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Power BI is a business analytics tool by Microsoft that is used to turn raw data into meaningful insights through interactive reports and dashboards. It helps businesses make informed decisions by visually analyzing data in a simple and user-friendly way. Power BI can connect to a wide range of data sources like Excel, SQL databases, cloud services, and web APIs, allowing users to bring all their data into one platform.
With its drag-and-drop features and powerful DAX formulas, users can create custom visuals, perform calculations, and build real-time dashboards without needing advanced programming skills. Power BI is widely used for tracking key performance indicators (KPIs), analyzing sales trends, financial forecasting, customer behavior analysis, and more.
It is valuable across industries like finance, retail, healthcare, education, and manufacturing. Overall, Power BI helps organizations become more data-driven by making analytics accessible, fast, and actionable for everyone — from beginners to data professionals.
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Yes, Python is well-suited for web programming. It offers several frameworks like Django, Flask, and FastAPI, which streamline web development. Django is a full-featured framework that includes tools for building robust, scalable applications, while Flask is a lightweight framework that allows for greater flexibility and control. FastAPI is known for its performance and is ideal for building APIs.

Python’s readability and concise syntax make it easy to learn and use, which helps speed up development. Additionally, its extensive libraries and strong community support provide solutions for common web development tasks such as database interaction, form handling, and authentication. Python's versatility and ease of use make it a popular choice for both beginners and experienced developers in web programming.

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In SAP FICO, masking refers to the technique of hiding or obscuring sensitive financial data to ensure data privacy and security. This is particularly important for compliance with data protection regulations like GDPR. Masking can be applied to various fields such as account numbers, customer details, and transaction amounts. It ensures that only authorized users can view sensitive information, while others see masked or anonymized data. This helps prevent unauthorized access and potential data breaches. Implementing data masking in SAP FICO involves configuring roles and authorizations, and using tools or enhancements to apply masking rules to specific data fields in financial transactions and reports.

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