Data Resources

Serverless Spark Isn't Always the Answer: A Case Study

Processing 500M+ records with 100 concurrent users under a 5-minute SLA demands smart architecture. We evaluate seven compute models and why hybrid approaches often win.

January 12, 2026

by Janani Annur Thiruvengadam

CORE

· 1,591 Views · 1 Like

Mastering Fluent Bit: Developer Guide to Telemetry Pipeline Routing (Part 12)

This intro to mastering Fluent Bit covers telemetry pipeline routing mechanisms, tag-based, conditional, and label-based, with hands-on examples for developers.

January 9, 2026

by Eric D. Schabell

CORE

· 1,582 Views · 2 Likes

Essential Techniques for Production Vector Search Systems Part 2 - Binary Quantization

Proven techniques for production vector search including when to use each one, how to combine them effectively, trade offs to understand before deployment.

January 9, 2026

by Pavan Vemuri

CORE

· 1,941 Views · 3 Likes

Multi-Region Apache Kafka using Synchronous Replication for Disaster Recovery With Zero Data Loss (RPO=0)

Kafka isn’t one-size-fits-all. Choose between self-managed, serverless, or BYOC deployments. New RPO=0 options now enable zero data loss for real-time applications.

January 9, 2026

by Kai Wähner

CORE

· 1,625 Views · 2 Likes

Essential Techniques for Production Vector Search Systems Part 1 - Hybrid Search

Proven techniques for production vector search including when to use each one, how to combine them effectively, and trade offs to understand before deployment.

January 8, 2026

by Pavan Vemuri

CORE

· 2,040 Views · 2 Likes

Secure Log Tokenization Using Aho–Corasick and Spring

This article shows how to use the Aho–Corasick algorithm and deterministic tokenization in Spring Boot to intercept logs in real time, remove sensitive values.

January 8, 2026

by Balakumaran Sugumar

· 2,068 Views · 3 Likes

Solving the Cold Start Problem in Edge AI: A Guide to Data-Saving Learning

Update edge AI models efficiently using Mix Up and contribution sampling to overcome domain shift with minimal data, ensuring continuous evolution without forgetting.

January 6, 2026

by Dippu Kumar Singh

· 3,604 Views

Metadata, Not Data Volume, Is the Real Bottleneck in Modern Data Lakes

In Apache Iceberg data lakes, growing snapshots and manifests often make metadata resolution — not data scanning — the primary performance bottleneck.

January 6, 2026

by Vivek Venkatesan

· 3,351 Views

Why Data Engineers Need to Think Like Product Managers

Data engineers who think like product managers build more valuable, trusted, and user-centric data systems; they focus on outcomes, ownership, and UX, not just pipelines.

January 6, 2026

by harshraj bhoite

· 2,295 Views

Understanding Parquet Scans: How Readers Skip Work and Stay Fast

Parquet accelerates scans by skipping data through metadata driven pushdowns. This article explains how the main mechanisms work in practice.

January 6, 2026

by Hitarth Trivedi

· 2,487 Views · 1 Like

A Practical Guide to Semantic Caching With Redis LangCache

Learn how to use Redis LangCache to semantically cache LLM prompts and responses, reducing inference costs and improving performance.

January 6, 2026

by Subhashini Raman

· 2,926 Views · 2 Likes

Unlocking Hidden Value in Dirty Data: A Practical NLP Pattern for Legacy Records

Legacy systems are full of free-text fields where valuable business data goes to die. NLP pipelines turn messy maintenance logs into structured, actionable insights.

January 5, 2026

by Dippu Kumar Singh

· 1,342 Views · 5 Likes

Securing Verifiable Credentials With DPoP: A Spring Boot Implementation

DPoP binds access tokens to a client's key so even if intercepted, they can't be misused. It's mandatory for EUDI/HAIP 1.0 and supported since Spring Boot 3.5.

January 5, 2026

by Kyriakos Mandalas

CORE

· 4,019 Views · 4 Likes

Tired of Reverse-Engineering Code? A Data-First Pattern for Legacy Modernization

Legacy modernization fails because teams try to decipher millions lines of code. Here is a pattern to slim down systems by reverse-engineering the data.

January 2, 2026

by Dippu Kumar Singh

· 2,592 Views · 2 Likes

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

· 2,840 Views · 1 Like

Airflow vs. Dagster vs. Prefect: Which Scheduler Fits Your Data Team?

Airflow scales for enterprises, Dagster excels in developer experience and observability, and Prefect offers simplicity for smaller teams.

January 1, 2026

by harshraj bhoite

· 6,236 Views · 1 Like

How Unified Data Pipelines Transform Modern AI Infrastructure

AI now uses diverse data types, and old pipelines struggle. Unified data flows centralize data, simplifying management and improving model training and performance.

December 31, 2025

by Samuel Ogbonna

· 1,597 Views · 1 Like

Building Unified, Access-Aware Search in a Data Mesh

By indexing authorization alongside metadata, we delivered fast, trustable search that shows every user exactly what they’re allowed to see

December 30, 2025

by Anshul Pathak

· 1,484 Views

AI-Driven Schema Evolution and Adaptive Pipelines

AI-driven schema evolution enables self-healing data pipelines that autonomously detect, adapt to, and govern continuous schema changes for reliable enterprise analytics.

December 25, 2025

by Rambabu Bandam

· 2,123 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

· 4,119 Views · 3 Likes

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