The Seven Fabric Workloads (Part 1)

Introduction to Microsoft Fabric

Alex Kuntz

Technical Instructional Designer

Fabric Workloads

An image of the workloads in Fabric: Data Factory, Data Engineering, Data Warehouse, Data Science, Real-TIme Intelligence, Power BI, Partner & Industry workloads

  • Each workload contains tools relevant for certain jobs
  • For example, Data Factory is used for data ingestion and transformation
  • This video will cover Data Factory, Data Warehouse, and Data Engineering.
1 https://azure.microsoft.com/en-us/blog/introducing-microsoft-fabric-data-analytics-for-the-era-of-ai/
Introduction to Microsoft Fabric

Data Factory

Dataflow Logo

Data Pipeline Logo

Introduction to Microsoft Fabric

Data Factory

Dataflow Logo

  • Ingests data from a variety of sources (e.g. Excel sheets, other databases, other cloud servises)
  • Loads data into a Fabric's OneLake
  • Interface resembles Power Query in Excel or Power BI

Data Pipeline Logo

Introduction to Microsoft Fabric

Data Factory

Dataflow Logo

  • Ingests data from a variety of sources (e.g. Excel sheets, other databases, other cloud servises)
  • Loads data into a Fabric's OneLake
  • Interface resembles Power Query in Excel or Power BI

Data Pipeline Logo

  • Complex, rule-based data workflows
  • Can chain together a series of logic-based steps to process data as it is being ingested
  • Built for data engineers and other technical personas
Introduction to Microsoft Fabric

Data Warehouse

Data Warehouse Logo

  • Databases for structured data
Introduction to Microsoft Fabric

Data Warehouse

Data Warehouse Logo

  • Databases for structured data
  • Created using Dataflow or a Data Pipeline
Introduction to Microsoft Fabric

Data Warehouse

Data Warehouse Logo

  • Databases for structured data
  • Created using Dataflow or a Data Pipeline
  • Fully transactional SQL (both read and write)
Introduction to Microsoft Fabric

Data Warehouse

Data Warehouse Logo

  • Databases for structured data
  • Created using Dataflow or a Data Pipeline
  • Fully transactional SQL (both read and write)
  • Stored using the Delta-Parquet format in OneLake
Introduction to Microsoft Fabric

Data Engineering

Lakehouse Logo

  • Structured and unstructured data
Introduction to Microsoft Fabric

Data Engineering

Lakehouse Logo

  • Structured and unstructured data
  • Usually accessed via Notebooks using Python
Introduction to Microsoft Fabric

Data Engineering

Lakehouse Logo

  • Structured and unstructured data
  • Usually accessed via Notebooks using Python
  • Can read Lakehouse data using SQL, but can not edit data with SQL
  • Use Notebooks with Python/Spark code to modify lakehouse data
Introduction to Microsoft Fabric

Data Engineering

Lakehouse Logo

  • Structured and unstructured data
  • Usually accessed via Notebooks using Python
  • Can read Lakehouse data using SQL, but can not edit data with SQL
  • Use Notebooks with Python/Spark code to modify lakehouse data
  • Uses the Delta-Parquet format in OneLake
Introduction to Microsoft Fabric

Let's practice!

Introduction to Microsoft Fabric

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