Tag: Data Warehousing

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. 

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Advanced-Data Modeling Techniques for Big Data Applications

As businesses start to use big data, they often face big challenges in managing, storing, and analyzing the large amounts of information they collect.

Traditional data modeling techniques which were designed for more structured and predictable data environments, can lead to performance issues, scalability problems, and inefficiencies when applied to big data.

The mismatch between traditional methods and the dynamic nature of big data causes these issues, resulting in slower decision-making, higher costs, and the inability to fully leverage data.

For many organizations, these challenges result in slower decision-making, higher costs, and the inability to fully use their data.

In this blog, we will explore the sophisticated data modeling techniques designed for big data applications.

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