Introduction to Big Data

Introduction to Big Data

Day 1: Introduction to Big Data

Big Data refers to the large, complex data sets that are difficult to process using traditional methods. It’s defined by 5 key characteristics:

1. Volume: Massive data size, measured in terabytes or more.

2. Velocity: High-speed data generation and processing (e.g., real-time social media updates).

3. Variety: Different types of data (text, images, videos).

4. Veracity: Ensuring the data is reliable and accurate.

5. Value: Extracting meaningful insights from data.


Real-Time Example:


Imagine a Smart Traffic System in a city. It collects data from traffic cameras, road sensors, and GPS in vehicles (Volume).

The system processes this data instantly (Velocity) to adjust traffic signals.

The data comes in different formats like images and sensor readings (Variety).

The system ensures that the data is accurate (Veracity), helping to reduce congestion and improve traffic flow (Value).

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Let me know in the comments if you have any questions!

We’ll continue this journey in the next article where we dive into the basics of Apache Spark. Stay tuned!


Jonathan Gibbons

Helping legal and accountancy practices with their information security and compliance needs.

6 个月

ASTIKAR VIVEK KUMAR -Good article simplistic in a good way that its easy to digest and knowledgeable content - Good work

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