Cluster Planning and Sizing
📖 Scenario: You are working as a data engineer preparing to set up a Hadoop cluster for a company. The company needs to process large amounts of data efficiently. To do this, you must plan the cluster size based on the data volume and processing needs.
🎯 Goal: Build a simple program to calculate the number of nodes needed in a Hadoop cluster based on data size and node capacity.
📋 What You'll Learn
Create a variable with the total data size in terabytes (TB)
Create a variable with the capacity of one node in terabytes (TB)
Calculate the number of nodes needed using division and rounding up
Print the number of nodes required
💡 Why This Matters
🌍 Real World
Planning the size of a Hadoop cluster helps companies allocate resources efficiently and avoid under or over-provisioning.
💼 Career
Data engineers and system administrators use cluster sizing to ensure data processing runs smoothly and cost-effectively.
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