Bien démarrer
What Is Microsoft Fabric? A Practical Overview
Understand how OneLake, workspaces, Lakehouses, Warehouses, notebooks, pipelines, SQL endpoints and semantic models fit together.
Prévu · Voir dans la feuille de route →Parcours guidé
Microsoft Fabric
Apprendre Microsoft Fabric en construisant
Commencez par un espace de travail et votre premier notebook, puis progressez vers les Lakehouses, les tables Delta, les Warehouses, Git, le CI/CD et l’ingénierie à grande échelle.
Le contenu technique est actuellement prévu en anglais. L’interface du parcours est disponible en français.
01—12
Commencer ici
Suivez le parcours essentiel, d’un espace vide à un workflow de données prêt pour la production.
- 01Workspace
- 02Lakehouse
- 03Notebook
- 04Explore data
- 05Delta tables
- 06Warehouse
- 07Pipelines
- 08Git
- 09CI/CD
- 10Logging
- 11Debugging
- 12Performance
Premiers pas2 tutoriels
Bien démarrer
Create Your First Microsoft Fabric Workspace
Create a development workspace with sensible capacity, access and ownership decisions from the start.
Prévu · Voir dans la feuille de route →
Lakehouse et notebooks5 tutoriels
Vos premières données
Create Your First Fabric Lakehouse
Build a Lakehouse and understand its Files, Tables and SQL analytics endpoint surfaces.
Prévu · Voir dans la feuille de route →Vos premières données
Create Your First Fabric Notebook
Use PySpark to load, inspect and summarize a dataset in your first Fabric notebook.
Prévu · Voir dans la feuille de route →Explorer les données
Explore Data with PySpark in Microsoft Fabric
Practice the DataFrame operations used to explore and shape data in Fabric notebooks.
Prévu · Voir dans la feuille de route →Explorer les données
Use SQL Inside a Fabric Notebook
Query notebook data with Spark SQL and decide when SQL or PySpark is the clearer tool.
Prévu · Voir dans la feuille de route →Explorer les données
Write Your First Delta Table in Fabric
Persist a DataFrame as a managed Delta table and query it from Spark and SQL.
Prévu · Voir dans la feuille de route →
Architecture médaillon10 tutoriels
Apprenez à structurer des couches de données brutes, conformes et de service sans surdimensionner la plateforme.
Fondamentaux
Medallion Architecture Explained: Bronze, Silver and Gold
What the Bronze, Silver and Gold layers are for, how data quality and incremental processing work across them in Microsoft Fabric, and when fewer layers are the better design.
Lire le tutoriel →Fondamentaux
When You Should NOT Use All Three Medallion Layers
A critical look at the Medallion pattern: when two layers or a single curated model are enough, and the cost that each unnecessary layer adds.
Prévu · Voir dans la feuille de route →Conception des couches
Designing a Bronze Layer in Microsoft Fabric
How to design a Bronze layer that preserves source fidelity: landing formats, ingestion metadata, schema drift, retention and replay.
Prévu · Voir dans la feuille de route →Conception des couches
Designing a Silver Layer for Clean and Conformed Data
How to turn source-shaped Bronze data into clean, validated, conformed Silver entities that several consumers can share.
Prévu · Voir dans la feuille de route →Conception des couches
Designing a Gold Layer for Reporting and APIs
How to design the Gold layer that reports, semantic models and APIs consume: modelling choices, stable contracts, serving engines and how to change it without breaking consumers.
Prévu · Voir dans la feuille de route →Patterns d’ingénierie
Incremental Processing Across Bronze, Silver and Gold
How changes propagate from Bronze to Silver to Gold without full reloads: change detection between layers, affected keys and recomputing only impacted aggregates.
Prévu · Voir dans la feuille de route →Patterns d’ingénierie
Delta MERGE Patterns in a Medallion Architecture
Which write pattern belongs in which layer: append in Bronze, MERGE for Silver entities and history, and targeted overwrite or MERGE for Gold.
Prévu · Voir dans la feuille de route →Patterns d’ingénierie
Partitioning Strategies Across Medallion Layers
Why the right partitioning often differs by layer, from load-date partitions in Bronze to unpartitioned Gold tables, and how to decide.
Prévu · Voir dans la feuille de route →Patterns d’ingénierie
Small Files and Compaction in Medallion Architectures
Where small files come from in each layer and how to plan OPTIMIZE, V-Order and VACUUM per layer instead of applying one schedule everywhere.
Prévu · Voir dans la feuille de route →Projet de synthèse
Building an End-to-End Fabric Medallion Pipeline
A complete, production-minded Medallion pipeline in Fabric: incremental ingestion, quality gates, MERGE, maintenance, logging and deployment. It builds on the first end-to-end pipeline tutorial.
Prévu · Voir dans la feuille de route →
Warehouse1 tutoriels
Lakehouse et Warehouse
Lakehouse vs Warehouse in Microsoft Fabric: How I Decide
The criteria I use to choose between a Fabric Lakehouse and a Fabric Warehouse: team skills, write patterns, T-SQL needs and governance.
Prévu · Voir dans la feuille de route →
Pipelines2 tutoriels
Construire avec les données
Build Your First End-to-End Fabric Pipeline
Move CSV or Parquet through a notebook-driven Bronze, Silver and Gold flow into a queryable serving layer.
Prévu · Voir dans la feuille de route →Notebooks paramétrés
Make Your Fabric Notebook Reusable with Parameters
Pass dates and business identifiers from a pipeline into one reusable Fabric notebook.
Prévu · Voir dans la feuille de route →
Git et CI/CD5 tutoriels
Bien démarrer
Connect Microsoft Fabric to Git
Connect a Fabric workspace to a repository and understand branches, synchronization, versioned artifacts and current limitations.
Prévu · Voir dans la feuille de route →Git et CI/CD
Git Integration in Microsoft Fabric
Use Fabric Git integration deliberately across branches, workspace artifacts and team workflows.
Prévu · Voir dans la feuille de route →Git et CI/CD
Designing Dev, Test and Production Deployments for Fabric
How to promote Fabric items between environments: configuration per environment, data separation, approvals and rollback.
Prévu · Voir dans la feuille de route →Git et CI/CD
CI/CD for Microsoft Fabric: A Practical Deployment Strategy
A practical deployment approach for Fabric items using Git integration, deployment pipelines and automation, including what still needs manual steps.
Prévu · Voir dans la feuille de route →Git et CI/CD
What Actually Gets Deployed in Fabric?
Separate deployable workspace artifacts from data, connections and environment-specific configuration.
Prévu · Voir dans la feuille de route →
Ingénierie de production3 tutoriels
Ingénierie de production
Logging Your Fabric Notebooks Properly
Design an execution log that makes notebook and pipeline runs traceable in production.
Prévu · Voir dans la feuille de route →Ingénierie de production
Debugging Fabric Notebooks and Pipelines
Use a repeatable workflow to diagnose Spark, schema, parameter, dependency and pipeline failures.
Prévu · Voir dans la feuille de route →Performance et échelle
Incremental Loads in Microsoft Fabric Without Reprocessing Everything
Patterns for loading only new and changed data into Fabric, with watermarks, change tracking and Delta MERGE, and how to handle late or corrected data.
Prévu · Voir dans la feuille de route →
Performance et échelle7 tutoriels
Performance et échelle
Working with Millions of Rows in Microsoft Fabric
Build a practical baseline for file layout, Spark execution and Delta writes at multi-million-row scale.
Prévu · Voir dans la feuille de route →Performance et échelle
Working with Billions of Rows in Microsoft Fabric
Plan storage, partitioning, incremental processing and capacity for billion-row Fabric workloads.
Prévu · Voir dans la feuille de route →Performance et échelle
Choosing a Good Partition Column for Delta Lake
Criteria for choosing a partition column: cardinality, query filters, write patterns and data volume per partition.
Prévu · Voir dans la feuille de route →Performance et échelle
Choosing the Right Parquet File Size
How file size affects read parallelism, metadata overhead and write cost, and how to pick a target size for your engines.
Prévu · Voir dans la feuille de route →Performance et échelle
MERGE into Delta Tables: Performance Patterns That Matter
How Delta MERGE works internally and the patterns that keep it fast: narrowing the target, partition and file pruning, and source deduplication.
Prévu · Voir dans la feuille de route →Performance et échelle
Small Files in Delta Lake: Why They Hurt Performance
Where small files come from in Delta tables, how they slow down reads, writes and the transaction log, and how to measure the problem.
Prévu · Voir dans la feuille de route →Performance et échelle
Fabric Performance Troubleshooting: A Practical Workflow
A step-by-step workflow for slow Fabric workloads: deciding whether the problem is capacity, Spark, SQL, storage layout or the query itself.
Prévu · Voir dans la feuille de route →
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Trace a report request through gateway, security, validation, cache, Fabric query, result construction and monitoring.
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What Is a Report Engine?
Define the report engine as a secure service between UI or API consumers and analytical data.
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How to Make Microsoft Fabric Notebooks Faster
A practical workflow for reducing Fabric notebook startup, read, shuffle, transformation and Delta write time without guessing.
Certification
Prepare for Microsoft Fabric certification
Connect the official DP-600 or DP-700 skills outline to hands-on Fabric projects, troubleshooting, and production practice.