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Showing posts with the label Data Warehouse

Machine Learning Basics for Tech Beginners

In today’s world, Machine Learning (ML) has become one of the most exciting and fast-growing fields in technology. It is used in almost every area of life — from online shopping and self-driving cars to email spam filters and voice assistants like Alexa or Siri. But what exactly is Machine Learning, and how does it work? In this ultra-long blog, we will explain the basics of Machine Learning in simple English so that even a beginner can easily understand it. What is Machine Learning? Machine Learning is a branch of Artificial Intelligence (AI) that allows computers to learn from data and make decisions without being directly programmed. In simple words, it means teaching a computer how to learn from experience. For example, when you show a computer many pictures of cats and dogs, it will start recognizing the difference between them. Later, when you show a new picture, it can tell whether it’s a cat or a dog — even if it has never seen that picture before. That’s the power of Machin...

What Is a Data Warehouse?

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A data warehouse is a centralized repository that stores structured and semi-structured data from various sources within an organization. Think of it as a single, comprehensive source of truth for all your business data. Key Characteristics of a Data Warehouse: Centralized: Information is combined from several sources into one cohesive place, such as web servers, social media, point-of-sale (POS) systems, and customer relationship management (CRM) systems. Subject-Oriented: Rather than being arranged according to departmental silos or applications, data is arranged according to certain business subjects, such as clients, goods, sales, and finance. Integrated: To guarantee data accuracy and uniformity throughout the company, data from several sources is combined into a common format. Time-Variant: By storing historical data, data warehouses provide forecasting, trend analysis, and a knowledge of how company performance has changed over time. Read-Only: Analysis and reporting are the m...

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