Big Data In 5 Minutes | What Is Big Data?| Big Data Analytics | Big Data Tutorial | Simplilearn

Summary

This script delves into the vast realm of big data, highlighting the staggering amount of data generated by smartphones and the internet every minute. It introduces the five Vs—volume, velocity, variety, veracity, and value—as key characteristics of big data. The script uses healthcare as an example to illustrate the benefits of big data, such as improved disease detection and reduced costs. It explains how frameworks like Hadoop, with its Hadoop Distributed File System (HDFS) and MapReduce, enable the storage and processing of big data in a distributed and parallel manner. The video also explores big data's applications in gaming and disaster management, emphasizing its potential to transform various industries.

Takeaways

• 📱 Smartphones generate approximately 40 exabytes of data per month, per user, which scales to a massive amount when multiplied by the global number of smartphone users.
• 🌐 The internet generates an astonishing amount of data per minute, with millions of activities across platforms like Snapchat, Google, Facebook, YouTube, and email services.
• 🔍 Big data is characterized by the five Vs: Volume, Velocity, Variety, Veracity, and Value, which help in classifying and understanding the nature of data.
• 🏥 The healthcare industry is an example where big data plays a crucial role, with hospitals and clinics generating large volumes of patient data that can be leveraged for faster disease detection and improved treatments.
• 🗃️ Hadoop and its ecosystem, including the Hadoop Distributed File System (HDFS), are frameworks designed to store and process big data in a distributed and efficient manner.
• 🔄 HDFS stores data in a distributed manner, breaking down large files into smaller chunks and replicating them across different nodes for redundancy and fault tolerance.
• 🔧 MapReduce is a technique used for processing big data by breaking tasks into smaller sub-tasks, which are then processed in parallel across multiple machines.
• 🎮 Big data analysis has practical applications in various industries, including gaming, where user behavior data can be used to improve game design and reduce customer churn.
• 🌪️ Big data was instrumental in disaster management during Hurricane Sandy, providing predictive insights and aiding in the preparation and response to the storm's impact.
• ❓ The script poses a question about the incorrect statement regarding HDFS, highlighting the importance of understanding the capabilities and functions of big data storage systems.
• 🎁 The video encourages viewer engagement by asking for opinions on the future impact of big data and offering incentives for participation in the form of Amazon gift vouchers.

Q & A

How much data does a single smartphone user generate approximately every month?

A single smartphone user generates approximately 40 exabytes of data every month.

What is the term used to describe the massive amount of data generated by billions of smartphone users?

The term used to describe this massive amount of data is 'big data'.

What are the five characteristics, or '5 V's, of big data?

The five characteristics of big data are Volume, Velocity, Variety, Veracity, and Value.

How much data is generated per minute on the internet according to the script?

Per minute on the internet, 2.1 million snaps are shared on Snapchat, 3.8 million search queries are made on Google, 1 million people log onto Facebook, 4.5 million videos are watched on YouTube, and 188 million emails are sent.

What is the role of the Hadoop Distributed File System (HDFS) in big data storage?

HDFS is the storage layer of Hadoop that stores big data in a distributed manner, breaking down large files into smaller chunks and storing them across multiple data nodes.

What technique does Hadoop use to process big data?

Hadoop uses the MapReduce technique to process big data, which involves breaking a lengthy task into smaller tasks and processing them in parallel across different machines.

How does the MapReduce technique contribute to the processing of big data?

The MapReduce technique contributes by enabling parallel processing of data, making the processing faster and more efficient by distributing tasks across multiple machines.

What is the significance of the 'Veracity' of data in big data analysis?

Veracity refers to the accuracy and trustworthiness of the generated data, which is crucial for ensuring the reliability of the insights and decisions derived from big data analysis.

How does big data analysis benefit the healthcare industry?

Big data analysis in healthcare can enable faster disease detection, better treatment options, and reduced costs by analyzing vast volumes of patient records and test results.

Which of the following statements about HDFS is not correct according to the script?

The incorrect statement about HDFS according to the script is 'HDFS performs parallel processing of data', as HDFS is responsible for storage, not processing.

How was big data utilized during Hurricane Sandy in 2012?

During Hurricane Sandy in 2012, big data was used for disaster management to gain a better understanding of the storm's effect on the east coast of the U.S. and to predict the hurricane's landfall five days in advance.