What is Big Data

Most companies analyzing only very little percentage of their available data. What could be this percentage from your view point? Guess!

• 50%

• 10%

• 25%

• 1%

What would Amazon/Lazada/Shopee use Big Data for?

• To store customer details

• To analyse buying trends and recommend future purchases

• To store payment details

• To predict future company earnings

Years ago an American Scientist predicted that It is possible to build machines that can recognize or predict patterns. Such machines may eventually be fast enough to deal with large data streams in real time. Who and in which year it was predicted

• 1990, Peter Denning

• 1980, Charles Tilly

• 1944, Fremont Ryder

• 1988, John Mashey

What is the true definition of big data

• huge amount of space

• extremely large, diverse sets of information

• unlimited speed data internet connection

• small, undiverse sets of information

What are the four V's that best define Big Data?

• Vacant - Victini - Volume-Validity

• Volume - Velocity - Variety- Veracity

• Validity - Velocity - Veracity- Volume

• Varsity - Velocity - Volume- Validity

Volume is one of the characteristics of big data. What does Volume refers to?

• The hard disk or server capacity it can hold

• The data that can be processed

• The amount of Youtube/Netflix videos that existed

• The amount of data in variety of formats

Variety is a characteristic of big data. Which type of formats does Variety comes from?

• Structured

• Unstructured

• Semi-structured

• All of the above

What does Structured Data mean?

• Any data with unknown form

• Data that contain structured and semi-structured form

• Data that can be stored, accessed and processed in the form of fixed format

What does data Velocity refers to?

• Speed of Data, How fast the data coming in

• speed of an internet

• the volume to the city

How does Big Data benefits in manufacturing?

• Helps to gathers full personal information of the employees and customers

• Gather information about processes and analyze them to understand variability in production, quality issues, scrap prediction, production downtime - to be predictive

• The data of Machines used in manufacturing digitised