Big Data 1

A visually engaging infographic depicting the key components of big data, including analytics, data lakes, and insights, with vibrant colors and an abstract background.

Big Data Essentials Quiz

Test your knowledge of big data concepts and analytics with this engaging quiz. Dive into the key principles that drive big data technologies and their applications in today's business landscape.

Understand the importance of data insights
Explore the evolving dimensions of big data
Challenge your knowledge with multiple choice and checkbox questions

9 Questions2 MinutesCreated by AnalyzingData42

Just collecting and storing information isn't enough to produce real business value. Big data analytics technologies are necessary to:

A. Formulate eye-catching charts and graphs

B. Extract valuable insights from the data

C. Integrate data from internal and external sources

D. Determine business goals and objectives

Big data developed the three V's -- volume, velocity and variety -- in 2001. In the years since, the V's have expanded to include veracity and value. Sometimes a sixth V is applied to big data, which is:

A. Variability

B. Vector

C. Vulnerability

D. Volatile

True or false? Organizations are struggling with maintaining highly skilled data scientists and engineers due to market demands.

True

False

Which of the following typically create large sets of data?

A. Search Engines

B. Hospitals

C. Social Media Sites

D. A and C

Data architecture is the structure that enables which of the following? Tick all that apply.the

Data Lake is a huge repository that holds every kind of data which is?

A. Processed

B. Raw

C. Analysed

D. Graphs

The results obtained through the processing of Big Data can lead to a wide range of insights and benefits, such as:

Operational optimization

Actionable intelligence

Improved decision-making

Scientific discoveries

Big Data 1

Big Data Essentials Quiz

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