Introduction to Big Data
Vivek Kumar Astikar
Data Engineer @CloudAI | Problem Solver | @Google & @Microsoft Certified | Magma M Scholar | @Data Maverick | Building the future with AI
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!
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