Cloud Computing – Taylor Amarel

By - Taylor Amarel
Posted on February 23, 2025
Posted in Automation, AWS, Cloud Computing, Cost Optimization, Data Science, Machine Learning, SageMaker, Scalability, Security

Building Scalable and Cost-Effective Machine Learning Pipelines on AWS SageMaker

Building Scalable and Cost-Effective ML Pipelines on AWS SageMaker Building and deploying machine learning models can be a complex and costly endeavor, often fraught with challenges in scalability, cost management, and security. Developing a robust and efficient Machine Learning (ML) pipeline requires careful consideration of various factors, from the initial data preprocessing stages to model

By - Taylor Amarel
Posted on February 14, 2025
Posted in Big Data, Cloud Computing, Data Engineering, Data Pipelines, Scalability

Architecting Scalable and Efficient Data Pipelines with Cloud Technologies and Big Data Tools

The Rise of Modern Data Pipelines: A Necessity in the Big Data Era In the age of unprecedented data generation, the ability to efficiently process and derive insights from vast datasets has become paramount. Organizations across every industry, from finance and healthcare to retail and entertainment, are grappling with the challenge of extracting value from