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AWS

Comprehensive AWS tutorials covering Lambda, Pinpoint, S3, Glue, and cloud architecture for data engineers and developers seeking practical cloud solutions.

Home » Blog » AWS » Page 3
AWS Glue Run Locally
Posted inAWS Data Engineering

How to Run AWS Glue Locally for ETL Processing (Step-by-Step Guide)

Introduction AWS Glue is a powerful serverless ETL (Extract, Transform, Load) service that allows data engineers to process large-scale datasets efficiently. However, running AWS Glue jobs in the cloud can…
Posted by Afzal Malik February 19, 2025
AWS EMR and AWS Kinesis Data Firehose
Posted inAWS Data Engineering

AWS EMR vs. AWS Kinesis Data Firehose: Choosing the Right Service for Your Use Case

Introduction AWS provides a broad range of services for handling big data and real-time streaming workloads. Two of the most commonly used services are Amazon EMR (Elastic MapReduce) and Amazon…
Posted by Afzal Malik February 7, 2025
DynamoDB to Redshift real-time integration
Posted inAWS Data Engineering

Real-Time Data Integration: From DynamoDB to Redshift Using AWS Lambda

In today’s data-driven world, businesses need to analyze real-time data to make informed decisions. Amazon DynamoDB, a fully managed NoSQL database, is a popular choice for storing high-velocity transactional data.…
Posted by Afzal Malik February 6, 2025
S3 Select
Posted inAWS Data Engineering

Step-by-Step Guide to Using S3 Select

Amazon S3 Select is a powerful feature that allows users to retrieve a subset of data from an S3 object using SQL queries. This capability can significantly reduce the amount…
Posted by Afzal Malik February 5, 2025
s3-directory-buckets
Posted inAWS Data Engineering

AWS S3 Directory Buckets – A More Structured Approach

Amazon S3 Directory Buckets are a specialized type of S3 bucket designed to offer a hierarchical, directory-based way to organize data, much like a traditional file system. This contrasts with…
Posted by Afzal Malik February 5, 2025
Identifying data sources
Posted inAWS Data Engineering

Choosing the Right AWS Data Source: Amazon S3 vs. DynamoDB

Introduction In today's data-driven world, selecting the right data source is crucial for efficient storage, processing, and retrieval. AWS offers a variety of data sources, but two of the most…
Posted by Afzal Malik February 4, 2025
Redshift Schema Designing
Posted inAWS Data Engineering

Designing the Database Schema: A Comprehensive Guide

Introduction A well-structured database schema is the foundation of any efficient data management system. Whether you are designing a relational database for an application or a data warehouse for analytical…
Posted by Afzal Malik February 1, 2025
Redshift Spectrum
Posted inAWS Data Engineering

A Comprehensive Guide to Amazon Redshift Cluster Spectrum

Amazon Redshift Architecture Amazon Redshift follows a master-slave architecture, consisting of a leader node and multiple compute nodes. Leader Node: The leader node acts as a bridge between client applications…
Posted by Afzal Malik January 29, 2025
Redshift Serverless
Posted inAWS Data Engineering

Understanding Amazon Redshift Serverless: A Guide to Cost-Effective Data Analytics

What is Amazon Redshift Serverless? Amazon Redshift Serverless is a fully managed, scalable solution that allows you to run SQL queries without managing clusters. This offering is perfect for organizations…
Posted by Afzal Malik January 29, 2025
Amazon-EC2-Trn2
Posted inAIML AWS

Revolutionizing Generative AI with Amazon EC2 Trn2 Instances and UltraServers

Generative AI is transforming industries by enabling groundbreaking applications, and AWS is leading this revolution with its newly launched Amazon EC2 Trn2 instances and Trn2 UltraServers. These cutting-edge compute solutions…
Posted by Afzal Malik January 18, 2025

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