Data Quality and Validation
    • Preparing Data for Reporting

  • 1: Real-Time Analytics Fundamentals
    • Introduction to Real-Time Data Processing
    • Streaming Data Concepts
  • 2: Eventstream & Eventhouse
    • Working with Eventstream
    • Creating Eventhouse Tables
    • Managing Streaming Data
  • 3: KQL & Real-Time Dashboards
    • Writing KQL Queries
    • Building Real-Time Dashboards
    • Creating Alerts & Automation

  • 1: Distributed Data Processing
    • Introduction to RDD (Resilient Distributed Dataset)
    • Spark Transformations and Actions
  • 2: PySpark Transformations
    • Narrow vs Wide Transformations
    • DataFrame Transformations
    • Data Aggregation Techniques
  • 3: ETL Processing
    • Extract, Transform, Load (ETL)
    • Data Processing Pipelines
    • Data Validation Techniques

  • 1: AI in Cloud Data Engineering
    • Overview of Artificial Intelligence in Data Platforms
    • AI Applications in Data Engineering
  • 2: AI Copilot in Fabric
    • Using AI Copilot to Generate PySpark Scripts
    • AI-Assisted SQL Query Generation
  • 3: Automation with AI
    • AI-driven Data Pipeline Automation
    • AI for Cloud Resource Management

  • 1: SQL Fundamentals
    • Introduction to SQL Databases
    • Basic SQL Queries
  • 2: Advanced SQL Queries
    • Joins, Subqueries, and CTEs
    • Aggregations and Data Filtering
  • 3: Azure SQL Integration
    • Deploying Azure SQL Database
    • Database Security and Access Management

  • 1: Business Intelligence Fundamentals
    • Introduction to Business Intelligence
    • Data Visualization Concepts
  • 2: Dashboard Creation
    • Creating Dashboards using Microsoft Power BI
    • Data Modeling for BI
  • 3: Reporting & Insights
    • KPI Reporting
    • Sharing Reports with Stakeholders

  • Project 1: End-to-End Data Engineering Project
    • Data ingestion using Fabric pipelines
    • Data transformation using PySpark
    • Medallion architecture implementation
    • Dashboard creation using Power BI
  • Project 2: Real-Time Analytics Project
    • Real-time data ingestion with Eventstream
    • Streaming data processing
    • Real-time dashboard and alerts
Who can learn this course

  • Aspiring Data Engineers

  • ETL Developers

  • Business Intelligence Professionals

  • Azure Data Engineers

  • Data Analysts looking to upskill

  • Cloud Engineers transitioning to data roles

  • IT Professionals seeking Microsoft Fabric Data Engineer Associate Training certification

  • Fresh graduates aiming for data engineering careers

Average package of course (Microsoft Fabric Data Engineer Training(DP-700))

100% Avg
salary hike
5-8L Avg
Package
Upcoming Batches
Live Training Batches Timetable
Course Name Faculty Date Time Mode of Training Batch Type Meeting Link
Microsoft Fabric Data Engineer Training(DP-700) Mr. Wasif 16 Mar 7:30 AM (IST) online Online Training
Training Features
Comprehensive Course Curriculum

Elevate your career with essential soft skills training for effective communication, leadership, and professional success.

Experienced Industry Professionals

Learn from trainers with extensive experience in the industry, offering real-world insights.

24/7 Learning Access

Enjoy round-the-clock access to course materials and resources for flexible learning.

Comprehensive Placement Programs

Benefit from specialized programs focused on securing job opportunities post-training.

Hands-on Practice

Learn by doing with hands-on practice, mastering skills through real-world projects

Lab Facility with Expert Mentors

State-of-the-art lab facility, guided by experienced mentors, ensures hands-on learning excellence in every session

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