Big Data Analytics Challenge

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Insights from massive data

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Sujitha Durai

India

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Froggy Jumps Big Data Analytics ChallengeOnline version Insights from massive data by Sujitha Durai 1 What is the primary goal of Big Data Analytics? a To replace traditional databases entirely b To extract meaningful patterns and insights from large, complex datasets c To store data securely in the cloud 2 Which property is NOT part of the '3 Vs' most common in Big Data? a Volume b Velocity c Latency 3 Which framework is commonly used for distributed data processing? a PowerPoint b MySQL c Apache Hadoop 4 Which tool is designed for fast in-memory data processing at scale? a Apache Ant b MongoDB c Apache Spark 5 What does ETL stand for in data analytics? a Extract, Transform, Load b Evaluate,Transform,Load c Extract,Transfer,Link 6 Which characteristic describes data that is messy or unreliable? a Variety b Velocity c Veracity 7 Which type of analytics answers the question 'what happened?'. a Cognitive analytics b Prescriptive analytics c Descriptive analytics 8 What is 'velocity' in the context of Big Data? a The color of data streams b The size of storage devices c The speed at which data is generated and processed 9 Which of the following describes data variety? a Diverse data formats and sources b Single-source, uniform data c Low-quality, stagnant data 10 Which outcome is a key benefit of Big Data analytics for business? a Informed decision making based on data-driven insights b Reduced data governance c Increased manual data entry

Froggy Jumps

Big Data Analytics ChallengeOnline version

Insights from massive data

by Sujitha Durai

What is the primary goal of Big Data Analytics?

To replace traditional databases entirely

To extract meaningful patterns and insights from large, complex datasets

To store data securely in the cloud

Which property is NOT part of the '3 Vs' most common in Big Data?

Volume

Velocity

Latency

Which framework is commonly used for distributed data processing?

PowerPoint

MySQL

Apache Hadoop

Which tool is designed for fast in-memory data processing at scale?

Apache Ant

MongoDB

Apache Spark

What does ETL stand for in data analytics?

Extract, Transform, Load

Evaluate,Transform,Load

Extract,Transfer,Link

Which characteristic describes data that is messy or unreliable?

Variety

Velocity

Veracity

Which type of analytics answers the question 'what happened?'.

Cognitive analytics

Prescriptive analytics

Descriptive analytics

What is 'velocity' in the context of Big Data?

The color of data streams

The size of storage devices

The speed at which data is generated and processed

Which of the following describes data variety?

Diverse data formats and sources

Single-source, uniform data

Low-quality, stagnant data

Which outcome is a key benefit of Big Data analytics for business?

Informed decision making based on data-driven insights

Reduced data governance

Increased manual data entry

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Big Data Analytics Challenge

Froggy Jumps

About this activity

Created by

Download the paper version to play

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Froggy Jumps

Big Data Analytics ChallengeOnline version

by Sujitha Durai

What is the primary goal of Big Data Analytics?

Which property is NOT part of the '3 Vs' most common in Big Data?

Which framework is commonly used for distributed data processing?

Which tool is designed for fast in-memory data processing at scale?

What does ETL stand for in data analytics?

Which characteristic describes data that is messy or unreliable?

Which type of analytics answers the question 'what happened?'.

What is 'velocity' in the context of Big Data?

Which of the following describes data variety?

Which outcome is a key benefit of Big Data analytics for business?

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