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Introduction to Big Data: Understanding the Power of Data in the Digital Age In today’s digital world, data is generated from every click, swipe, purchase, and interaction. From smartphones to smart cities, data is at the heart of innovation. But not all data can be handled using traditional tools. That’s where  Big Data  comes in. What  is  Big Data? Big Data refers to large, complex sets of data that are difficult to manage, process, and analyze using traditional database systems. This data can come from multiple sources—social media platforms, sensors, mobile apps, business transactions, and more—and it continues to grow rapidly. Big Data includes not just  structured  data (like rows and columns in a database), but also  semi-structured  and  unstructured  data such as text, images, videos, and log files. Key  Characteristics  of Big Data (The 5 Vs) Volume : The amount of data being generated is massive. Velocity : Data is ...

With Real-Time Use Cases & My Personal Journey! "Sir, Azure Data Engineer banna hai, par yeh role hota kya hai?" "Sir, tools kaunse use hote hai?" "Kya fresher ke liye yeh sahi career hoga?" These are some of the most common questions I’ve received in the past few months. So I decided to write this detailed blog post, to give you a complete picture of Azure Data Engineering . If you're confused about where to start, what to learn, and whether you're even eligible, this Blog post is for you. What is Data Engineering? Before we get into Azure, let’s understand the base. Imagine you're working in Swiggy . Every second, lakhs of users are placing orders, searching for restaurants, and paying online. Now imagine the volume of data this generates: Orders per city Average delivery time Peak order hours Failed payment attempts Most popular cuisines by region Now, this data is raw, messy, and unorganized . That’s where a Data Engineer comes...