Microsoft Data Science - predictive analytics and ML models

Data Science in Microsoft Fabric

A new dimension in data science

What is Data Science?

An innovative approach to data

Data Science in Microsoft Fabric enables data analysts to work seamlessly on the same secure and managed data that has been prepared by data engineering teams. This eliminates the need to copy data and devise ways to provide data science professionals with secure access to key information.

Ready-to-use tool kit

In Microsoft Fabric, open support for Delta Lake enables data scientists to version datasets to create repeatable machine learning code. In addition, data analysts have access to a wide range of easy-to-use starter interfaces, low-code tools, and code development environments using Notebooks and Visual Studio Code.

Use of modern technologies

Data Science users gain the ability to build ML models and track experiments using MLFlow. To enrich and implement data using predictive models, data science users can create batch prediction scripts and leverage the scalable PREDICT function to accelerate the process.

Scope of Possibilities

How can Data Science in Microsoft Fabric help your business?

Data science is a powerful tool for unlocking the value of data in any organization’s analytical workflow. By leveraging data science, companies can make more informed decisions and gather predictive insights that would otherwise be unattainable.

Various scenarios for the research process
In-depth data analysis, including predictive analysis
Advanced ML models
Seamless integration with BI reports
Comparing environments and research experiments
Scalable PREDICT function for distributed batch evaluation in Spark

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Key Data Science functionalities

Semantic Link – better collaboration between teams

It enables seamless integration of the Power BI environment with machine learning solutions. Thanks to Semantic Link, analytics teams can securely share models and data with data science teams—without having to copy or replicate them.

Data Wrangler – data preparation without code

This tool allows you to interactively explore and clean data in your browser. It enables specialists to quickly prepare data for analysis without having to write scripts manually. It reduces data preparation time by up to 60%.

DirectLake – direct access to data in Power BI

With DirectLake, you can connect predictive models directly to Power BI without the need for additional data processing layers. This not only speeds up the implementation process, but also provides access to up-to-date data in real time.

Business value

The business value of implementing Data Science in Microsoft Fabric

Implementing data science solutions with Microsoft Fabric is not just about advanced technology—it’s about tangible business benefits that have a real impact on your company’s financial and operational results:

Faster decision making

ML models and integration with Power BI enable real-time predictive analytics, reducing response times by up to 40%.

Increasing team effectiveness

Analytics and data science teams work on a shared dataset, eliminating duplication of work and reducing implementation time by up to 30%.

Reduction of operating costs

Automation of analytical processes and improved demand forecasting translate into

Greater data security

Data is processed within a single, consistent platform, without the need to copy or export it – compliance with GDPR policy and corporate standards.

Enrich your data in Lakehouse

Data Science - modern data analysis

The use of modern technologies, in particular machine learning, to detect trends, identify values, and perform predictive analyses based on data, is now a competitive advantage. Microsoft Fabric offers a data science environment to enable users to perform comprehensive analyses to gain valuable insights and grow their business.

Problem definition and concept development
Data discovery and preprocessing
Simple data acquisition and preparation
ML experimentation and modeling
Predictive analytics results can be presented directly in Power BI reports.
Improved insight into your company data

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200 +

completed implementations

500 +

satisfied customers

1000 +

developed analyses

10000 +

trained customers

Create the future through analytics

Data Science in Microsoft Fabric—why is it worth using?

Processing millions of data records in real time

The Data Science service with the Microsoft Fabric platform offers unmatched performance and scalability, enabling you to explore vast data sets at a pace that other solutions cannot match.

Integrated work environment

Microsoft Fabric, together with Data Science, provides a consistent and integrated working environment that enables data analysis, model creation, and solution implementation without the need for multiple tools or platforms.

Data security at the highest level

Thanks to the advanced security mechanisms offered by Microsoft Fabric, all data is protected at the highest level, which is crucial when researching sensitive data.

Advanced machine learning tools

With the Data Science service from Microsoft Fabric, you gain access to advanced machine learning tools that allow you to create complex forecasting and classification models using powerful algorithms.

Flexible implementation options

Data Science, combined with Microsoft Fabric, offers flexible model deployment options, allowing you to adapt them to different environments and business needs and conduct advanced research.

Automation of analytical processes

The Data Science service available on the Microsoft Fabric platform enables the automation of many analytical processes, which speeds up the iterative data analysis cycle and reduces human error.