Big Data Resources

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

· 2,024 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

· 1,733 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

· 2,191 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

· 1,741 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

· 1,731 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

· 4,733 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

· 5,746 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

· 1,697 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

· 1,484 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

· 1,580 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

· 3,591 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

· 1,523 Views

Databricks vs Snowflake: Complete Architecture Mapping for Enterprise AI and Big Data

This guide maps core data, big data, and AI/ML concepts between Databricks and Snowflake, with examples, diagrams, and a framework for choosing or combining the two.

November 13, 2025

by Ram Ghadiyaram

CORE

· 7,809 Views · 7 Likes

Event-Driven Architecture Patterns: Real-World Lessons From IoT Development

Real-world lessons on building event-driven systems for IoT and microservices — and model optimization with practical code examples.

November 10, 2025

by Bhavna Hirani

· 8,295 Views · 6 Likes

Hudi vs. Delta vs. Iceberg: How to Choose the Right Lakehouse Table Format

Hudi excels at real-time upserts, Delta handles ACID workloads, and Iceberg supports large-scale analytics with flexible schemas.

November 10, 2025

by harshraj bhoite

· 4,226 Views · 1 Like

Regression Analysis for Time Series Data: Models and Applications

Ready to use regression analysis for time series data? Explore how this method works in practice to effectively predict future outcomes and drive growth.

November 10, 2025

by Oleksandr Stefanovskyi

· 1,848 Views · 1 Like

Master Production-Ready Big Data, Apache Spark Jobs in Databricks and Beyond: An Expert Guide

Refine Apache Spark performance in Databricks with strategies. Includes expert insights, PySpark examples, and diagrams for efficient data processing.

November 6, 2025

by Ram Ghadiyaram

CORE

· 2,248 Views · 1 Like

5 Critical Databricks Performance Hacks That Most Engineers Miss (100x Faster Queries)

In this article, learn to boost Databricks' performance with six proven optimization strategies for UDFs, AQE, Delta Lake, broadcasts, and Photon acceleration.

November 3, 2025

by Ram Ghadiyaram

CORE

· 3,892 Views · 4 Likes

Delta Lake 4.0 and Delta Kernel: What's New in the Future of Data Lakehouses

Delta Lake 4.0 pushes the lakehouse forward with flexible schemas, stronger transactions, remote, multi‑engine access, self‑optimizing performance, and AI‑ready storage.

November 3, 2025

by Sairamakrishna BuchiReddy Karri

· 3,929 Views · 2 Likes

An Open-Source ChatGPT App Generator

Create fully functional ChatGPT apps using AI — no coding needed. Build and deploy interactive UI widgets directly inside ChatGPT in just minutes.

October 31, 2025

by Thomas Hansen

CORE

· 2,155 Views · 4 Likes

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