Understanding Big Data and Hadoop

The video discusses the vast amount of data generated by smartphones and the internet, introducing the concept of big data. It explains the five V's of big data: volume, velocity, variety, veracity, and value, using healthcare as an example. The video describes how big data is stored and processed using frameworks like Hadoop, focusing on HDFS and MapReduce. It highlights applications of big data in gaming and disaster management, concluding with a quiz question about HDFS.

What is the approximate amount of data generated by a single smartphone user each month?

• 20 exabytes

• 10 exabytes

• 30 exabytes

• 40 exabytes

Which of the following is NOT one of the five V's of big data?

• Variety

• Velocity

• Volume

• Visibility

In the healthcare industry, what is the annual amount of data collected in exabytes?

• 3000 exabytes

• 2000 exabytes

• 1500 exabytes

• 2314 exabytes

What is the primary storage component of Hadoop?

• Cassandra

• Spark

• HDFS

• MapReduce

How does Hadoop ensure data safety in case of machine failure?

• By making multiple copies of data across nodes

• By compressing data

• By using a single backup server

• By storing data in a single location

What technique does Hadoop use to process big data efficiently?

• Serial processing

• Batch processing

• MapReduce

• Stream processing

In gaming, how is big data used to improve user experience?

• By adding more levels

• By analyzing user data to adjust game difficulty

• By reducing game size

• By increasing game graphics

During Hurricane Sandy, how did big data assist in disaster management?

• By evacuating people automatically

• By reducing the hurricane's intensity

• By providing real-time weather updates

• By predicting the hurricane's landfall five days in advance

Which statement is incorrect about Hadoop Distributed File System (HDFS)?

• HDFS is the storage layer of Hadoop

• Data gets stored in a distributed manner in HDFS

• Smaller chunks of data are stored on multiple data nodes in HDFS

• HDFS performs parallel processing of data

What is the call to action for viewers at the end of the video?

• To buy a product

• To subscribe to the channel

• To attend a webinar

• To download an app