{"id":35999,"date":"2025-10-10T07:53:00","date_gmt":"2025-10-10T05:53:00","guid":{"rendered":"https:\/\/msfabric.pl\/?p=35999"},"modified":"2025-10-08T14:28:54","modified_gmt":"2025-10-08T12:28:54","slug":"automation-and-prediction-with-microsoft-fabric-and-python","status":"publish","type":"post","link":"https:\/\/msfabric.pl\/en\/blog\/education\/automation-and-prediction-with-microsoft-fabric-and-python","title":{"rendered":"Automation and prediction with Microsoft Fabric and Python\u00a0"},"content":{"rendered":"\n<p>Have you ever wondered how to combine the flexibility of Python with the analytical power of Microsoft Fabric? This duo is increasingly becoming the foundation of modern Business Intelligence projects.&nbsp;<\/p>\n\n\n\n<p><a href=\"https:\/\/msfabric.pl\/en\/microsoft-fabric\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Microsoft Fabric<\/strong><\/a> is a comprehensive analytics platform that unifies data from multiple sources \u2014 from ERP systems and Excel spreadsheets to cloud-based datasets. Thanks to this, business teams can work on a single, consistent source of truth.&nbsp;<br>Python, on the other hand, has long been the undisputed leader in the world of data analysis and automation. It enables not only data cleaning and transformation but also the creation of predictive models and advanced visualizations.&nbsp;<\/p>\n\n\n\n<p>By combining these two technologies, you open the door to new possibilities:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Analyze large datasets directly within the Microsoft Fabric environment,\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Create your own Python scripts and models,\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Instantly visualize results in Power BI.\u00a0<\/li>\n<\/ul>\n\n\n\n<p>In this article, we\u2019ll explore why integrating <strong>Microsoft Fabric and Python<\/strong> is a step toward a more intelligent, <strong>data-driven business<\/strong> approach. You\u2019ll also see how these tools work together to make daily data analysis in companies easier and more efficient.&nbsp;<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/msfabric.pl\/wp-content\/uploads\/2025\/10\/fabric-architecture.png\"><img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"436\" src=\"https:\/\/msfabric.pl\/wp-content\/uploads\/2025\/10\/fabric-architecture.png\" alt=\"\" class=\"wp-image-35994\" srcset=\"https:\/\/msfabric.pl\/wp-content\/uploads\/2025\/10\/fabric-architecture.png 800w, https:\/\/msfabric.pl\/wp-content\/uploads\/2025\/10\/fabric-architecture-300x164.png 300w, https:\/\/msfabric.pl\/wp-content\/uploads\/2025\/10\/fabric-architecture-768x419.png 768w\" sizes=\"(min-width: 960px) 75vw, 100vw\" \/><\/a><\/figure>\n<\/div>\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Microsoft Fabric \u2013 a quick overview of its capabilities&nbsp;<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Before we dive into practice, let\u2019s clarify what Microsoft Fabric actually is. It\u2019s a platform that unifies different areas of data processing and analytics across the <strong>Microsoft Azure<\/strong> and <strong>Power BI<\/strong> ecosystems.&nbsp;<\/p>\n\n\n\n<p>Within a single environment, you\u2019ll find:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Factory<\/strong> \u2013 for data integration and automation of data pipelines,\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Engineering<\/strong> \u2013 for data preparation and transformation,\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Science<\/strong> \u2013 for analytics and modeling using languages like Python or R,\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Real-Time Intelligence<\/strong> \u2013 for analyzing data in real time,\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Power BI<\/strong> \u2013 for visualizing results and reporting.\u00a0<\/li>\n<\/ul>\n\n\n\n<p>The biggest advantage of Fabric? Everything is seamlessly connected. Data from various local and cloud sources is gathered in one place, where you can analyze, merge, and share it through interactive reports.&nbsp;<\/p>\n\n\n\n<p>That\u2019s why <strong>Microsoft Fabric<\/strong> is more than just an analytics platform \u2014 it\u2019s a <strong>central data management hub<\/strong> for your organization.&nbsp;<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">The role of Python in the Fabric ecosystem&nbsp;<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Have you ever thought, <em>\u201cOkay, I already have my data in <\/em><a href=\"https:\/\/msfabric.pl\/en\/power-bi\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Power BI<\/em><\/a><em>, but I\u2019d like to do more \u2014 maybe predict future sales or build my own scoring model?\u201d<\/em> That\u2019s exactly when <strong>Python in Microsoft Fabric<\/strong> steps in.\u00a0<\/p>\n\n\n\n<p>Python is currently the most versatile analytics tool \u2014 it\u2019s perfect for both simple data analysis and advanced <strong>machine learning<\/strong> projects. Since <strong>Microsoft Fabric natively supports Python<\/strong>, you can combine the convenience of a BI platform with the flexibility of Python scripts.&nbsp;<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">So, what can you actually do with Python in Fabric?&nbsp;<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data analysis<\/strong> \u2013 with libraries like <em>pandas<\/em> and <em>numpy<\/em>, you can quickly clean and transform your data.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Machine learning<\/strong> \u2013 using <em>scikit-learn<\/em>, you can build predictive models that help you better understand business trends.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Visualizations<\/strong> \u2013 with <em>matplotlib<\/em> or <em>seaborn<\/em>, you can create custom charts to complement your Power BI reports.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Automation<\/strong> \u2013 Python enables you to automate repetitive processes such as data processing or report generation.\u00a0<\/li>\n<\/ul>\n\n\n\n<p>This flexibility is exactly what makes Python the perfect complement to <strong>Microsoft Fabric<\/strong>. Wherever standard reporting capabilities end, the world of scripts, models, and custom analytics begins.&nbsp;<\/p>\n\n\n\n<p>Imagine this: your real-time sales data flows into Fabric, and Python automatically analyzes it to forecast demand for the upcoming week. The result? Faster business decisions and fewer intuitive guesses.&nbsp;<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">How to connect Microsoft Fabric with Python in practice&nbsp;<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Sounds great, right? But how does it work in practice? The integration between <strong>Microsoft Fabric and Python<\/strong> is easier than you might think.&nbsp;<\/p>\n\n\n\n<p>Here are a few ways to do it:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Fabric Notebooks<\/strong> \u2013 a built-in environment where you can write code in Python (or R), analyze data, and visualize results instantly. Perfect for experiments and proof-of-concept projects.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Factory and Data Engineering<\/strong> \u2013 when building ETL processes, Python can serve as an additional processing step, for example to clean, transform, or apply predictive algorithms.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data import and export<\/strong> \u2013 Fabric allows smooth data flow between environments. For example, you can pull data from a <em>Data Lakehouse<\/em>, process it in Python, and then load it back into Fabric.\u00a0<\/li>\n<\/ul>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Now, picture this workflow:&nbsp;<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>You import sales data from your ERP system into <strong>Microsoft Fabric<\/strong>.\u00a0<\/li>\n<\/ol>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li>You run a <strong>Python script<\/strong> that analyzes the data and predicts sales for the next 30 days.\u00a0<\/li>\n<\/ol>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\">\n<li>The results are instantly visualized in <strong>Power BI<\/strong>, allowing your management team to view insights in real time.\u00a0<\/li>\n<\/ol>\n\n\n\n<p>And the best part? The entire process happens within a single environment \u2014 no need to switch between multiple tools or platforms.&nbsp;<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><a href=\"https:\/\/msfabric.pl\/wp-content\/uploads\/2025\/10\/Kopia-\u2013-msfabric.pl-28.08.25.png\"><img decoding=\"async\" width=\"792\" height=\"600\" src=\"https:\/\/msfabric.pl\/wp-content\/uploads\/2025\/10\/Kopia-\u2013-msfabric.pl-28.08.25.png\" alt=\"\" class=\"wp-image-35996\" style=\"width:664px;height:auto\" srcset=\"https:\/\/msfabric.pl\/wp-content\/uploads\/2025\/10\/Kopia-\u2013-msfabric.pl-28.08.25.png 792w, https:\/\/msfabric.pl\/wp-content\/uploads\/2025\/10\/Kopia-\u2013-msfabric.pl-28.08.25-300x227.png 300w, https:\/\/msfabric.pl\/wp-content\/uploads\/2025\/10\/Kopia-\u2013-msfabric.pl-28.08.25-768x582.png 768w\" sizes=\"(min-width: 960px) 75vw, 100vw\" \/><\/a><\/figure>\n<\/div>\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Use case: sales prediction with Microsoft Fabric and Python&nbsp;<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Have you ever wondered how <strong>Microsoft Fabric and Python<\/strong> can actually be used together in practice? Let\u2019s take a look at one of the most common business scenarios \u2014 <a href=\"https:\/\/msfabric.pl\/en\/microsoft-fabric-in-sale\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>sales forecasting<\/strong><\/a>, a topic that\u2019s becoming increasingly important for BI teams and sales managers alike.&nbsp;<\/p>\n\n\n\n<p>Imagine a retail company that collects data from multiple sources: ERP, e-commerce, and CRM systems. All this data flows into <strong>OneLake in Microsoft Fabric<\/strong>, where it\u2019s cleaned, transformed, and combined into a single, consistent data model. Then, in <strong>Data Factory<\/strong>, a pipeline is built to automatically fetch new sales data each day.&nbsp;<\/p>\n\n\n\n<p>This is where <strong>Python<\/strong> comes in. Thanks to its integration with Fabric, an analyst can write a simple <strong>Jupyter notebook<\/strong> script that runs a <strong>machine learning model<\/strong> predicting future sales based on historical data, seasonality, and marketing campaigns. The model\u2019s results \u2014 sales forecasts for the upcoming weeks \u2014 are then saved back into the data lake.&nbsp;<\/p>\n\n\n\n<p>What happens next? These predictions flow directly into <strong>Power BI<\/strong>, where they\u2019re displayed as interactive visualizations. As a result, sales managers can see not only current performance but also <strong>forecasted trends<\/strong>, helping them plan budgets and make smarter inventory decisions.&nbsp;<\/p>\n\n\n\n<p>That\u2019s the power of combining <strong>Fabric and Python<\/strong> \u2014 turning raw data into ready-to-use forecasts and insights, all within one unified environment.&nbsp;<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Business benefits of integrating Fabric and Python&nbsp;<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Combining <strong>Microsoft Fabric and Python<\/strong> isn\u2019t just a tech experiment \u2014 it brings real, measurable benefits for analytics teams and decision-makers who want to work faster and smarter.&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Faster data processing<\/strong> \u2013 Fabric enables parallel processing of large datasets, while Python allows for rapid modeling and testing of machine learning algorithms.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/msfabric.pl\/en\/blog\/education\/process-automation-using-microsoft-fabric-rest-api\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Automation of reporting<\/strong><\/a><strong> and forecasting<\/strong> \u2013 Instead of manually refreshing reports, you can set up a pipeline that automatically updates forecasts and Power BI dashboards.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Greater flexibility and scalability<\/strong> \u2013 Python provides full analytical control, and Fabric lets you run your processes in the cloud \u2014 no need to worry about infrastructure.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Better business decisions<\/strong> \u2013 Teams can react faster to market changes thanks to real-time insights and forecasts.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Time savings for analysts<\/strong> \u2013 Less manual work, more focus on interpreting results and creating recommendations for business teams.\u00a0<\/li>\n<\/ul>\n\n\n\n<p>In short, <strong>integrating Fabric with Python<\/strong> combines the <strong>speed of the cloud<\/strong> with the <strong>flexibility of code<\/strong>. In practice, it\u2019s the key to turning your company into a truly <strong>data-driven organization<\/strong> \u2014 not just one that talks about it.&nbsp;<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Summary&nbsp;<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>The integration of <strong>Microsoft Fabric and Python<\/strong> opens a new chapter in modern data analytics. It allows organizations not only to collect and process large volumes of data but also to easily apply <strong>predictive analytics<\/strong> and <strong>machine learning<\/strong> in everyday business processes.&nbsp;<\/p>\n\n\n\n<p>Within a single environment \u2014 from data integration in <strong>OneLake<\/strong>, through <strong>Python-based modeling<\/strong>, to <strong>visualization in Power BI<\/strong> \u2014 teams gain a consistent, scalable, and flexible ecosystem for working with data.&nbsp;<\/p>\n\n\n\n<p>This setup enables a shift from traditional reporting to <strong>predictive, <\/strong><a href=\"https:\/\/msfabric.pl\/en\/blog\/education\/how-microsoft-fabric-supports-data-driven-strategies-in-companies\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>data-driven<\/strong><\/a><strong> decision-making<\/strong>, where choices are based not only on what has already happened, but also on what is likely to happen next.&nbsp;<\/p>\n\n\n\n<p>If you\u2019ve been using Power BI or Python separately, now is the perfect time to <strong>experiment with their integration in Microsoft Fabric<\/strong>.&nbsp;<\/p>\n\n\n\n<p>Want to learn how to leverage the full potential of <strong>Microsoft Fabric and Python<\/strong> in your organization? <a href=\"https:\/\/msfabric.pl\/en\/contact\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Contact us<\/strong> \u2014 we\u2019ll help you design a solution tailored to your data<\/a>.&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Have you ever wondered how to combine the flexibility of Python with the analytical power of Microsoft Fabric? This duo is increasingly becoming the foundation of modern Business Intelligence projects.&nbsp; Microsoft Fabric is a comprehensive analytics platform that unifies data from multiple sources \u2014 from ERP systems and Excel spreadsheets to cloud-based datasets. Thanks to [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":36220,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[109],"tags":[260,112],"class_list":["post-35999","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education","tag-automation","tag-microsoft-fabric-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Automation and prediction with Microsoft Fabric and Python\u00a0 | MS Fabric<\/title>\n<meta name=\"description\" content=\"Discover how combining Microsoft Fabric and Python enables sales forecasting, automated analytics, and smarter business decisions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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