Streaming Data into Action: Building a Scalable Real-Time Analytics Platform on AWS
Learn how to build a real-time analytics platform using Amazon Kinesis, EMR with Spark Streaming, and Redshift for data engineers seeking actionable guidance.
Data Engineering with AWS
Practical guides, architecture patterns, and free tools for building modern data pipelines on AWS.
Recent Articles
Choosing the Right Tool for Your Data Processing Workload on AWS
Compare AWS EMR, Glue, and Lambda for data processing. Learn when to use each service based on workload requirements, cost, and complexity.
Building a Scalable Data Warehouse on AWS: A Step-by-Step Guide
Learn how to build a scalable data warehouse using Amazon Redshift and AWS Glue with this comprehensive step-by-step guide for data engineers.
ELT Made Easy: A Step-by-Step Guide to Building a Scalable Data Warehouse on AWS
Learn how to build an ELT pipeline using Amazon Redshift, Athena, and AWS Glue with practical code examples and best practices for data engineers.
Serverless Data Processing Made Easy: Building a Scalable Pipeline on AWS
Learn how to build a serverless data processing pipeline using AWS Lambda and Kinesis, with Node.js examples and S3 integration for scalable, cost-effective data engineering.
Building a Scalable ETL Pipeline on AWS: A Step-by-Step Guide
Learn how to build a serverless ETL pipeline using AWS Glue and Amazon S3 with practical code examples and CloudFormation deployment.
Building a Scalable Event-Driven Data Pipeline on AWS
Learn how to design and implement event-driven data pipelines using AWS Kinesis and Lambda with Node.js, featuring real-time processing patterns and S3 integration.
Getting Started with Athena: A Step-by-Step Guide to Setting Up a Scalable Query Service
Learn how to set up Amazon Athena for serverless SQL analytics on S3 data with practical guidance on database creation, table setup, and query writing.
ETL vs ELT: Choosing the Right Data Pipeline for Your AWS Workload
Compare ETL and ELT pipeline architectures on AWS using Glue, Redshift, and Athena. Learn the pros, cons, and recommendations for each approach.
Getting Started with S3: A Step-by-Step Guide to Setting Up a Scalable Data Store
Learn how to set up Amazon S3 for data engineering workloads with practical guidance on bucket creation, security configuration, and data management.