HDFS Block Size and Data Cleaning

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Questions and Answers

What is the minimum amount of data that a disk can read or write in HDFS?

Block size (correct)
Byte size
Sector size
Heap

What is the primary goal of data cleaning?

To improve data accessibility
To correct the wrong data (correct)
To eliminate irrelevant data
To remove duplicate entries

Which of the following is NOT a purpose of data cleaning?

To enhance data visualization (correct)
To remove noisy data
To validate data entries
To correct inconsistencies in data

Which statement about block size in HDFS is correct?

<p>Block size determines how data is stored on disk. (C)</p> Signup and view all the answers

What does data cleaning typically involve?

<p>Standardizing data formats (B)</p> Signup and view all the answers

Flashcards

What is the minimum data unit in HDFS?

The smallest unit of data that can be read or written to a disk in HDFS. It's the basic unit of data transfer.

What is data cleaning?

The process of removing inaccurate, incomplete, irrelevant, and noisy data from the dataset. It aims to improve the quality and accuracy of data.

What is a common reason for data cleaning?

Data cleaning helps eliminate inaccurate data, which can be due to errors, inconsistencies, or missing values. For example, a birthday listed as '01/01/1900' is likely incorrect.

Why is data consistency important in data cleaning?

Data cleaning involves correcting inconsistencies in data, such as inconsistent formatting of dates, addresses, or names. It ensures data follows a consistent format and structure.

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What is the role of noise removal in data cleaning?

Data cleaning removes noisy data, which is irrelevant or random data that can disrupt analysis. It reduces the impact of outliers or irrelevant information.

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Study Notes

Minimum Data Amount in HDFS

The minimum amount of data a disk can read or write in HDFS is determined by the block size.

Data Cleaning Purposes

Data cleaning is used to remove noisy data.
Data cleaning is used to correct incorrect data.
Data cleaning is used to correct inconsistencies in the data.
All of these purposes are encompassed in the goal of data cleaning.

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Description

This quiz covers essential concepts related to the minimum data amount in HDFS, specifically focusing on block sizes. Additionally, it explores the various purposes of data cleaning, including the removal of noisy data and correcting inconsistencies. Test your knowledge on these critical topics in data management.