aws-big-data-blog
Code samples and examples from AWS Big Data Blog posts for implementing data analytics solutions on AWS.
What is aws-big-data-blog?
aws-big-data-blog is a collection of code samples and implementation examples from the AWS Big Data Blog. It provides practical, working code that demonstrates how to build data analytics solutions using AWS services like Amazon EMR, Redshift, Kinesis, and Glue. The repository helps developers implement big data patterns and architectures discussed in AWS technical blog posts.
Data engineers, data scientists, and developers building big data and analytics solutions on AWS who need practical implementation examples and reference code.
Developers choose this repository because it provides production-tested code directly from AWS experts, saving time on implementation and ensuring best practices for AWS data services. The examples are maintained alongside the official AWS Big Data Blog content.
Overview
This repository hosts practical code samples and implementation examples from the AWS Big Data Blog. It provides developers with ready-to-use patterns and solutions for building big data and analytics applications on AWS infrastructure.
Key Features
- Real-World Examples — Production-tested code samples from AWS blog posts
- Multiple AWS Services — Integrations with services like Amazon EMR, Redshift, Kinesis, and Glue
- Varied Use Cases — Solutions for data ingestion, processing, analytics, and machine learning
- Regular Updates — New samples added as blog posts are published
- Multiple Languages — Code in Python, Java, Scala, and other languages used in AWS data services
Philosophy
The repository follows AWS's practical approach to sharing knowledge through actionable code that developers can adapt for their own big data projects.
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