Microsoft Fabric

Learn Microsoft Fabric to streamline data integration, engineering, and analytics. Master its components, optimize workflows, and leverage AI-powered insights for seamless collaboration, scalable solutions, and data-driven decision-making in modern enterprises.

Explore Training Partner with Us
Microsoft Fabric

Microsoft Fabric

Learn Microsoft Fabric to streamline data integration, engineering, and analytics. Master its components, optimize workflows, and leverage AI-powered insights for seamless collaboration, scalable solutions, and data-driven decision-making in modern enterprises.

Contact Us

What You’ll Learn

  • 📘 Introduction to Microsoft Fabric
  • 📘 Signing Up for a Free Trial!
  • 📘 Setting Up a Workspace in Microsoft Fabric
  • 📘 Understanding Microsoft Fabric Pricing
  • 📘 Understanding OneLake, Lakehouses, and Workspaces
  • 📘 Creating and Managing Workspaces and Lakehouses
  • 📘 Understanding Lakehouses
  • 📘 Creating Workspaces and Lakehouses
  • 📘 Creating a Lakehouse
  • 📘 Uploading Files to a Lakehouse
  • 📘 Converting Files into Tables
  • 📘 Exploring Delta Tables and Appending Data
  • 📘 Using Dataflow Gen2 to Ingest JSON Data into a Delta Table
  • 📘 Using OneLake Explorer for File Management
  • 📘 Exploring the SQL Analytics Endpoint
  • 📘 Using Visual Queries
  • 📘 Using Shortcuts in Microsoft Fabric to Avoid Data Duplication
  • 📘 Managing Permissions and Sharing Items
  • 📘 Building Relationships in a Semantic Model
  • 📘 Creating Power BI Reports from a Semantic Model
  • 📘 Creating a Custom Semantic Model in Microsoft Fabric
  • 📘 Creating Measures in a Semantic Model
  • 📘 Connecting to the SQL Endpoint in Microsoft Fabric Using Power BI
  • 📘 Auto-Generating Power BI Reports
  • 📘 Publishing and Distributing Reports with Power BI Apps
  • 📘 Updating and Managing Power BI Apps
  • 📘 Building Data Pipelines
  • 📘 Building a Data Pipeline in Microsoft Fabric
  • 📘 Transforming Data Using Dataflow Gen 2
  • 📘 Optimizing Dataflow Performance
  • 📘 Scheduling and Running Data Pipelines
  • 📘 Monitoring and Troubleshooting Data Pipelines in Microsoft Fabric
  • 📘 Understanding Data Warehouses
  • 📘 Building Your First Data Warehouse
  • 📘 Data Warehouse vs. Lakehouse
  • 📘 Inserting, Updating, and Deleting Data
  • 📘 Modifying Table Schema
  • 📘 Creating a Meaningful Date ID and Establishing Relationships
  • 📘 Loading Data into Microsoft Fabric Using the COPY INTO Command
  • 📘 Automating Data Ingestion with Data Pipelines
  • 📘 Referencing Data Across Warehouses and Lakehouses
  • 📘 Efficient Data Management with the CLONE Command
  • 📘 Creating Reports from a Data Warehouse
  • 📘 Introduction to Apache Spark in Microsoft Fabric
  • 📘 Using Notebooks and Apache Spark
  • 📘 Working with Notebooks
  • 📘 Loading Data into Microsoft Fabric Notebooks
  • 📘 Loading Data from a Lakehouse
  • 📘 Defining and Inferring Schema in Microsoft Fabric
  • 📘 Filtering Data in Microsoft Fabric Using Spark
  • 📘 Modifying Schema
  • 📘 Adding New Columns
  • 📘 Aggregating and Grouping Data
  • 📘 Rounding and Formatting Data in Microsoft Fabric Using Spark
  • 📘 Joining DataFrames
  • 📘 Writing Data to Files
  • 📘 Writing Data to Delta Tables in Microsoft Fabric Lakehouse
  • 📘 Working with SQL in Spark
  • 📘 Querying DataFrames Using SQL
  • 📘 Combining SQL and PySpark
  • 📘 Scheduling Notebooks
  • 📘 Integrating Notebooks into Data Pipelines
  • 📘 Configuring Spark Settings in Microsoft Fabric
  • 📘 Using Spark Job Definitions for Production Workloads
  • 📘 Scheduling and Monitoring Spark Job Definitions
  • 📘 Case Study 4: Real-Time Log File Analysis for Data Security
  • 📘 Introduction to Real-Time Analytics in Microsoft Fabric
  • 📘 Setting Up a KQL Database
  • 📘 Understanding the Basics of Kusto Query Language (KQL)
  • 📘 Filtering and Sorting Data with Kusto Query Language (KQL)<
  • 📘 Aggregating and Grouping Data in Kusto Query Language (KQL)
  • 📘 Visualizing Data in Kusto Query Language (KQL)
  • 📘 Bringing Additional Data into Our KQL Database
  • 📘 Joining Data in KQL: Merging Multiple Tables for Analysis
  • 📘 Setting Up Real-Time Event Streams
  • 📘 Processing and Storing Real-Time Data
  • 📘 Transforming Real-Time Data with Event Processor in Microsoft Fabric
  • 📘 Visualizing Real-Time Data with Power BI in Microsoft Fabric
  • 📘 Integrating Real-Time Data into a Lakehouse
  • 📘 Real-Time Data Analysis in Notebooks
  • 📘 Understanding Retention Policies in Microsoft Fabric
  • 📘 Deleting an Eventstream
  • 📘 Building an End-to-End Data Science Solution
  • 📘 Setting Up a Notebook and Loading Data
  • 📘 Converting Data into a Pandas DataFrame for Machine Learning
  • 📘 Exploratory Data Analysis and Data Cleaning
  • 📘 Exploratory Data Analysis (EDA) - Distributions
  • 📘 Understanding Feature Contribution
  • 📘 Feature Engineering and Encoding
  • 📘 Visualizing Clean Data in Power BI
  • 📘 Setting Up Experiments and Model Training
  • 📘 Preparing Training and Test Data for Model Training
  • 📘 Training the Model: Random Forest Classifier
  • 📘 Evaluating and Comparing Model Performance
  • 📘 Understanding the Precision-Recall and ROC Curves
  • 📘 Comparing Model Performance and Selecting the Best Model
  • 📘 Saving and Deploying a Machine Learning Model
  • 📘 Deploying and Applying a Machine Learning Model
  • 📘 Data Activator in Microsoft Fabric
  • 📘 Using Event Streams for Reflex Items in Microsoft Fabric
  • 📘 Setting Up Reflex Triggers Using Power BI
  • 📘 Configuring Reflex Triggers
  • 📘 Configuring Reflex Triggers with Event Streams
📘

10

Sections

📋

104

Chapters

Why Train with ByteSize?

🎓

Free Access to LMS with AI Q&A

Enjoy complimentary access to our Learning Management System (LMS) with AI-powered Question & Answer features to enhance your learning experience.

🎮

Surveys, Quizzes and Games

Make learning interactive and engaging with our innovative tools like surveys, quizzes, and games tailored to boost retention and fun.

📊

Access to Learner Dashboard

Monitor learner progress with our comprehensive dashboards, providing real-time insights to measure engagement and performance.

Let’s Build Your Team’s Skills

Take the first step to transform your organization with data analytics. Fill out the form, and we’ll get back to you with a tailored solution.