In the world of data analysis, choosing the right tool is crucial to the success of any organization. Microsoft offers two powerful solutions – Fabric and Power BI – which, although they share a common goal, differ significantly in terms of functionality, technical requirements and applications.
In this article, we will discuss the key differences between Microsoft Fabric and Power BI, helping you understand which of these tools will best meet your analytical needs.
What is Microsoft Fabric?
Microsoft Fabric is an end-to-end data analytics platform that integrates a number of tools and services in one place. This includes, among others:
- Data Warehouse – used to store and process data for analysis.
- Data Science – tools for creating and implementing machine learning models.
- Synapse Data Engineering – allows you to build and optimize infrastructure for collecting, storing, processing and analyzing large amounts of data.
- Data Factory – a data integration environment that allows you to acquire, prepare and transform data from various sources.
- Data Activator – a tool that allows you to specify actions such as email notifications and Power Automate flows.
- Real-Time Intelligence – supports real-time ingestion, transformation, storage, analysis, visualization and artificial intelligence.
- Power BI – a tool for creating data visualizations.
Microsoft Fabric aims to make it easier for organizations to manage, analyze and use data to make better business decisions. The platform offers a number of features that facilitate collaboration between teams, ensure scalability and data security.
What is Power BI?
Power BI is a data visualization tool that allows users to create interactive reports and dashboards. It allows you to connect to various data sources, tsuch as Excel, SQL Server, and CSV files.
Power BI is often used to create reports and dashboards for management, sales and marketing, and other business teams. It enables users to easily understand data and make accurate decisions.
Differences between Microsoft Fabric and Microsoft Power BI
The biggest difference between Microsoft Fabric and Power BI is that Fabric offers a wider range of features including data storage, data processing, data science and business intelligence, while Power BI focuses on creating data visualizations and is one of the service environments Fabric.
Technical skills necessary to use
When choosing the right tool, it is important to consider the level of technical skill required to operate it. Power BI and Fabric have varying degrees of complexity, which affects who can use them effectively.
Power BI is a tool designed with various users in mind.
A person using Power BI should have basic data analysis concepts and have spreadsheet skills, such as: Microsoft Excel. Power BI offers an intuitive drag and drop interface that makes it easy to create simple reports and data visualizations.
Built-in features and templates make work easier, and users can learn to use the tool with extensive documentation, tutorials, and training resources available online. Users can also use Power Query to transform data and create simple queries without the need to know SQL.
Fabric is a more advanced tool that requires more technical skills from users.
A person working with Fabric should have a solid foundation in programming and data management. Knowledge of programming/query languages such as Python or SQL is required, as well as skills in working with large data sets and analytical and statistical techniques.
Fabric is a tool designed for data scientists, data analysts and data engineers who need to create, process and analyze data on a large scale. Working with Fabric may also require knowledge of cloud data management tools and platforms and the ability to configure and optimize computing environments.
Outsourcing BI services
It is possible to outsource BI services if you lack internal resources or skills. EBIS offers support in, among others in system implementations and in creating reports with both Power BI and Fabric, which allows you to fully use the capabilities of these tools without the need to have advanced technical knowledge in the organization.
If you need help implementing BI tools or are looking for a company that will comprehensively prepare reports and analyze your company’s data – contact us!
