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Sentia Tech Blog

Category: AI, Data & Machine Learning

Explore practical guides, emerging trends, and core concepts in artificial intelligence, data science, and machine learning. From model development to data ethics, this category helps tech professionals build intelligent systems with clarity and precision.

Best Practices for Deploying ML Models in the Cloud

Alex, 23 June 202517 June 2025

Machine learning projects often start as Jupyter notebooks. That’s fine for prototyping. But moving from…

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ETL vs. ELT: Key Differences and When to Use Each

Alex, 14 April 202514 April 2025

ETL and ELT both move data from one system to another, but the order of…

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Optimizing System Performance for Machine Learning Workloads

Alex, 1 April 20251 April 2025

Improving system performance in machine learning requires addressing hardware constraints and efficient resource distribution. System…

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AppSync Insights Part 3: Minimizing Data Transfer at Every Layer

Alex, 1 April 20251 April 2025

AppSync provides a robust framework for managing data interactions in modern applications. Efficiently transferring data…

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AppSync Insights Part 1: Restricting Access with OAuth Scopes & VTL

Alex, 1 April 20251 April 2025

AppSync Insights Part 1 provides a detailed walkthrough on managing secure API interactions by restricting…

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AppSync Insights Part 2: Implementing a Generic String Filter in Python

Alex, 1 April 20251 April 2025

The purpose of this article is to provide a clear method for implementing a flexible…

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Recent Posts

  • Best Practices for Deploying ML Models in the Cloud
  • Zero Trust Architecture for Cloud-Native Applications: A Practical Guide
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  • Using tcpdump, Wireshark, and Understanding Encapsulation
  • Aggregate Trusted Advisor Events in a Multi-Account AWS Setup

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