Big Data and CERN: Evolution and Impact

The video explores the concept of big data, tracing its evolution from CERN's mainframe computers to the development of the internet and the web. It highlights the challenges of storing and analyzing vast amounts of data, leading to innovations like grid and cloud computing. The video also discusses the widespread impact of big data across various fields, emphasizing the need for new tools and techniques to harness its potential.

What was the main challenge with big data at CERN in the early days?

• Lack of data

• Insufficient number of physicists

• Overwhelming volume of data

• Inadequate funding

What was CERNET?

• A type of particle accelerator

• A network of interconnected computers at CERN

• A new data storage device

• A programming language

Why was the internet adopted at CERN?

• To replace CERNET

• To reduce travel costs

• To facilitate global access to data

• To improve computer speed

What was the purpose of developing a computing grid at CERN?

• To enable seamless sharing of computing resources

• To increase the number of sensors

• To reduce data storage costs

• To replace cloud computing

What is cloud computing?

• A new type of particle detector

• A business-like approach for accessing on-demand resources

• A type of weather prediction model

• A method for storing data in physical clouds

How does CERN generate big data?

• By using large mainframe computers

• By colliding protons and capturing traces

• By analyzing weather patterns

• By storing data in the cloud

What role do sensors play in CERN's data collection?

• They store data

• They act as a massive 3-D camera

• They transport data

• They analyze data

Why is big data becoming more prominent now?

• Due to the ability to derive more knowledge by joining related information

• Due to a decline in scientific research

• Because of new storage devices

• Because of a decrease in data volume

What are some real-time applications of big data?

• Predicting historical events

• Analyzing ancient texts

• Monitoring traffic and financial conditions

• Storing old photographs

What is the challenge with big data in today's society?

• Inventing new tools and techniques to mine vast stores

• Finding enough data

• Decreasing the speed of data analysis

• Reducing the number of sensors