Microsoft Fabric: Data Analytics All-in-One SaaS Platform

What is Microsoft Fabric?

Microsoft Fabric is a comprehensive analytics and data platform made for businesses that need a single, integrated solution. Live event routing, data transmission, processing, ingestion, transformation, and report production are included. Data Engineering, Data Factory, Data Science, Real-Time Analytics, Data Warehouse, and Databases are among its extensive range of services.

You don’t have to put together various services from various providers while using Fabric. Rather, it provides a user-friendly, totally integrated platform that streamlines your analytics needs. Fabric simplifies and integrates your solutions using a Software as a Service (SaaS) architecture.

Microsoft Fabric creates a coherent stack by combining disparate components. OneLake allows you to consolidate data storage rather than depending on many databases or data warehouses. Fabric’s AI capabilities are easily integrated, thus manual integration is not necessary. You can quickly turn your raw data into insights that business users can utilize using Fabric.

Microsoft Fabric Capabilities

Numerous features offered by Microsoft Fabric are intended to improve data management, productivity, and AI integration. Here are some key features:

• Role-specific workloads: Tailored solutions that give each user the tools they need for different positions inside an organization.
• OneLake: A single data lake that makes accessing and managing data easier.
• Copilot support: AI-powered tools that help users by automating chores and making wise recommendations.
• Integration with Microsoft 365: Smooth integration with Microsoft 365 technologies that improves teamwork and output throughout the company.
• Azure AI Foundry: Makes advantage of Azure AI Foundry‘s sophisticated AI and machine learning features, which let users create and implement AI models quickly.
• Centralized data discovery that streamlines governance, sharing, and access is known as unified data management.

Unification with SaaS foundation

Software as a Service (SaaS) is the basis upon which Microsoft Fabric is based. For individualized user experiences, it integrates both new and pre-existing components from Power BI, Azure Synapse Analytics, Azure Data Factory, and other sources into a unified environment.

Workloads including Real-Time Intelligence, Industry solutions, Databases, Power BI, Data Engineering, Data Factory, and Data Science are all integrated into a common SaaS basis by Fabric. Each of these experiences fulfills a unique purpose and is designed for certain user roles, such as scientists, data engineers, or warehousing specialists. The following benefits are provided by the AI-integrated Fabric stack, which speeds up the data journey:

• Comprehensive integrated analytics
• Common experiences that are familiar and simple to learn
• All assets are easily accessible and reusable.
• Maintaining data in its original place with unified data lake storage
• Centralized management and control

Fabric allows for unified administration, governance, and discovery by seamlessly integrating data and services. It guarantees row-level access, data security, and item security. Core corporate functionalities may be configured centrally. All of the underlying services automatically apply permissions. Furthermore, the suite’s pieces all immediately inherit data sensitivity labels. Purview, integrated into Fabric, powers governance.

By removing the burden of integrating, managing, or even comprehending the underlying infrastructure, Fabric enables artists to focus on creating their greatest work.

Elements Microsoft Fabric

Fabric provides a wide range of analytics experiences that are intended to function in unison. Each of these experiences is customized by the platform to fit a certain persona and task:

Power BI: With Power BI, you can quickly connect to your data sources, display your data, identify what matters, and share your findings with as many people as you choose. Business owners can quickly and easily access all of Fabric’s data with this integrated experience, which also helps them make better data-driven choices.

Databases: Microsoft Fabric‘s transactional databases, like Azure SQL Database, are developer-friendly and make it simple to build an operational database on Fabric. You may combine data from several systems into OneLake by using the mirroring feature. Your current data estate, comprising information from Azure SQL Database, Azure Cosmos DB, Azure Databricks, Snowflake, and Fabric SQL database, may be constantly replicated into Fabric’s OneLake.

Data Factory: To ingest, process, and convert data from a variety of data sources, Data Factory offers a contemporary data integration experience. You may connect to on-premises and cloud data sources using over 200 native connectors, and it integrates the ease of use of Power Query.

Industry Solutions: offers industry-specific data solutions, such as data management, analytics, and decision-making, that cater to particular business demands and difficulties.

Real-Time Intelligence: The Real-time intelligence is a comprehensive solution for data logs, streaming data, and event-driven scenarios. By managing data intake, transformation, storage, analytics, visualization, tracking, artificial intelligence, and real-time actions, it makes it possible to extract insights, visualize, and take action on data in motion. A vast array of no-code connectors are offered by the Real-Time hub in Real-Time Intelligence, which converges into a catalog of corporate data that is integrated, controlled, and safeguarded across Fabric.

Data Engineering: A Spark platform with excellent writing experiences is offered by Fabric Data Engineering. It lets you build, maintain, and improve systems for gathering, storing, processing, and evaluating large amounts of data. Notebooks and Spark tasks may be scheduled and orchestrated with Fabric Spark’s interaction with Data Factory.

Fabric Data Science: You may create, implement, and operationalize machine learning models from Fabric with the help of Fabric Data Science. It has built-in model registry and experiment tracking with its integration with Azure Machine Learning. Business analysts may include the predictions made by data scientists into their BI reports, enabling a transition from descriptive to predictive insights.

Fabric Data Warehouse: Fabric Data Warehouse offers the best SQL performance and scalability in the business. It allows computation and storage to scale independently by separating them. It also saves data in the open Delta Lake format by default.

Microsoft Fabric, an application of data mesh architecture, helps businesses and people transform massive and complicated data stores into meaningful workloads and insights.

Microsoft Fabric pricing

Microsoft Fabric pricing overview

By consolidating all data sources and analytics services into a single, AI-powered platform, you can completely transform how people access, manage, and act upon data and insights.

Microsoft Fabric Capacity (Reservation or Pay-as-you-go)

Get access to a shared capacity pool that enables all of Microsoft Fabric‘s features, including business intelligence, AI experiences, data modeling, and data warehousing (at least one minute).

The advantages of fabric capacity include:

• Streamlined procurement by using a single computing pool for all workloads.
• Without pre-allocating capacity, you may utilize the same set of Capacity Units (CUs) wherever you need them.
• To cut expenses, all CUs are combined and not restricted to idle work.
• Users can scale up or down the computational capacity automatically based on their needs.
• Transparent tracking of expenses and consumption via a unified dashboard.