Cluster planning and sizing in Hadoop - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of cluster planning in Hadoop?

The main goal is to design a cluster that meets performance, storage, and cost needs by choosing the right number and type of nodes.

beginner

Name two key factors to consider when sizing a Hadoop cluster.

Data volume (how much data you have) and workload type (batch processing, streaming, etc.) are key factors.

intermediate

Why is it important to consider network bandwidth in cluster sizing?

Because data moves between nodes during processing, insufficient bandwidth can slow down jobs and reduce cluster efficiency.

intermediate

What role does memory play in Hadoop cluster sizing?

Memory affects how much data can be processed in memory, impacting speed and the ability to run multiple tasks simultaneously.

beginner

Explain the difference between compute nodes and storage nodes in a Hadoop cluster.

Compute nodes handle data processing tasks, while storage nodes focus on storing data. Some clusters combine both roles in the same nodes.

What is the first step in Hadoop cluster planning?

A Buying hardware

B Estimating data size and growth

C Installing Hadoop software

D Running sample jobs

Estimating data size helps decide how big the cluster needs to be.

Which resource is most critical for fast data processing in Hadoop?

A Disk space

B Network bandwidth

C Monitor size

D CPU and memory

CPU and memory directly affect processing speed and task handling.

In cluster sizing, what does 'scalability' mean?

A Ability to add more nodes easily

B Faster network cables

C More storage disks per node

D Using cheaper hardware

Scalability means you can grow the cluster by adding nodes without big changes.

Which Hadoop component stores data across the cluster?

A HDFS

B YARN

C MapReduce

D Hive

HDFS (Hadoop Distributed File System) stores data across nodes.

Why might you separate compute and storage nodes in a cluster?

A To reduce network traffic

B To make the cluster smaller

C To optimize resource use for specific tasks

D To avoid using memory

Separating roles helps optimize hardware for processing or storage needs.

Describe the key steps involved in planning and sizing a Hadoop cluster.

Think about what you need to know before buying and setting up the cluster.

Explain how memory and network bandwidth affect Hadoop cluster performance.

Consider how data moves and is processed inside the cluster.