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awesome-microsoft-fabric
A curated list of awesome Microsoft Fabric resources, updates, blogs, videos and more
https://github.com/bhakthan/awesome-microsoft-fabric
- Overview - Microsoft Fabric Overview
- Decision Guide
- Fabric Roadmap
- Adoption Roadmap
- Fabric Guided Tour
- Fabric AI Hack
- Microsoft Fabric Blog
- Submit your ideas
- Get Started with Fabric
- Synapse Blog
- Fabric Notes
- Data Factory Blog
- Synapse Analytics Blog
- Azure Data Explorer ADX
- Azure Machine Learning
- Azure Migration
- Data Migration
- Capacity and cost management
- Pricing & Billing
- Meta-data driven Pipeline - Part-1 - 2 Data](https://techcommunity.microsoft.com/t5/fasttrack-for-azure/metadata-driven-pipelines-for-microsoft-fabric-part-2-data/ba-p/3906749)
- Semantic Kernel and Fabric
- Azure Open AI with Microsoft Fabric
- How to leverage Fabric for DataScience
- Eveything you need to know about Fabric Capacities
- Data Warehouse Utilization Reporting in Fabric Capacity Metrics App
- OneLake Shortcuts to Power Platform and Dynamics 365
- Understanding KQL DB Capacity
- Column Level and Row Level Security for Fabric Warehouse
- End to End Workshop - Analyzing wildlife data with Fabric - Includes Datasets - e2e-serengeti)
- Fabric Copilot Workshop
- Change the game - Exploring Data with Fabric
- OneLake File Explorer
- Semantic Kernel and Fabric
- Fabric Icons
- Delta-RS native support for Rust
- Data Compaction
- Multiple Shortcuts
- Time travelling through data - Magic of Table Clone
- Using your own python library
- Guardrails for Burstable Activity
- Data Quality with Semantic Link
- Mirroring in Fabric
- Fabric and M365
- Fabric for existing synapse users
- Delta Lake Support in Real-Time Analytics with KQL
- SAP data into Fabric
- Semantic Link: OneLake integrated Semantic Models
- Explore Data Transformation in Eventstream for KQL DB
- Lakehouse Vs Warehouse - Deep Dive into usecases
- Datawarehouse Recovery
- Understanding the underlying architecture
- Automate Fabric Datawarehouse queries and commands with data factory
- Fabric Data Factory Data Pipelines to Orchestrate Notebook-based Workflows
- Data Pipelines - Advanced Scheduling Techniques
- Data Flow Gen2 Destinations and managed settings
- Managed Private End Points
- Mapping Azure Synapse Dedicated SQL pools to fabric data warehouse compute
- Analyze Dataverse Tables with Fabric
- Bridging Fabric Lakehouses: Delta Change Data Feed for Seamless ETL
- Integrate onpremise data using data pipelines in data factory - data gateway
- Fast copy in Gen2
- Analyze Dataverse tables in Fabric
- Delta change data feed for seemless ETL
- CosmosDB for NoSQL with Fabric
- Mirroring Azure SQL Database in Fabric
- Fabric git Integration
- Mastering Enterprise T-SQL ETL/ELT: A Guide with Data Warehouse and Fabric Pipelines
- Demystifying Data Ingestion in Fabric: Fundamental Components for Ingesting Data into a Fabric Lakehouse using Fabric Data Pipelines
- Custom Pools - Workspace level capacity pools for data engineering and data science
- Microsoft Fabric Lifecycle Management: Getting started with development in isolation using a Private Workspace
- Build Custom AI applications Retrieval Augmented Generation RAG with LLM - Fabric
- Fabric Ideas
- User Groups
- Fabric Certification and Career Hub - New Fabric Analytics Engineer Associate certification
- DP-600 Implementing Analytics Solutions Using Microsoft Fabric - 600-fabric-analytics-engineer-skills-measured-guide/)
- DP-600 Exam Full Course (6+ hours) | Microsoft Fabric Analytics Engineer
- Fabric Workshops and Readiness
- Recurively Load Files from Multiple Workspaces
- Build Insightful Analytics with KQL
- Calculate folder size in Lakehouse
- Increase copy activity throughput
- Loading ML Models
- Migrate existing Models to Fabric
- Download ML Models from Registry
- Not all Delta Tables are equal
- Connecting Event Hubs with Fabric
- Fabric - What, why, who, when and how
- Data Wrangler vs Power Query Editor
- Performance Testing PowerBI Direct Lake with Fabric
- On Demand Loading of Direct Lake Power BI datasets
- Getting Started with Microsoft Fabric Licensing
- End to End Implementation
- Azure Synapse Reference - Linkedin Pulse
- How can Microsoft have an impact on your business
- Using BlobFuse V2 - Fabric Notebook virtual filesystem
- Fabric and Snowflake - Sharing data between
- Fabric DataFlow Gen2 to stage or not to stage
- Table partitioning - convert files to tables
- dbt with the lakehouse
- Row Level Security RLS in Datawarehouse
- Public repositories available in Github for Fabric - Collection of links
- Fabric icons
- Analyze Power BI Data in Excel with Fabric
- Security - Item level access SQL Policy and Object Level
- Comparative Analysis of Fabric
- Streamlit with Microsoft Fabric
- Databricks and Unity Catalog integration with Fabric
- Fabric REST API data pipeline
- Fabric Community
- Fabric Samples for Data Engineering, Data Science, Continous Integration and Development CI/CD, real-time analytics and Developer
- CI/CD GIT integration
- Fabric Workload Development
- Introducing Unified Analytics
- Data Engineering with Microsoft Synapse
- Data Science in Microsoft Fabric
- Data Warehousing with Microsoft Fabric
- Synapse Real-Time Analytics in Microsoft Fabric
- Data Integration with Data Factory
- Introduction to Microsoft Fabric for Power BI Users
- Lakehouse Introduction - to-end scenario from data acquisition to data consumption
- Building ETL step by step
- Criteria to make decisions
- A better Understanding of the Underlying Architecture- Fabric
- Fabric Launch End to End Coverage
- Fabric Introduction by James Serra
- Synapse
- Data Factory
- Data Explorer ADX
- Purview
- Power BI
- Create your first Lakehouse
- Datawarehouse Experience in Microsoft Fabric
- Starter Pools vs Custom Pools
- Enabling Data Mesh in Microsoft Fabric
- Query Optimizations - Performing at Scale
- Building a landing zone in Microsoft Fabric
- Data Wrangler
- Table Clone
- Share a warehouse
- Load data from landing to bronze
- Load existing Delta Tables to Silver
- Granular Access Control
- Concurrency - Performance at Scale
- Shortcuts
- Understanding OneLake
- One Lake as Glue
- Licensing Guide
- Licensing and Cost
- Using Fabric with Databricks
- Use Python Libraries in Microsoft Fabric
- Using SQL Server in Microsoft Fabric
- End to end Solution with Microsoft Fabric
- Cross Cloud Analytics with Microsoft Fabric
- Playlist: Introduction to Microsoft Fabric - Complete Series
- Microsoft Fabric Decision Tree - deciding which service to use when
- Connect to Microsoft Fabric with 5 Tools (SSMS, ADS, Kusto, Excel, and PowerBI)
- Microsoft Fabric Datawarehouse Sharing - Security and Permissions
- Real-time analytics Tutorial
- Using Dynamic Management Views to gain Insights with Fabric
- Lakehouse vs Warehouse - James Serra
- Real-time data sharing
- Utilization Reporting - Data Warehouse - Fabric Capacity
- Data Science in Fabric - Model Scoring with PREDICT
- Advanced Notebook Features & writing data analytics jobs with Spark
- Spark Data Engineering Patterns - Delta Tables for PowerBI
- Data Activator Demo
- Row level Security - Warehouse & SQL Endpoint
- Dataverse Integration with Microsoft Fabric
- Microsoft Fabric Capacity Smoothing and Data Warehouse Throttling
- Permissions in Microsoft Fabric Workspace and SQL
- Microsoft Fabric Spark Utilities - mssparkutils
- Data Engineering Starter Kit - Quick Start with Fabric Product Group
- Auto Logging and MLFlow in Fabric
- Model and Experiment Tracking in Fabric MLFLOW
- CSV Ingestion Performance Improvements
- Explore custom spark pools
- Automated Maintenance Features in Fabric
- Incremental Refresh with your Warehouse without a date in Microsoft Fabric
- Real-time analytics (Synapse) with Fabrics
- Consume Warehouse data from other sources
- Everything you need to know to get started with ADX
- Fabric Spark Compute Capabilities - Azure VMs and their impact on Performance
- Mapping personas to Microsoft Fabric roles
- Microsoft Fabric Data Engineering – Apache Spark Jobs Monitoring
- Fabric Apache Spark Jobs monitoring capabilities - Resource Usage Analysis
- Copilot demo in notebooks
- Data pipeline vs Dataflow vs Shortcut vs Notebook in Microsoft Fabric
- Cost and Performance Considerations when ingesting data into Microsoft Fabric
- How to understand DW query cost
- Direct Lake vs Direct Query? Which one is used and how to validate
- Introduction
- Lakehouse
- Spark on Lakehouse
- Work with Delta
- Data Factory Pipelines
- Data Warehouses
- Real-Time Analytics - time data
- Data Science
- Administer
- Medallion Architecture
- DataFlow Gen2
- Data Analysis with Kusto Query Language - Table Queries
- Azure Data Engineer - free online training from Azure
- Learn together
- Learn Microsoft Fabric with Power BI - Amit Chandan - YT Playlist
- Fabric Admin
- Understanding the roles and domains
- Administration and Governance
- Secure, Govern, Manage at Scale
- Fabric Tenant Settings - Reports
- Extract Tenant Settings using Powershell and REST API
- Fabric Tenant Settings - Current & Snapshot Comparison
- Fabric Deployment Pipelines using API
- Trusted workspace access for onelake shortcuts - configuring workspace identity - Fabric networking
- Fabric Networking: Managed Private Endpoints with Setup and Considerations
- Fabric Link for Dataverse
- Fabric Security End to End - Whitepaper
- External Data Sharing
- Creating managed and external spark tables in Fabric Lakehouse
- One Drive for Data -
- Store and Manage Medical Imaging Data in ADLS
- Interacting with OneLake using Shortcuts REST APIs
- Building Common Data Architectures with OneLake - Security
- Exploring Fabric OneLake vs Azure Data Lake Gen2 Storage Accounts
- Databricks - Writing to OneLake
- Delta Change Data Feed in Fabric Lakehouse
- Key Considerations
- Dedicated sql pool to Fabric
- Dedicated SQL Pool
- Serverless
- SQL Server to Fabric
- Comparison Side by Side
- Navigating the Data Platform Landscape: Finding the Perfect Fit for Your Company Azure Synapse OR Microsoft Fabric
- Above presentations delivered in video
- Deployment Pipelines
- Event Stream in Fabric with Event Processor
- IoT Hub Data Event Stream for email alerting
- DataFlow Gen2 Destinations
- How Fabric Polaris Engine Works
- Publishing full DML logs to Delta Lake
- Quick Look at Data Factory
- Mapping Data Flow to Spark - Example
- Understand Delta Lake Table Features - delta IO
- Using Shortcuts instead of external tables to reference external data in Fabric Warehouse
- Fabric Data Pipeline Advanced Scheduling Techniques
- Optimistic Job Admission - Spark
- Semantic Link - Using Fabric Notebooks with Power BI datasets for Machine Learning
- FabricDataFrame - Semantic Link
- Prebuilt AI Services in Fabric
- Copilot for Data Science and Data Engineering
- Code First AutoML and Hyperparameter Tuning
- Fabric Eventhouse real time data
- From RabbitMQ to PowerBI reports
- Incremental Refresh on Delta Tables
- Add LLM Prompts to Reports using Power BI Copilot and Microsoft Fabric
- Using KQL Query - Kusto query settings in Power BI
- Realtime data sharing in Fabric
- How Data Activator Works
- Extensive capabilities consolidated
- Automate data driven actions
- Data Quality within Lakehouse
- Accessing Purview Portal in your own Fabric Environment
- What is a data mesh?
- What is a data product?
- What are Data Domains
- What are Data Contracts
- Data Marketplace
- Scenario: Financial Institution
- When to use which - Data Mesh, Data Lakehouse, Data Fabric
- Easily implement data mesh architecture with domains in Fabric
- Data Mesh Principles - Zhamak
- Data Monolith to Mesh - Zhamak
- List of Data Lakehouse and Data Mesh (Linkedin)
- Microsoft Fabric measure up to Data Mesh
- Develop a data mesh with Microsoft Fabric
- Explore Strategies with Microsoft Fabric for Data Driven Organization
- Data Mesh vs Data Fabric
- Adopt a Product Mindset with Microsoft Fabric
- Building a data mesh architecture - Paul Andrew
- Understanding Data Modelling in Data Mesh
- Fabric end to end use case energy market - end-to-end-use-case-data-engineering-part-1-spark-and-pandas-in-notebooks/)
- Unlock data value with Healthcare Data Solutions in Fabric
- Paul Andrew's Delivering Near Real-Time Satellite Internet Analytics Using Microsoft Fabric
- Paul Andrew's Marketing Analytics using Microsoft Fabric
- Mapping data flow to Fabric with OpenAI
- Build Intelligent Agents with Microsoft Fabric - Autogen Notebook Example
- Unleash the power of Azure OpenAI and Fabric with Data Search
- Microsoft 365 Data and Fabric
- Course - Cloud Powered App - Fabric
- Content Moderation with Azure Content Safety and Blob Metadata for Analysis and Insights with Microsoft Fabric
- Using Copilot in Fabric Notebook for data engineering
- Use Copilot in Fabric
Programming Languages