Why HDFS handles petabyte-scale storage in Hadoop - Quick Recap

Recall & Review

beginner

What is HDFS and why is it used for big data storage?

HDFS stands for Hadoop Distributed File System. It stores very large data sets across many computers, making it easy to handle big data like petabytes.

beginner

How does HDFS store data to handle petabyte-scale storage?

HDFS splits big files into blocks and stores these blocks across many machines. This spreads the data and allows storing huge amounts easily.

intermediate

Why does HDFS use data replication?

HDFS keeps multiple copies of data blocks on different machines. This protects data if a machine fails and helps handle large data safely.

intermediate

What role does the NameNode play in HDFS?

The NameNode manages where data blocks are stored and keeps track of all files. It helps organize petabyte-scale data efficiently.

intermediate

How does HDFS handle hardware failures in large storage systems?

HDFS automatically detects failures and uses replicated data to recover lost blocks. This makes it reliable for huge storage systems.

What is the main reason HDFS can store petabytes of data?

A It stores data only on one powerful machine

B It compresses all data into a single file

C It splits data into blocks and stores them across many machines

D It uses cloud storage only

HDFS splits large files into blocks and distributes them across many machines to handle huge data volumes.

How many copies of data blocks does HDFS usually keep?

A Two

B Three

C One

D Ten

HDFS typically keeps three copies of each data block to ensure fault tolerance.

What does the NameNode in HDFS do?

A Manages metadata and tracks data block locations

B Stores the actual data blocks

C Compresses data

D Runs user applications

The NameNode manages metadata and keeps track of where data blocks are stored.

Why is data replication important in HDFS?

A To protect data from machine failures

B To reduce storage space

C To speed up data compression

D To encrypt data

Replication protects data by keeping copies on different machines in case one fails.

Which of these is NOT a feature that helps HDFS handle petabyte-scale storage?

A Data block splitting

B Data replication

C Fault tolerance

D Centralized storage on one machine

HDFS does not store all data on one machine; it distributes data across many machines.

Explain how HDFS manages to store and protect petabyte-scale data.

Think about how big files are broken down and copied to keep data safe.

Describe the role of replication and the NameNode in HDFS's ability to handle large-scale storage.

Focus on data safety and organization.