Microsoft Fabric Training in Hyderabad

Are you looking for best training institute for Microsoft Fabric Training in Hyderabad? Eclasess offers best Microsoft Fabric online and classroom Training from Hyderabad, India by IT 10+ yr in industrial real time experts.

Microsoft Fabric Online Training

Eclasess trainings provides the best and industry oriented Microsoft Fabric training to gain skills in order to build your professional career . Our course curriculum covers all the concepts to gain real-time proficiency in fundamentals of Microsoft Fabric, online transaction processing services, reliable service frameworks, building a service fabric application, deployment, management of service fabric clusters, creating and configuring listeners, etc.Moreover with comprehensive training helps to gain expertise in this comprehensive field so as to accomplish your daily tasks for ease. Our expert trainers deliver the lecturers in a more practical way so as to gain realistic experience. Get the industry-oriented Microsoft Fabric training course from the certified mentors by joining Eclasess.

Online Microsoft Fabric Training Hyderabad

  • Eclasess Education provides the best Online Microsoft Fabric certification training course in collaboration with industry experts with certified trainers.
  • Our trainers are certified Experts with min 10+ years of industry experience.
  • We have also worked as training partners for many corporations across the globe.
  • Not just live sessions, we help you get live practical exposure through our tasks & assignments.
  • We get everyone covered. We offer online classes, Classroom training & self paced recorded sessions.


  • Overview of Microsoft Fabric
  • Key features and capabilities
  • Use cases and benefits
  • 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, and business intelligence
  • Introduction to the various tools and services available in Microsoft Fabric
  • Lake House
  • Shortcuts
  • SQL End Points
  • Data Warehouse
  • Data Factory Pipelines
  • Data Flow Gen2
  • Notebooks
  • Apache Spark
  • Spark Job Definitions
  • Real-Time Analytics
  • Data Science
  • Power BI
  • Data Activator
  • 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
  • Introduction to the Lake House concept
  • Creating a Lake House in Microsoft Fabric
  • Exploring options and features in Lake House
  • Uploading files to the Lake House
  • Loading data from Azure Data Lake Gen2 to the Lake House
  • Loading data from Azure SQL Database to the Lake House
  • Loading data from on-premises SQL to the Lake House
  • Loading data using Data Flow Gen2
  • Loading data into the Lake House using Data Factory Pipelines
  • Loading data into the Lake House using Notebooks
  • Understanding Shortcuts in the Lake House
  • How to create shortcuts
  • Querying data using shortcuts in the Lake House from various sources
  • Overview of SQL End Points
  • Connecting to SQL End Points
  • Writing data on tables in the Lake House 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
  • Introduction to data warehousing
  • Dimensions and Fact Tables in data warehousing
  • Star and snowflake schema concepts
  • Differentiating dimension and fact tables
  • Slowly changing dimensions
  • Creating a Data Warehouse in Microsoft Fabric
  • Creating tables and relationships in the Data Warehouse
  • Creating visual queries in the Data Warehouse
  • Copying data from blob storage into the Data Warehouse using Copy Into
  • Cross-querying data from the Lake House into the Data Warehouse
  • Creating staging tables in the Data Warehouse
  • Loading and transforming data from the Lake House to Data Warehouse tables using Data Flow Gen2
  • Loading and transforming data from the Lake House to Data Warehouse tables using Data Factory Pipelines
  • Loading and transforming data from the Lake House to Data Warehouse tables using Notebooks
  • Creating reports using Power BI from the Data Warehouse
  • Configuring Spark in a Microsoft Fabric workspace
  • Writing Py Spark and Spark SQL Notebooks
  • Creating Delta Lake Tables in the Lake House 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
  • Exploring Data Factory activities
  • Designing pipelines to copy data from on-premises SQL to the Lake House
  • Designing pipelines to copy data from Blob Storage to the Lake House
  • Designing pipelines to copy data from Data Lake Gen2 to the Lake House
  • Designing pipelines to copy data from the Lake House to the Data Warehouse
  • Designing pipelines to copy data from HTTPS websites to the Lake House
  • Designing Data Flows Gen2 to copy data from the Lake House to the Data Warehouse applying transformations
  • Scheduling and monitoring of pipelines
  • Understanding real-time analytics in Microsoft Fabric
  • Exploring all available options in real-time analytics
  • Creating a KQL Database
  • Loading data into KQL Database tables from files
  • Creating KQL queries
  • Designing reports using Power BI from KQL queries
  • Introduction to data science
  • Exploring options available in Microsoft Fabric for data science
  • Overview of common machine learning models
  • Understanding the data science process
  • Identifying the problem statement
  • Getting data from various sources
  • Preparing data for training
  • Training the model using ML Flow
  • Generating predictions
  • Introduction to Power BI
  • Power BI Desktop
  • Power BI Online Services
  • Power BI Mobile App
  • Creating columns and measures using DAX
  • Connecting to different data sources
  • Designing reports and dashboards
  • Different filter types in Power BI
  • Implementing bookmarks
  • Publishing Power BI reports
  • Row-level security
  • Gateways in Power BI
  • Data refresh schedules in Power BI
  • Sharing dashboards with users
  • Implementing an end-to-end project using all the tools and services in Microsoft Fabric

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  • Duration 2 Months
  • Trained Students 12565
  • Days 60 Days
  • Resume Preparation Yes
  • Interview Guidance Yes