Data Connectivity modes in Power BI Desktop

Power BI Desktop provides different data connectivity modes for various data sources, each with its own set of features and limitations. These data connectivity modes include Import, DirectQuery, and Live Connection. Import Mode: In Import mode, all the data is stored in Power BI Desktop, providing offline access to the data. This mode supports Data […]

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load data in power BI desktop

Power BI Desktop is the powerful business intelligence tool developed by Microsoft. It supports to connect multiple data sources, data modeling, data reshaping and transformation, interactive visualizations, and perform advanced data analytics. Power BI desktop version is free, users can download and use the application for free. However, for the full-functional web-based services, user license

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Self-Service Business Intelligence(BI) and Its Importance

Self-service BI (business intelligence) refers to a set of tools, technologies, and processes that enable non-technical users to create their own reports, dashboards, and analytics without requiring the assistance of IT professionals or data analysts. These tools typically include user-friendly interfaces and drag-and-drop functionality, allowing users to easily access and manipulate data from a variety

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The Importance of BI Tools for Data Scientists

Business Intelligence (BI) tools provide data scientists with a powerful set of capabilities for managing and analyzing data, which enables them to make data-driven decisions that can have a significant impact on business outcomes. BI tools help data scientists to efficiently process large amounts of data, visualize data in meaningful ways, and identify patterns and

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Introduction To Convolutional Neural Network

A Convolutional Neural Network (CNN) is a type of deep neural network that is commonly used in computer vision tasks such as image classification, object detection, and segmentation. CNNs are inspired by the way the human brain processes visual information and are designed to automatically learn hierarchical representations of features from raw input data. The

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Introduction to Machine Learning

The term Machine Learning was coined by Arthur Samuel in 1959, an American pioneer in the field of computer gaming and artificial intelligence, and stated that “it gives computers the ability to learn without being explicitly programmed”. Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand

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