Data Engineering Resources

Top 5 Tips to Shrink and Secure Docker Images

You can shrink Docker images from over 1 GB to under 10 MB by using various techniques. The article talks about five tips that will help achieve this.

December 9, 2025

by Akash Lomas

· 1,752 Views · 4 Likes

How to Prevent Quality Failures in Enterprise Big Data Systems

Ensure reliable data pipelines with medallion architecture: Bronze, Silver, Gold layers catch quality issues early, preventing silent failures and bad decisions.

December 9, 2025

by Ram Ghadiyaram

CORE

· 1,479 Views · 1 Like

Disaster Recovery Testing for DevOps

When we think of Disaster Recovery, we expect instant restoration after deletions, outages, or attacks — but is that really how it works in practice?

December 8, 2025

by Daria Kulikova

· 2,207 Views · 3 Likes

The Hidden Cost of AI Agents: A Caching Solution

The true bottleneck in AI agent systems is data access, not LLMs. Semantic caching and coordinated query handling transform performance and cost.

December 8, 2025

by Janani Annur Thiruvengadam

CORE

· 2,241 Views · 6 Likes

Discover Hidden Patterns with Intelligent K-Means Clustering

K-Means goes beyond surface-level patterns to identify true shopper segments, enabling smarter cart-value forecasting and targeted recommendations.

December 5, 2025

by Raja Chakraborty

· 3,216 Views · 1 Like

AWS Agentic AI for App Portfolio Modernization

AWS Agentic AI automates and enriches portfolio assessments, fusing business context with technical signals to deliver faster, more consistent modernization decisions.

December 5, 2025

by Subrata Saha

· 3,115 Views · 1 Like

From Containers to WebAssembly: The Next Evolution in Cloud-Native Architecture

Wasm is emerging as a fast, secure alternative to containers. This article explores its key advantages, real-world use cases, and role in modern DevOps pipelines.

December 5, 2025

by Gideon Ali

· 7,353 Views · 4 Likes

The Hidden Backbone of AI: Why Data Engineering is Key for Model Success

From Business Intelligence to Artificial Intelligence: Data Engineering’s New Mandate for Trustworthy, Context-Rich Data

December 5, 2025

by Rajanikantarao Vellaturi

· 1,740 Views · 2 Likes

The RAG Illusion: Why “Grafting” Memory Is No Longer Enough

The CLaRa framework achieves true fusion of RAG's retrieval and generation modules via compressed vectors, enabling 16x efficiency and superior reasoning performance.

December 5, 2025

by Frederic Jacquet

CORE

· 2,899 Views · 1 Like

Scaling RAG for Enterprise Applications Best Practices and Case Study Experiences

Explore the complexities of deploying Retrieval-Augmented Generation (RAG) in enterprise environments. Learn about common challenges, best practices, and real-world case studies to effectively scale RAG systems for enhanced AI performance and reliability.

December 5, 2025

by Amlan Patnaik

· 2,872 Views

Can Generative AI Enhance Data Exploration While Preserving Privacy?

Generative AI lets teams explore data with natural-language queries, visualizations, and auto analyses while safeguarding privacy and compliance.

December 5, 2025

by None None

· 1,552 Views

Why Traditional QA Fails for Generative AI in Tech Support

A dual-layer AI framework ensures continuous quality and reliable performance of GenAI support agents in complex technical environments.

December 4, 2025

by Rohith Narasimhamurthy

· 2,604 Views

AI-Powered Data Integrity for ECC to S/4HANA Migrations

Ensure accurate SAP ECC-to-S/4HANA migrations with an AI-powered framework for automated data validation, reconciliation, and real-time insights.

December 4, 2025

by Gaurav Sharma

· 2,045 Views

Architectural Understanding of CPUs, GPUs, and TPUs

Learn about CPUs, GPUs, and TPUs — definitions, use cases, architectural differences, and above all, when to use CPUs, GPUs, and TPUs.

December 4, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 5,583 Views · 5 Likes

Unleashing Powerful Analytics: Technical Deep Dive into Cassandra-Spark Integration

Cassandra-Spark integration enables fast, scalable, real-time analytics by combining Cassandra’s storage power with Spark’s distributed processing efficiency.

December 4, 2025

by Abhinav Jain

· 11,527 Views · 24 Likes

How to Use AI for Anomaly Detection

Apply AI to anomaly detection by training models on your data, setting baselines for normal behavior, and automating alerts for faster, accurate decisions.

December 4, 2025

by Laiba Noor

· 3,703 Views · 1 Like