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Showing posts with the label Microservices Vs SOA

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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...

How Micro-services differ from SOA

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Here you will know the differences between microservices and SOA. Both are different architectures. 1. Micro-services  Microservices are interconnected using simple API You can develop highly scalable and modular applications Service-based architecture It is distributed architecture Here, security is a big challenge. Since there is no middleware Functional services, basically this kind No coordination between services. 2. SOA Service-based architecture It is distributed architecture Security is good It is an infrastructure kind of service Links and References Popular differences between Micro-Services and SOA models Architecture for microservices