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Showing posts from June, 2024

Notebook in Microsoft Fabric

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 Understanding Microsoft Fabric Notebook In the Microsoft Fabric ecosystem, one of the crucial objects is the Notebook. If you’re not familiar with Azure Notebooks, you might wonder: what exactly is a Notebook, and why should you use it? This article will answer those questions. What is a Notebook? Within Microsoft Fabric, there are various tools tailored for different user roles. For instance, citizen data analysts might use Dataflows and Power BI Datasets to build data models. For data engineers and data scientists, the Notebook is an invaluable tool. A Notebook is an environment where you can write and execute code in languages such as PySpark (Python), Spark (Scala), Spark SQL, and SparkR (R). These languages are commonly used by data engineers and data scientists. The Notebook provides an editor where you can write code, run it, and view the results all in one place. Think of it as the primary coding tool for data engineers and scientists. The output generated by Notebook code...

Data Pipelines in Microsoft Fabric

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   Data Pipelines in Microsoft Fabric Microsoft Fabric offers a range of features to elevate your data analytics experience, including the Data Pipeline, built from Azure Data Factory. Even if you're used to working with Power Query Dataflows, the addition of Data Pipelines brings substantial value and enriches the overall experience. In this piece, we will delve into what a Data Pipeline entails within Microsoft Fabric Data Factory and present a straightforward example to demonstrate its application. What is a Data Pipeline or Data Factory Pipeline? A Data Pipeline or Data Factory Pipeline, originating from Azure Data Factory, is essentially a set of activities organized into a workflow. For instance, you could design a process that entails running a Dataflow repeatedly until a specific condition is satisfied. Based on the outcome of each iteration, you can automate tasks such as sending an email, copying data, or executing a stored procedure. If you're acquainted with SQL Se...

What is Lakehouse in Microsoft Fabric?

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Lakehouse in Microsoft Fabric Microsoft Fabric is a comprehensive data and analytics Software-as-a-Service (SaaS) cloud offering by Microsoft. One of its essential components is the Lakehouse. What is Microsoft Fabric ? Microsoft Fabric is an end-to-end data and analytics SaaS cloud suite recently introduced by Microsoft. It provides a structured approach to data storage and management. For a detailed understanding, you can refer to my previous article on the topic. Introduction to Lakehouse The term "Lakehouse" merges the concepts of Data Lake and Data Warehouse. It serves as a unified storage location for both structured data (like in a Data Warehouse) and unstructured data (as in a Data Lake). The Lakehouse can scale to handle extensive data volumes and integrates seamlessly with other tools and services for data manipulation and retrieval. In simpler terms, a Lakehouse functions like a database where you can store both tables and files. Creating a Sample Lakehouse A Lakeh...

Microsoft Fabric Licensing: A Comprehensive Guide

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 Microsoft Fabric Licensing: A Comprehensive Guide Microsoft Fabric is a comprehensive software-as-a-service (SaaS) solution for data analytics, developed by Microsoft. It encompasses a wide range of workloads including Data Integration, Warehousing, Engineering, Business Intelligence, Data Science, and Real-time Analytics.  A common concern among users is understanding the pricing and how much they should budget for this platform. This guide will delve into the licensing details to address all your queries. What is Microsoft Fabric? Microsoft Fabric is an all-encompassing Data Analytics platform offered as a SaaS by Microsoft. It integrates multiple workloads to provide services related to data analytics, such as data integration, storage, data warehousing, data engineering, business intelligence, and data science. To know more in detail checkout this blog: Microsoft Fabric Understanding Fabric's Capacity Structure To grasp the licensing model for Microsoft Fabric, it's essen...

How to Enable Microsoft Fabric Trial for Your Tenant

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 How to Enable Microsoft Fabric Trial for Your Tenant Have you heard about the exciting new features of Microsoft Fabric announced at Microsoft Build 2023? (If not then checkout the blog: What is Microsoft Fabric ) If you're eager to get an early hands-on experience with Microsoft Fabric, here's a step-by-step guide on how to enable it for your tenant.  Step 1: Access the Power BI Admin Portal The simplest way to enable Microsoft Fabric is through the Power BI Admin portal. This task should be performed by your Power BI tenant administrator or Office 365 tenant administrator. Step 2: Navigate to Tenant Settings Once you're in the Power BI Admin portal, locate the Tenant Settings section. Here, you'll find the option for Microsoft Fabric (Preview) at the top of the list. Step 3: Enable Microsoft Fabric Enable the Microsoft Fabric (Preview) setting. You have the choice to activate it for your entire organization or restrict it to a specific security group, depending on yo...

Microsoft Fabric: A New Era of Integrated Data Solutions

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  Microsoft Fabric: A New Era of Integrated Data Solutions You might have heard the buzz from Microsoft Build 2023, where the Microsoft Data and Analytics Platform team announced an exciting new service: Microsoft Fabric. In this article, I'll explain what Microsoft Fabric is, why it matters, and share my thoughts on its potential impact on the data analytics market. Simplifying Complexity Data analytics is a complex field with numerous products and services, especially within Microsoft's ecosystem. Here are just a few: Azure Synapse Analytics Power BI Azure Data Factory And many more… This list doesn't even touch on AI, machine learning, or databases, which would push the count to over 30 products from Microsoft alone. When you factor in offerings from other providers like AWS and SAP, the number skyrockets past 100. Managing this complexity is a significant challenge for data analytics departments. Learning about each product and navigating their licensing plans can be ov...