Tag: Redshift

Technical Case Study: Amazon Redshift and Athena as Data Warehousing Solutions

Introduction

Modern data architectures demand flexible, scalable, and cost-effective solutions that can handle diverse analytical workloads. Amazon Web Services offers multiple data warehousing approaches that serve different needs: 

  • Amazon Redshift: A petabyte-scale, fully managed data warehouse designed for complex analytical queries 
  • Amazon Athena: A serverless query service that allows direct querying of data in S3. 

Continue reading “Technical Case Study: Amazon Redshift and Athena as Data Warehousing Solutions”

How to Optimize Amazon Redshift for Faster and Seamless Data Migration

When it comes to handling massive datasets, choosing the right approach can make or break your system’s performance. In this blog, I’ll take you through the first half of my Proof of Concept (PoC) journey—preparing data in Amazon Redshift for migration to Google BigQuery. From setting up Redshift to crafting an efficient data ingestion pipeline, this was a hands-on experience that taught me a lot about Redshift’s power (and quirks). Let’s dive into the details, and I promise it won’t be boring!

Continue reading “How to Optimize Amazon Redshift for Faster and Seamless Data Migration”