Microsoft Fabric Training in Hyderabad
Join our Microsoft Fabric Training in Hyderabad and learn how to unify data, analytics, and AI on a single, integrated platform. Through hands-on, practical training, you’ll master building end-to-end data solutions—from data integration and transformation to visualization and governance. Turn raw data into actionable insights and enable your organization to make smarter, faster decisions. Empower your career by learning how to streamline data workflows, enhance business intelligence, and drive efficiency with Microsoft Fabric.
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HIGHLIGHTS
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Microsoft Fabric is a next-generation unified data analytics platform that enables individuals and organizations to connect, analyze, and visualize data seamlessly—without deep technical expertise. With its intuitive, low-code/no-code experience, users can rapidly build end-to-end data solutions that integrate multiple data sources, automate data pipelines, and deliver real-time insights. Microsoft Fabric empowers businesses to break down data silos, enhance collaboration across teams, and make data-driven decisions with confidence. By simplifying complex data processes, it accelerates innovation and ensures adaptability in today’s fast-evolving digital landscape. Whether for self-service analytics or enterprise-scale data solutions, Microsoft Fabric offers the flexibility and power needed to drive digital transformation and deliver measurable outcomes.
In today’s data-driven workplace, organizations are rapidly adopting integrated analytics platforms to unify data, enhance decision-making, and boost efficiency—and Microsoft Fabric is at the forefront of this transformation.
High Demand for Data & Analytics Professionals: Businesses need real-time insights faster than ever, and Microsoft Fabric equips you with the skills to build end-to-end data solutions—without deep technical expertise.
Boost Career Opportunities: Gain in-demand knowledge that opens doors to roles in data engineering, business intelligence, analytics, and AI-driven decision-making.
Empower Yourself & Your Team: Connect, transform, and visualize data from multiple sources to solve real business challenges and enable smarter, faster decisions.
Part of the Microsoft Ecosystem: Seamlessly integrates with Power BI, Azure Data Factory, Synapse, Data Activator, and Microsoft 365 for complete data and analytics solutions.
Unified Analytics is the Future: According to industry trends, organizations that unify their data estate will significantly outperform their competitors in agility and insight.
Start learning Microsoft Fabric today and become a key player in driving data-led innovation and digital transformation.
CURRICULUM
Introduction to Azure Data Engineering, Data Analyst & Data Scientist.
Introduction to Azure Cloud (Resources | Services) & Type of Clouds.
Introduction to Microsoft Fabric
Introduction to Microsoft Azure
Introduction to Microsoft Power BI
Overview of Microsoft Fabric
Key Features and Capabilities
Use Cases and Benefits
MS Fabric Account Creation
Fabric Capacity (SKU)
Comparison with Other Data Engineering Services
Overview of the Major Roles Performed by a Microsoft Fabric Developer
Responsibilities in Data Engineering, Data Integration, Data Warehousing,
Real-Time Analytics, Data Science, & Business Intelligence
Introduction to the various tools and services available in Microsoft Fabric
Data Lakehouse
Data Lake & Delta Lake
Data Warehouse
One Lake Storage
(One Lake Explore & Data Studio)
Shortcuts
SQL End Points
Data Factory Pipelines & Activities
Data Flow Gen1
Data Flow Gen2
Notebooks
Apache Spark
Spark Job Definitions
Real-Time Analytics
Power BI
Data Activator
Data Gateway
Data Science
How to create a subscription to Microsoft Fabric
Exploring subscription options and settings in Microsoft Fabric
How to create and manage workspaces in Microsoft Fabric
Workspace configurations and settings
Lakehouse: –
Introduction to the Lakehouse concept Creating a Lakehouse in Microsoft Fabric Data Lakehouse vs Data Warehouse Exploring options and features in Lakehouse Work with Delta Lake tables in Microsoft Fabric Uploading files to the Lakehouse using (Browser & One Lake)
Loading Data Using Data Factory Pipelines | Data Flow | Notebooks
Overview of SQL End Points
Connecting to SQL End Points
Writing Data on Tables in Lakehouse using SQL End Points
Creating Visual Queries using SQL End Points
Creating Modeling using SQL End Points
Creating New Measures
Creating New Reports Using Power BI
SQL Commands, Views, SP, Joins, Functions
Creating Azure Subscriptions (Free, Student & Pay As You Go)
Creating Resource Groups
Creating Resource | Services
Azure Storage Accounts (Blob, File Share, Table & Ques)
Azure Data Lake Store (Data Lake Gen1 & Data Lake Gen2)
Azure Data Lake Analytics
Azure SQL DB (Azure SQL SERVER)
Azure Data Factory – Pipelines, Various Activities, Type of Data Set, Data Flow,
Power Query, Type of Integration Runtime, Linked Services & Triggers
Azure Synapse DWH & Analytics
Exploring Data Factory Activities
Designing Pipelines to copy data from Blob Storage to Lakehouse
Designing Pipelines to copy data from On-Premises SQL to Lakehouse
Designing Pipelines to copy data from Data Lake Gen2 to the Lakehouse
Designing Pipelines to copy data from HTTPS websites to the Lakehouse
Designing Pipelines to copy data from Lakehouse to Data Warehouse
Designing Data Flows Gen2 to copy data from the Lakehouse to the
Data Warehouse applying transformations
Scheduling and monitoring of pipelines
Introduction to Data Warehouse
Dimensions and Fact Tables in Data Warehousing
Star and Snowflake Schema Concepts
Differentiating Dimension & Fact Tables
Slowly Changing Dimensions
Creating a Data Warehouse in Microsoft Fabric
Creating Tables & Relationships in the Data Warehouse
Creating visual queries in the Data Warehouse
Loading Data Using Data Factory Pipelines | Data Flow | Notebooks: –
Copying Data from Blob Storage into the Data Warehouse using Copy Activity.
Cross-Querying Data from the Lakehouse into the Data Warehouse
Creating Staging Tables in the Data Warehouse
Loading & Transforming Data from Lakehouse to Data Warehouse Tables using Data Flow
Gen2
Loading and Transforming Data from Lakehouse to Data Warehouse Tables using Data
Factory Pipelines
Loading & Transforming Data from Lakehouse to Data Warehouse Tables using
Notebooks
Creating reports using Power BI from the Data Warehouse
Understanding Shortcuts in Lakehouse
How to Create Shortcuts
Querying data using Shortcuts in the Lakehouse from Various Sources System
Configuring Spark in a Microsoft Fabric workspace
Writing Py Spark and Spark SQL Notebooks
Creating Delta Lake Tables in the Lakehouse using Notebooks
Using Spark Data Frames to analyze and transform data
Using Spark SQL to query data in tables and views
Visualizing data in a Spark notebook
Running Spark code using Spark Job Definitions
Introduction to Power BI
Power BI Desktop
Power BI Online Services
Power BI Mobile App
Creating Columns & Measures Using DAX
Connecting to Different Data sources
Design reports and Dashboards
Implementing Bookmarks
Publishing Power BI report
Row-Level Security
Gateways in Power BI
Data Refresh Schedules in Power BI
Design reports and Dashboards
Creating the Free Microsoft Fabric & Azure account.
Create the workspace in Fabric and Build a Lakehouse in fabric.
Install One Lake Explorer & Data Studio
Create Your First warehouse in Fabric | | Lakehouse vs Warehouse
Microsoft Fabric: Introduction to Data Factory Experience | Pipelines & Dataflows
End-to-End Scenario with Data Factory Pipelines and Dataflows Gen2
End-to-End Mini Project: Data Factory Pipelines and Dataflows Gen2
Apache spark in Fabric & Notebook creation
Work with Delta Lake tables in Microsoft Fabric
Data Factory Pipeline, Activities, Data Set & Linked Service
Copy data from REST API to Lakehouse in Fabric using Bearer Token
Moving Multiple Folders from Data Lake Storage Gen2 to Lakehouse
Ingest Data from On Premise SQL Server to Lakehouse| Data Gateway
Microsoft Fabric: Copy data from Azure SQL DB to Lakehouse Table | Query | Stored proc
Microsoft Fabric: Copy Multiple tables from Azure SQL DB to Lakehouse dynamically
Ingest data from on premise SQL server to Warehouse Incrementally
Microsoft Fabric: Logging Fabric Pipeline Logs to Warehouse table using stored proc
Microsoft Fabric: Incremental data ingestion from Azure SQL DB to Warehouse in Fabric
Azure Synapse and its Usage
How to copy data from one blob to another blob using synapse pipelines
How to copy multiple latest files from blob to blob and how to copy file with
appended timestamp
Semantic model creation in fabric (Star & Snowflake) Schema
Creation of Microsoft Power BI reports
Connecting Power BI with Multiple sources & developing different format report.
Moving data from Blob to Blob
Moving data from Blob to Azure SQL Server
Moving data from SQL Server to Blob
Moving data from ADLS to Azure SQL Server
Moving data from ADLS to ADLS (Gen1 & Gen2)
Azure Integration Runtime & Types
Azure Self Hosted Integration Runtime
SSIS Integration runtime for Lift & Shift operation
Moving Data from Blob to On Premise SQL Server
Moving Data from On Premise SQL Server To Azure SQL
Moving Data from On Premise files to Azure SQL Server
Moving Data from On Premise files to ADLS and to Azure SQL Server
Load data from Multiple tables into SQL Server using dynamic expressions
Load data from Multiple Files with SQL Server
Mail Alter configuration in ADF ETL pipeline
Stored procedure inputs and outputs parameters configuration to load the data
Use dynamic parameters within the pipeline
Trigger a pipeline using another pipeline
Loading the data into Azure DWH Synapse from multiple sources
Implementing an End-To-End Project (Telecommunication) using all the Tools & Services under the Microsoft Fabric
Microsoft Fabric Training in Hyderabad
Frequently Asked Questions
Microsoft Fabric Training in Hyderabad
No, Microsoft Fabric training is designed to accommodate both beginners and professionals. While a basic understanding of data concepts—such as data engineering, modeling, and analysis—is beneficial, it’s not mandatory. The training begins with foundational topics and progressively advances to more complex subjects. Courses like “Getting Started with Microsoft Fabric” on platforms like Coursera and DataCamp are structured to be beginner-friendly, ensuring that even those new to the field can grasp the concepts and tools effectively.
You’ll gain hands-on experience with:
Data Engineering Tools
Data Warehousing
Business Intelligence & Reporting
Real-Time Analytics
AI & Automation
Monitoring & Management
Yes. We provide a free demo session to help you understand the teaching style and course content before enrolling.
No, Microsoft Fabric training is designed to accommodate both beginners and professionals. While a basic understanding of data concepts—such as data engineering, modeling, and analysis—is beneficial, it’s not mandatory. The training begins with foundational topics and progressively advances to more complex subjects. Courses like “Getting Started with Microsoft Fabric” on platforms like Microsoft Learn are structured to be beginner-friendly, ensuring that even those new to the field can grasp the concepts and tools effectively.
You’ll gain hands-on experience with:
Data Engineering Tools
Data Warehousing
Business Intelligence & Reporting
Real-Time Analytics
AI & Automation
Monitoring & Management
Yes. We provide a free demo session to help you understand the teaching style and course content before enrolling.
