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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...

PostgreSQL is beyond NoSQL database

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The PostegreSQL is a popular database for web applications. You can manage user data in this database conveniently. #postgreSQL What is PostgreSQL Web applications started using NoSQL databases. PostgreSQL is updating their database to meet the requirements of web applications. So PostgreSQL is almost equal to NoSQL database. Java Script PostgreSQL supports  JSON (JavaScript Simple Object Notation) . JSON is portable data format to share data. The MongoDB follows JSON. PostgreSQL's structured format for saving JSON, called JSONB, eliminates the need for restructuring a document before it is committed to the database. Benefits  PostgreSQL is similar to MongoDB to ingest documents  PostgreSQL follows ACID compatibility  PostgreSQL have all the features and options to edit JSON data.