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• Building a reusable access management layer on Databricks with Python, Notebooks and Genie spacesMay 10, 2026. What if access requests in Databricks could be handled like a real product instead of a manual admin task? In this article, I show how I built a reusable access management with Python, Git backed Databricks repos, notebooks and Genie Spaces to turn business friendly access requests into governed Unity Catalog permissions. The result is a cleaner, auditable and more scalable way to manage access while also validating the end user experience through natural language data exploration.
• Centralizing Collaboration: A Deep Dive into Copilot Notebooks and Copilot PagesMar 13, 2026. Unlock seamless collaboration with Copilot Notebooks & Pages! Dive into research with Notebooks, then build together in real-time with Pages. Master M365!
• Connecting Lakehouses to Fabric Notebooks and Reading Delta TablesFeb 10, 2026. In this article, you will discover how to seamlessly connect Lakehouses to Fabric Notebooks for effortless data access and transformation. Simplify data workflows and boost productivity!
• Jupyter Notebooks in ProductionSep 15, 2025. Explore using Jupyter Notebooks in production environments. While ideal for experimentation and prototyping, direct production use presents challenges like reproducibility and scalability. Discover best practices, including conversion to scripts, version control, and tools like Papermill and Kubeflow, to integrate Jupyter into robust production workflows for reporting, data pipelines, and more. Learn when to leverage Jupyter's strengths and when structured applications are essential.
• Using Jupyter Notebooks for Data Analysis and VisualizationJul 26, 2024. Jupyter Notebooks, also known as IPython Notebooks, are interactive tools for data analysis and visualization. They allow you to combine code, text, mathematics, and plots in a single document. Ideal for data science, machine learning, and research, they support Python libraries like pandas, NumPy, and matplotlib.
• Listing All Datasets Across Workspaces Using Semantic Link in Microsoft Fabric NotebooksJan 17, 2026. In this article, we’ll walk through: What Semantic Link is and why it matters Why Fabric Notebooks are ideal for metadata exploration How to list all datasets across workspaces using Semantic Link Practical use cases for governance and automation
• Mastering PySpark's EXPLODE Function in Fabric NotebooksMay 19, 2025. Learn how to master the EXPLODE function in PySpark using Microsoft Fabric Notebooks. This guide simplifies how to transform nested arrays or maps into separate rows for easier analysis.
• Parameterization In Azure Synapse Analytics NotebooksFeb 01, 2022. In this article, you will learn about parameterization in Azure Synapse Analytics Notebooks.
• Machine Learning - Configuring Windows 10 PC To Run RevoScaleR Within Jupyter NotebooksJan 15, 2021. RevoScaleR library is a collection of portable, scalable, and distributable R functions for importing, transforming, and analyzing data at scale by Microsoft. In this article, we will look at how to configure Jupyter Notebook to use the library.
• Quick Start With Azure NotebooksAug 01, 2019. In this article, you will learn about Azure Notebooks and how to get started with it.
• Extracting ZIP Files in Microsoft Fabric Lakehouse Using Fabric NotebookMay 27, 2026. Learn how to extract ZIP files directly within Microsoft Fabric Lakehouse using a Fabric Notebook, Python, and PySpark. Automate data ingestion and streamline ETL pipelines.
• Listing All DAX Measures in a Fabric Notebook Using Semantic LinkDec 25, 2025. In this article, I demonstrated how to list all DAX measures in Fabric semantic model using Semantic Link (Semp) and a Fabric notebook.
• NotebookLM Explained – How Google’s AI Notebook Is Redefining Knowledge WorkDec 24, 2025. Unlock insights with Google's NotebookLM! This AI notebook analyzes your documents, providing accurate summaries and answers. Revolutionize research and knowledge work.
• How to Import a Notebook into Your Databricks Workspace (Step-by-Step Guide)Dec 05, 2025. Learn how to import notebooks into your Databricks workspace with this step-by-step guide. Master drag-and-drop, URL imports, and more. Start building data workflows quickly!
• Directly Import a Notebook Into a Microsoft Fabric WorkspaceDec 05, 2025. Easily import your existing .ipynb notebooks into Microsoft Fabric! This guide provides a step-by-step process for seamless migration and collaboration within Fabric's unified analytics platform.
• NotebookLlama Guide: AI-Powered Jupyter Notebook Assistant with LlamaIndexSep 30, 2025. Learn how NotebookLlama integrates LlamaIndex into Jupyter Notebooks for AI-driven code assistance, contextual search, and natural language queries. Explore setup, use cases, adoption trends, comparisons, and best practices.
• Variables in JavaScriptJul 09, 2025. Variables in JavaScript are named containers used to store and manage data. Using var, let, or const helps control scope, update values, and make code dynamic, readable, and easy to maintain.
• Modern Data Wrangling with Polars and Delta Lake in Microsoft FabricApr 17, 2025. Learn how to efficiently clean, transform, and manage large datasets with high-performance tools. Discover scalable, fast, and flexible data workflows designed for today’s data engineering needs.
• Viewing the Content of Spark DataFrames in Fabric NotebookApr 02, 2025. Discover techniques to preview, filter, and analyze large datasets using Apache Spark. Whether you're working with PySpark or big data processing, enhance your workflow with efficient DataFrame visualization.
• Creating DataFrames in PySpark Using Fabric NotebookMar 27, 2025. This article walks through defining schemas, specifying column names, and using SQL-like DDL in a Fabric Notebook. Explore StructType, StructField, and various ways to display and verify DataFrame content efficiently.
• Using Spark to Read and Write Data in Microsoft Fabric Data WarehouseMar 10, 2025. Using the Spark Connector for Microsoft Fabric Data Warehouse to enable data engineers to directly read and write data in Fabric Data Wareousing using Spark notebooks. This eliminates the need for complex ETL processes or intermediary storage.
• Installing Jupyter Notebook on DockerDec 27, 2024. Learn how to install and run Jupyter Notebook on Docker, ensuring an isolated, flexible, and reproducible environment for your data science or development projects.
• Generate Bell-Shaped Distribution: PySpark & Matplotlib in Fabric NotebookFeb 05, 2024. Learn how to generate and visualize a bell-shaped or normal distribution using PySpark and Matplotlib in Microsoft Fabric Notebook. Explore the characteristics of a normal distribution, its symmetry, central tendency, and variability.
• Implementing Simple Linear Regression Model in Fabric NotebookJan 12, 2024. This article dives into how to implement a simple linear regression model in Microsoft Fabric Notebook. The main goal of simple linear regression is to find the best-fitting line through the data points that minimizes the sum of the squared differences between the observed values.
• Embed Power BI Report in Microsoft Fabric NotebookDec 26, 2023. In this article, I walked you through how to embed Power BI Report in Microsoft Fabric. This features enable you to version control and collaborate with others by seamlessly integrating your workspace with GitHub through Azure DevOps.
• Fine-Tuning Hyperparameters using Hyperdrive in Azure Machine Learning SDKJun 22, 2023.
• Building Azure ML Pipelines using the Azure Machine Learning SDKJun 21, 2023. In this article, you will follow the process of using the Azure ML SDK to build a pipeline for training and modeling.
• Is Your Intellisense Working In Jupyter NotebookSep 07, 2022. This article will help you to make your intellisense back to working condition.
• Azure Machine Learning - Writing Python Script In Notebook Mar 16, 2022. In this article, we'll learn about Azure ML.
• Create Synapse Notebook And Run Python And SQL Under Spark PoolJan 25, 2022. In this article, you will learn how to create synapse notebook and run python and SQL under spark pool.
• How To Clone Git Repository In AWS Notebook InstancesSep 08, 2021. In this article, we’ll learn how to clone repositories from GitHub using git clone which will enable us to run the repo on the notebook instance created in AWS. This will become highly beneficial to Machine Learning Engineers and Data Scientists looking to explore the notebooks from other creators in the production environment without having to install all packages and libraries on their local notebook.
• Creating Notebook Instance In Amazon SageMaker Sep 07, 2021. We learnt about Amazon SageMaker and Connecting AWS to Visual Studio Code in the previous articles, AWS SageMaker and How To Connect VS Code To AWS. In this article, we’ll learn to set up the notebook instance in Amazon SageMaker.
• UNION In PySpark SQLAug 05, 2021. In this article, you will learn about UNION In PySpark SQL.
• House Price Prediction with Machine Learning Using Jupyter NotebookMar 02, 2020. In this article, we use a dataset to train the machine and test data to predict the price
• JuPyteR🐍 Notebook/Console Tricks🎲 & Short-Cuts🗝️ Jan 02, 2020. In this article, we will learn about the tricks and shortcuts of the IDE - Jupyter. All the shortcuts are very interesting and easy to remember. The major features of this console are also very important things to know as a developer.
• Azure Jupyter Notebook📋 With Azure ML StudioDec 30, 2019. In this article, we will focus on how to get started Azure ML Notebook. Moreover, we will discuss why we use Azure ML services with a simple demo.
• Create And Share Azure NotebookAug 21, 2019. In this article, you will learn how to create and share Azure Notebooks.
• Setting Up First Machine Learning Environment Using Anaconda NavigatorNov 18, 2018. I will demonstrate how to set your first Machine learning environment using Anaconda navigator. Anaconda is an open source and free distribution of R and Python programming language for a machine learning as well as data science projects. Therefore, it is known as a professional data science platform. It contains a powerful environment manager, which provides a different type of Python environment such as a Spyder, Jupyter notebook, and so on.
• Notebook in SharePoint 2013 And Office 365Oct 20, 2014. In this article you will learn about your notebook in SharePoint 2013.
• An Open Source Project in jQuery: R NoteBookOct 12, 2014. This article provides an Open Source R NoteBook Project in JQuery.