alert: a feature that notifies users of changes in the data based on limits they set [2]
app: bundle of dashboards, reports, and semantic models [2]
Azure Data Factory (ADF): pay-per-use serverless cloud-based data integration service that orchestrates and automates the movement and transformation of both cloud-based and on-premises data sources [1]
capacity: a dedicated set of resources that is available at a given time to be used and that defines the ability of a resource to perform an activity or to produce output [1]
certification: a formal process that involves a review of the content by a designated reviewer and managed by the admin
dashboard: a single page (aka canvas) that uses visualizations to tell a story
data governance: set of capabilities that help organizations to manage, protect, monitor, and improve the discoverability of data, so as to meet data governance (and compliance) requirements and regulations
data lineage: the lifecycle that spans the data’s origin, and where it moves over time across the data estate
data mesh: a type of decentralized data architecture that organizes data based on different business domains
data pipeline: a sequence of activities that orchestrate a process
data product:
dataflow (Gen1): a type of cloud-based ETL tool for building and executing scalable data transformation processes
dataflow (Gen2): new generation of dataflows that resides alongside the Power BI Dataflow (Gen1)
delta table: table that stores data as a directory of files in the delta lake (DL) and registers table metadata to the metastore within a catalog and schema
domain: a way of logically grouping together data in an organization that is relevant to a particular area or field
endorsement: formal process performed by admins to endorse MF items
experience: a collection of capabilities targeted to a specific functionality [1]
experiment: the primary unit of organization and control for all related machine learning runs [1]
gateways: a bridge to underlying data sources that provides quick and secure data transfer to the Power BI service
item: a set of capabilities within an experience [1]
lakehouse: a collection of files, folders, and tables that represent a database over a data lake [1]
measure: a quantitative (numeric) field that can be used to do calculations [2]
medallion architecture: a recommended data design pattern used to organize data in a lakehouse logically
model: a file trained to recognize certain types of patterns (Machine Learning) [1]
notebook: a web document-like cell-based container for writing and executing code in a collaborative manner
OneLake: a single, unified, logical data lake for the whole organization
Parquet format: open source, column-oriented data file format designed for efficient data storage and retrieval
promoting: formal process performed by contributors or admins to promote content
row-level security (RLS): feature that enables database administrators to control access to rows in a database table based on the characteristics of the user executing a query [2]
real-time analytics: a robust platform tailored to deliver real-time data insights and observability analytics capabilities for a wide range of data types
real-time streaming: the ability to stream data and update dashboards in real time from sources such as sensors, social media, usage metrics, and anything else from which time-sensitive data can be collected or transmitted [2]
report: a multi-perspective view into a single semantic model, with visualizations that represent different findings and insights from that semantic mode [2]
semantic model: a logical description of an analytical domain, with metrics, business friendly terminology, and representation, to enable deeper analysis
service: a standalone resource available to customers by subscription or license [2]
service tag: a defined group of IP addresses that can be configured to be automatically managed together to minimize the complexity of updates or changes to network security rules
shortcut: a mechanism within OneLake that points to other file store locations and provides a way to connect its data without having to directly copy it
SQL analytics endpoint: a warehouse that is automatically generated from a Lakehouse in MF
subdomains: a way for fine tuning the logical grouping data under a domain
tag:
tenant: a single instance of Fabric for an organization that is aligned with a Microsoft Entra ID [1]
time series: a way of displaying time as successive data points [2]
V-order: a write optimization to the parquet file format that enables fast reads and provides cost efficiency and better performance [1]
warehouse: a 'traditional' data warehouse that supports the full transactional T-SQL capabilities like an enterprise data warehouse
workspace: a collection of items that brings together different functionality in a single environment designed for collaboration [1]
Acronyms:
API - Application Programming Interface
MF - Microsoft Fabric
References:
[1] Microsoft Learn - Fabric (2024) Microsoft Fabric terminology (link)
[2] Microsoft Learn - Fabric (2024) Glossary for business users of the Power BI service (link)
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