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Big Data Programming

Writing programs for big data processing.

This subtopic covers programming languages and libraries used for big data processing, writing MapReduce jobs, Spark programming, and more.

5 minutes 5 Questions

Big Data Programming involves creating and implementing code to process, analyze, and derive insights from massive datasets that exceed traditional database systems' capabilities. It centers on developing algorithms and solutions for the 5Vs of Big Data: Volume, Velocity, Variety, Veracity, and Val…

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Big Data Scientist - Big Data Programming Example Questions

Test your knowledge of Big Data Programming

Question 1

What is the significance of the term 'tidy data' in data science?

A term used to describe data that is well-structured and organized in a way that facilitates analysis and modeling. A data transformation method that reduces the dimensionality of data by finding a small number of uncorrelated variables that capture most of the variance. A data quality metric that measures the completeness, accuracy, and consistency of data. A data visualization technique that uses triangular shapes to show the relationship between three variables. A clustering algorithm that groups data points based on their similarity to each other. A statistical technique for detecting patterns and relationships in high-dimensional data sets.

Correct Answer: A term used to describe data that is well-structured and organized in a way that facilitates analysis and modeling.

Tidy data is a term used to describe data that is well-structured and organized in a way that facilitates analysis and modeling. In tidy data, each row represents a single observation, and each column represents a variable. This makes it easier to analyze and visualize the data, as well as to apply machine learning algorithms. Tidy data is a commonly used concept in data science, as it helps to ensure that the data is in a format that is suitable for analysis.

Question 2

What is the purpose of the 'map' function in Apache Hadoop?

To extract specific fields from input data To perform mathematical operations on input data To group input data by similar characteristics To transform input data into key-value pairs for further processing To merge multiple input files into a single output file To filter input data based on specified criteria

Correct Answer: To transform input data into key-value pairs for further processing

The 'map' function is a core component of the MapReduce programming model used in Apache Hadoop. Its purpose is to transform input data into key-value pairs that can be further processed by the 'reduce' function.

Question 3

What is Pig Latin?

An programming language for building websites A high-level programming language used with Apache Hadoop A dance style A medical term A type of food

Correct Answer: A high-level programming language used with Apache Hadoop

Pig Latin is a high-level programming language used with Apache Hadoop to analyze large data sets. It provides a simplified platform for accessing and processing data.

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