Data Science in Microsoft Fabric enables data analysts to seamlessly work with the same secure and managed data that has been prepared by data engineering teams. This eliminates the need for data copying and devising ways to provide data science specialists with secure access to critical information.
In Microsoft Fabric, the open support of Delta Lake allows data science professionals to version data sets for creating repeatable machine learning code. Additionally, data analysis users have access to a wide range of user-friendly starter interfaces, low-code tools, and code creation environments through applications like Notebooks and Visual Studio Code.
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 learners can create batch prediction scripts and utilize the scalable PREDICT feature to expedite the process.
Data science is a powerful tool for unlocking data value in the analytical workflow of any organization. By utilizing data science, companies can make more informed decisions and gather predictive data that would otherwise be unattainable.
The application of modern technologies, especially machine learning, for detecting trends, identifying values, and predictive analysis based on data, is now a competitive advantage. Microsoft Fabric offers a data science environment to enable users to perform comprehensive analysis to acquire valuable insights and business development.
200 +
successful implementations500 +
satisfied customers1000 +
developed analyses10000 +
trained customersThe Data Science service in the Microsoft Fabric platform offers unparalleled performance and scalability, enabling the exploration of vast data sets at a pace that other solutions cannot achieve.
Microsoft Fabric along with Data Science provides a cohesive and integrated workspace that enables data analysis, model creation, and solution deployment without the need for multiple tools or platforms.
By applying advanced security mechanisms offered by Microsoft Fabric, all data is protected at the highest level, which is crucial for sensitive data analysis
With the Data Science service in Microsoft Fabric, you gain access to advanced machine learning tools, allowing you to create complex forecasting and classification models using powerful algorithms.
The Data Science service in combination with Microsoft Fabric offers flexible model deployment options, allowing customization for different environments and business needs, as well as conducting advanced research.
The Data Science service available on the Microsoft Fabric platform allows the automation of many analytical processes, speeding up the iterative data analysis cycle and reducing human errors.
Meet Microsoft Fabric - an innovative all-in-one analytics platform that integrates Power BI, Azure Synapse and Azure Data Factory.
Discover how Microsoft Fabric, an advanced analytics platform based on artificial intelligence, is revolutionising data analysis.
The current business market poses many challenges for companies, and one of the key elements for success is the skilful use of available data.
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In today’s dynamic business landscape, harnessing the full potential of data is no longer a luxury but a necessity. As organisations grapple with vast amounts of data from diverse sources, having a comprehensive tool that seamlessly integrates various services becomes paramount. Enter Microsoft Fabric – a revolutionary platform that converges data lake, data engineering, data […]
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Data analysis enables companies to extract valuable insights, identify trends and make sound decisions.
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The European Microsoft Fabric Community Conference will take place in Stockholm at the end of September 2024 – one of the most important events in Europe, which brings together specialists from the data analysis, artificial intelligence and cloud solutions industries. The conference will take place from 24 to 27 September in the prestigious exhibition hall, Stockholmsmässan, gathering enthusiasts of Microsoft Fabric technology from all over the continent.
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