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What is Power Query Editor in PowerBI In the world of data analytics, Power BI stands out for its robust visualization and reporting capabilities. But before you build stunning dashboards, your data often needs some cleaning and transformation. That’s where the Power Query Editor comes in! 🔍 What is Power Query Editor? The Power Query Editor in Power BI is a powerful data transformation tool that allows you to: Connect to various data sources, including Excel, SQL Server, web pages, and more. Clean and transform data through filtering, sorting, and merging datasets. Shape data using features like pivoting, unpivoting, and splitting columns. 💡 Key Features: Data Transformation: Automate data cleansing with a simple, user-friendly interface. M Code: The editor generates M code for every transformation, giving advanced users the flexibility to customize processes. Applied Steps Pane: A visual history of every change made, with the ability to undo or modify steps. 🚦 When to Use It: When...

ChatGPT vs. DeepSeek ChatGPT (by OpenAI) and DeepSeek (by DeepSeek AI) are both advanced AI models, but they have key differences in their capabilities, focus areas, and accessibility . 1. Training & Architecture ✔ ChatGPT: Based on OpenAI’s GPT architecture (e.g., GPT-4), trained on diverse datasets, optimized for conversation, content creation, and problem-solving. ✔ DeepSeek: A newer model, reportedly trained on a massive dataset, including open-source code and Chinese-specific data, making it strong in coding and bilingual tasks . 2. Strengths & Use Cases 🔹 ChatGPT: ✅ Strong in general knowledge, creativity, and structured writing (articles, scripts, summaries). ✅ Well-optimized for conversational AI, business use, and Power BI-related tasks . ✅ Has better contextual understanding across different industries. 🔹 DeepSeek: ✅ Excels in coding and AI development , especially with open-source programming tasks. ✅ Strong in Chinese language processing , making it a great op...

Earning  ₹100,000 per month from home Earning ₹100,000 per month from home is achievable with the right skills and strategy. Here are some practical ways to do it: 1️⃣ Freelancing (₹50,000 - ₹200,000/month) 💻 Platforms: Upwork, Fiverr, Freelancer 📌 Skills in demand : Graphic Design, Web Development, Content Writing, Video Editing, Digital Marketing, and Power BI Consulting. 🔹 Tip : Start with small gigs, build reviews, and charge higher rates over time. 2️⃣ Start a YouTube Channel (₹50,000 - ₹500,000/month) 🎥 Niche Ideas : Tech Tutorials, Finance, Power BI & Data Analytics, or Online Teaching. 💰 Earn from AdSense, Sponsorships, and Affiliate Marketing . 🔹 Tip : Post consistently, focus on engaging content, and monetize through multiple streams. 3️⃣ Blogging & Affiliate Marketing (₹30,000 - ₹200,000/month) 📝 Create a blog on tech, finance, fitness, or career growth . 💰 Monetize with Google AdSense, affiliate marketing (Amazon, Flipkart, Coursera), and sponsored pos...

Benefits of Learning OneLake for Power BI Developers OneLake , a core component of Microsoft Fabric , is a unified, enterprise-grade data lake that allows Power BI developers to store, manage, and analyze data more efficiently . It eliminates traditional data silos and integrates seamlessly with Power BI, making it an essential skill for modern BI professionals . 1️⃣ No More Data Duplication – Single Source of Truth 🔹 OneLake acts as a centralized data repository , allowing Power BI to access data without importing or duplicating it . 🔹 This means less storage consumption , improved data integrity, and reduced maintenance overhead. ✅ Benefit: Consistent, real-time access to the latest data across all reports and dashboards. 2️⃣ Direct Integration with Power BI (Direct Lake Mode) 🔹 Power BI can connect to OneLake using Direct Lake Mode , a new hybrid between Import Mode and DirectQuery . 🔹 It provides the speed of Import Mode while maintaining live data access like DirectQuery —w...

 आम भारतीयों के लिए ChatGPT के फायदे 1️⃣ शिक्षा में सहायता 🎓 छात्रों को गणित, विज्ञान, इतिहास आदि में मदद करता है। निबंध, नोट्स, प्रश्नोत्तरी तैयार करने में उपयोगी। 2️⃣ करियर और जॉब तैयारी 💼 इंटरव्यू प्रश्नों के उत्तर, रिज़्यूमे और कवर लेटर लिखने में मदद। SSC, UPSC, बैंकिंग और IT परीक्षाओं के लिए तैयारी में सहायक। 3️⃣ व्यापार और स्टार्टअप सपोर्ट 🚀 बिजनेस आइडिया , मार्केटिंग प्लान और सोशल मीडिया पोस्ट बनाने में मदद। ग्राहक सेवा और ईमेल लेखन को ऑटोमेट करने में सहायक। 4️⃣ भाषा अनुवाद और सुधार 📝 अंग्रेजी-हिंदी अनुवाद और ग्रामर सुधार के लिए उपयोगी। प्रोफेशनल ईमेल और रिपोर्ट लिखने में मदद। 5️⃣ टेक्नोलॉजी और कोडिंग हेल्प 💻 Python, SQL, DAX जैसी भाषाओं में प्रोग्रामिंग सहायता। वेबसाइट और ऐप डेवलपमेंट में गाइड करता है। 6️⃣ स्वास्थ्य और फिटनेस टिप्स 🏋️‍♂️ डाइट प्लान, योगासन, होम रेमेडीज जैसी जानकारियाँ देता है। मानसिक स्वास्थ्य और मोटिवेशनल सुझाव। 7️⃣ यात्रा और वित्तीय योजना ✈️ बजट ट्रिप, इन्वेस्टमेंट और सेविंग्स के लिए सुझाव। टैक्स और सरकारी योजनाओं की जानकारी। अगर ...

  What is OneLake in Microsoft Fabric? OneLake is a unified, built-in data lake for Microsoft Fabric, designed to store, manage, and analyze data across multiple workloads seamlessly. It serves as a centralized data repository , eliminating the need for multiple storage solutions. OneLake simplifies data management by integrating with various Fabric services , such as Data Engineering, Data Factory, Synapse, and Power BI . Key Features of OneLake 1️⃣ Unified Storage Acts as a single, logical data lake for the entire organization. No need to create separate storage accounts for different workloads. 2️⃣ Built-in Lakehouse Architecture Supports Delta Tables and Parquet files , ensuring compatibility with modern data processing frameworks. Enables real-time analytics across structured and unstructured data. 3️⃣ Shortcuts for External Data Allows linking to Azure Data Lake Storage (ADLS), AWS S3 , and other external sources without moving data. Reduces data duplication and simplifi...

Tools Available in Microsoft Fabric Microsoft Fabric is an end-to-end data and analytics platform that integrates multiple Microsoft services under one unified framework. It provides tools for data engineering, data science, real-time analytics, and business intelligence . Here are the key tools available in Microsoft Fabric: 1️⃣ Data Engineering 🔹 Lakehouse – Combines a data lake and a warehouse for efficient data management. 🔹 Notebooks – Supports Python, SQL, and Spark for data transformation and analytics. 🔹 Pipelines – Similar to Azure Data Factory , used for orchestrating ETL processes. 2️⃣ Data Warehousing 🔹 Fabric Warehouse – A scalable data warehouse using Synapse SQL for structured data storage. 🔹 Direct Lake Mode – Enables high-speed data access for Power BI without importing data. 3️⃣ Data Science & AI 🔹 Data Science Experience – Supports ML models , AutoML, and integration with Azure ML . 🔹 Spark Compute – Runs large-scale machine learning and AI wor...

Top 15 Microsoft Fabric Interview Questions and Answers[2025] 1. What is Microsoft Fabric? ✅ Answer: Microsoft Fabric is an end-to-end, unified analytics platform that integrates data engineering, data science, real-time analytics, and business intelligence. It is built on OneLake , a unified data storage system, and supports Power BI, Synapse, and Data Factory for seamless data management. 2. What are the key components of Microsoft Fabric? ✅ Answer: Microsoft Fabric consists of the following components: Data Factory – For data integration and ETL. Synapse Data Engineering – Supports Spark-based big data processing. Synapse Data Science – For AI/ML model development. Synapse Data Warehouse – Serverless and dedicated SQL-based data storage. Synapse Real-Time Analytics – Handles streaming and IoT data. Power BI – For business intelligence and visualization. OneLake – A single storage layer across all workloads. 3. How does Microsoft Fabric differ from Azure Synapse Analytics? ✅ A...