Introduction to Big Data and Data Analytics.pptx

INTRODUCTION TO BIG DATA

1. Introduction to Big Data and Data Analytics

2. Big Data refers to extremely large and complex datasets that regular computer programs and databases cannot handle Sources of data: transactional data (e.g., online purchases) machine data (e.g., sensor readings) social data (e.g., social media posts)

3. Structured Data Definition: Data that is organized in rows and columns, easily stored in relational databases. Example: Imagine you're booking a flight online. The airline’s system stores your name, passport number, flight number, and seat assignment in a neat table. That’s structured data—like a digital filing cabinet.

4. Unstructured Data Definition: Data that doesn’t follow a specific format or structure. Example: Every time you post a meme on Instagram, record a podcast, or upload a video to YouTube, you're creating unstructured data. It’s rich in content but messy to analyze.

5. Semi-Structured Data Definition: A hybrid—some structure, but not as rigid as structured data. Example: you’re ordering pizza through a chatbot. The conversation is stored in a JSON file: { "order": "Pepperoni", "size": "Large", "delivery": "ASAP" } It’s not a table, but it’s still organized enough to be useful.

6. Advantages

7. Disadvantages:

8. Challenge Explanation Simple Example Visual Idea 🔐 Privacy and Security Concerns Risk of personal data being stolen or misused. A school app must protect student names and grades from being leaked online. 🧑‍🎓🔒 A student profile with a lock icon 📉 Data Quality Issues Bad or missing data leads to wrong results. A delivery app showing the wrong address because the user’s info wasn’t updated. 📦📍 A delivery truck going to the wrong house ⚙️ Technical Complexity Hard to set up and needs expert knowledge. A small shop owner finds it difficult to use a new inventory software. 🧑‍🔧🖥️ A confused shopkeeper in front of a computer 📜 Regulatory Compliance Must follow rules about how data is used. A company must ask permission before sending marketing emails to customers. 📧✅ A checkbox for email consent 💸 Cost and Resource Intensive Expensive to build and maintain. A local bakery wants a website with online orders but can’t afford the setup cost. 🧁💻 A bakery with a price tag on a website

9. Characteristics of Big Data

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