Introduction to Big Data Quiz

What are the different methods of data collection and storage in big data?

• Structured data, unstructured data, and semi-structured data

• Batch processing, real-time processing, and stream processing

• Manual processing, automated processing, and semi-automated processing

• Cloud storage, local storage, and hybrid storage

Explain the process of data processing and analysis in the context of big data.

• Processing, storing, and analyzing data in a slow and inefficient manner

• Storing, analyzing, and visualizing small amounts of data to make random guesses

• Collecting, storing, cleaning, and analyzing large volumes of data to extract valuable insights and make informed decisions.

• Collecting, organizing, and selling large volumes of data to the highest bidder

Discuss the various data visualization techniques used in big data analytics.

• Pie charts, scatter plots, and line graphs

• There are various data visualization techniques used in big data analytics such as scatter plots, bar charts, line graphs, heat maps, and interactive dashboards.

• Histograms, pie charts, and radar charts

• Bar charts, line graphs, and scatter plots

Provide examples of real-world big data applications and their impact.

• Apple, Samsung

• Google, Microsoft

• Facebook, Twitter

• Netflix, Amazon

What are the major challenges associated with big data processing and analysis?

• Data security, data privacy, data compression

• Data storage, data integration, data quality, data security, and scalability

• Data analysis, data mining, data visualization

• Data visualization, data encryption, data compression