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How to Read a CSV File from Amazon S3 Using Python (With Headers and Rows Displayed)

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  Introduction If you’re working with cloud data, especially on AWS, chances are you’ll encounter data stored in CSV files inside an Amazon S3 bucket . Whether you're building a data pipeline or a quick analysis tool, reading data directly from S3 in Python is a fast, reliable, and scalable way to get started. In this blog post, we’ll walk through: Setting up access to S3 Reading a CSV file using Python and Boto3 Displaying headers and rows Tips to handle larger datasets Let’s jump in! What You’ll Need An AWS account An S3 bucket with a CSV file uploaded AWS credentials (access key and secret key) Python 3.x installed boto3 and pandas libraries installed (you can install them via pip) pip install boto3 pandas Step-by-Step: Read CSV from S3 Let’s say your S3 bucket is named my-data-bucket , and your CSV file is sample-data/employees.csv . ✅ Step 1: Import Required Libraries import boto3 import pandas as pd from io import StringIO boto3 is...
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AWS Block Vs Object Storage Top Differences

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In AWS, Block and Object are two types of storage. I have given differences between these two. Why because storage is a prime concept in the cloud environment.

Object Vs Block Storage

Why are these names different? Because these two are different storage types - Object and Block.


Object Storage


  • Object means it is a single object. You are not dividing here.
  • In the context of AWS, object storage helps your file to store as-is. How big it does not matter.
  • Let your file size is 10MB. Then, it saves as a 10 MB file.
  • What happens when you update a 30MB file. It deletes the old object and creates a brand new one.
  • For small changes, you need to update the whole file. So, it utilizes a lot of resources.
  • Object storage is much better for big files and very few changes.
  • AWS manages object storage.
  • AWS has full control over Object storage.


Block Storage


  • Block storage divides your file into blocks.
  • You have selected a block size of 512 bytes. If you want to upload a 10MB file, it then divides the whole file into 20 blocks.
  • When you want to update a single character, it updates only that Block. It will not touch other blocks.
  • You can save network and bandwidth use in Block storage.
  • When the changes are more, and you want to update very often, then Block storage is much better.
  • In Block storage volumes are mountable.
  • AWS has no visibility on blocks inside of Block storage.
  • It has visibility only on Block volumes.

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