Big Data Resources

LLMs in Data Engineering: How Generative AI is Changing ETL and Analytics

LLMs reshape data engineering by automating ETL tasks, enabling natural language analytics, and empowering faster, smarter decision-making without replacing engineers.

January 1, 2026

by harshraj bhoite

· 3,177 Views · 1 Like

Rethinking Cloud Compliance With an AI-Driven Approach

Learn how AI transforms cloud compliance with continuous monitoring, automated risk assessment, and intelligent data governance for secure operations.

December 30, 2025

by Atish Kumar Dash

· 1,921 Views · 2 Likes

Data Modeling: From ERwin to the Cloud

Learn in this article how data modeling has evolved from ERwin to cloud-native tools, boosting efficiency, governance, and AI-driven schema design.

December 24, 2025

by Anisha Sagi

· 1,498 Views · 1 Like

JavaScript Data Grid Comparison: 8 Popular Options Reviewed

I reviewed eight top JavaScript data grids and compared them by performance, customization, accessibility, cost, integration, and devX.

December 24, 2025

by Marina Chernyuk

· 4,476 Views · 3 Likes

Implementing Automated Validation and Anomaly Detection

Ensure high-quality data in large-scale pipelines with automated validation, anomaly detection, and scalable frameworks that maintain accuracy and consistency.

December 23, 2025

by Venkataram Poosapati

· 1,912 Views · 1 Like

Bridging the Gap Between Data Lakes and Warehouses

Data lakehouses combine the flexibility of data lakes with the reliability, performance, and governance features of data warehouses.

December 23, 2025

by Venkataram Poosapati

· 1,269 Views · 2 Likes

Event-Driven Architecture's Dark Secret: Why 80% of Event Streams Are Wasted Resources

Your Kafka topics are bleeding money. Default retention, universal idempotency checks, and unmanaged DLQs waste 80% of event stream resources without anyone noticing.

December 16, 2025

by Dinesh Elumalai

CORE

· 3,300 Views · 8 Likes

Building Cost-Efficient ETL with Apache Spark Structured Streaming

Smart tuning of Spark Structured Streaming — auto-scaling, checkpoint management, and efficient file formats — can cut ETL costs nearly in half while improving latency.

December 16, 2025

by harshraj bhoite

· 1,354 Views · 1 Like

AI Data Storage: Challenges, Capabilities, and Comparative Analysis

Deep dive into the storage challenges in AI scenarios, critical storage capabilities, and comparative analysis of storage products.

December 15, 2025

by Rui Su

· 1,918 Views

Streaming vs In-Memory DataWeave: Designing for 1M+ Records Without Crashing

MuleSoft’s default in-memory DataWeave can’t handle million-record files. Streaming solves this by processing data efficiently without OutOfMemory errors.

December 15, 2025

by Sree Harsha Meka

· 1,642 Views · 2 Likes

Escaping the "Excel Trap": Building an AI-Assisted ETL Pipeline Without a Data Team

Escape Excel silos. Use GitHub Copilot to generate Python pipelines that transform static spreadsheets into dynamic dashboards without manual coding.

December 15, 2025

by Dippu Kumar Singh

· 2,029 Views

Reproducibility as a Competitive Edge: Why Minimal Config Beats Complex Install Scripts

Complex install scripts create fragility, drift, and wasted hours. Reproducibility gives you a real competitive edge in speed, quality, and operational clarity.

December 9, 2025

by Con Hrisikos

· 1,617 Views · 1 Like

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

· 1,609 Views · 1 Like

Is TOON the Next Lightweight Hero in Event Stream Processing With Apache Kafka?

Majorly beneficial for LLM-specific pipelines, we can use TOON to ingest stream data into an Apache Kafka topic, as it's a compact, token-efficient serialization format.

November 28, 2025

by Gautam Goswami

CORE

· 4,356 Views · 1 Like

AWS Airflow vs Step Functions: The Data Engineering Orchestration Dilemma

When you're building data pipelines in AWS, choosing between Managed Airflow and Step Functions isn't just a technical decision — it's a strategic one.

November 27, 2025

by Janani Annur Thiruvengadam

CORE

· 5,253 Views · 2 Likes

Optimizing Trino Performance With Materialized Views in a Data Lake

In this article, learn how Trino materialized views boosted our Iceberg-based data lake, improving real-time query speed, reducing load, and cutting costs.

November 27, 2025

by Mikhail Povolotskii

· 1,569 Views

Revamping Real-Time Data Ingestion for Scalable Media Intelligence

AI-augmented microservices streaming architecture (Spring Boot, Kafka, Elasticsearch) to handle 8.64 million real-time media articles per day.

November 25, 2025

by Sindhukumar Rajakumaran

· 1,392 Views

Advanced Usage of Decodable in Swift: Handling Dynamic Keys

Use DynamicKey to safely decode JSON with unpredictable keys — it avoids fragile if let chains and makes your decoding logic flexible and maintainable.

November 20, 2025

by Ada Kirsch

· 1,496 Views · 1 Like

Iceberg Compaction and Fine-Grained Access Control: Performance Challenges and Solutions

Implementing fine-grained access control on Apache Iceberg can create major performance challenges. Learn how Glue, Redshift, and Athena handle FGAC at scale.

November 19, 2025

by Janani Annur Thiruvengadam

CORE

· 3,405 Views · 2 Likes

Meta Data: How Data about Your Data is Optimal for AI

Metadata enhances AI performance by providing crucial context for models. Learn key benefits, implementation strategies, and real-world examples for smarter AI systems.

November 19, 2025

by Kevin Vu

· 1,470 Views

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