Data Resources

The Real-Time Revolution: Why Blockchain Needs Data Stream Processing

Blockchain and data streaming are bringing unprecedented levels of security, transparency, and real-time mechanisms to move data across the digital world.

June 17, 2026

by Gautam Goswami

CORE

· 2,924 Views · 2 Likes

Intelligent Matching and Semantic Search for Marketplace Applications Using OpenAI and .NET

Learn how to build AI-powered semantic search and intelligent matching systems for marketplace platforms using OpenAI embeddings and .NET.

June 17, 2026

by Omer Yilmaz

· 2,154 Views · 1 Like

Parallel Kafka Batch Processing With Kotlin Coroutines in Spring Boot

Learn how Kotlin Coroutines improve Spring Boot Kafka batch processing with parallel execution, resource throttling, and faster database operations.

June 16, 2026

by Erkin Karanlık

· 3,369 Views · 2 Likes

Cutting Data Pipeline Costs and Data Freshness Issues With Netflix Maestro and Apache Iceberg: A Practical Tutorial

Iceberg replaces filesystem state with a metadata tree (cheap queries, ACID snapshots). Maestro replaces cron with event signals (fresh data).

June 16, 2026

by Intiaz Shaik

· 6,059 Views · 4 Likes

Reducing RAG Hallucinations With Relationship-Aware Retrieval

An architectural idea and how it addresses the retrieval weaknesses that lead to hallucinations, with a reference implementation using RudraDB.

June 16, 2026

by Mahesh Vaijainthymala Krishnamoorthy

· 1,913 Views · 1 Like

From ETL to Lakeflow: Shifting to a Declarative Data Paradigm

The article focuses on moving away from traditional, "imperative" ETL processes to a modern, "declarative" approach using the Databricks Lakeflow platform.

June 15, 2026

by Seshendranath Balla Venkata

· 3,346 Views · 3 Likes

Building a Vector Index in Azure AI Search: HNSW, Profiles, and RAG Retrieval

Use Azure AI Search as your RAG vector store. Build a Python example: define an HNSW vector index, upload embeddings, and run k-NN queries.

June 15, 2026

by Jubin Soni, FBCS

CORE

· 6,403 Views · 1 Like

Stop Loading Everything into Redshift: A Spectrum + Iceberg Pattern for Hybrid Analytics

Store large and cold datasets in Iceberg on S3, query them through Spectrum, and reserve Redshift local tables for workloads that need low latency or high concurrency.

June 12, 2026

by Vivek Venkatesan

· 2,857 Views · 1 Like

Operationalizing Enterprise AI at Scale: Architecture, Governance, and Adoption

Enterprise AI success depends on scalable architecture, governance automation, AI operations, observability, and developer-first enablement strategies.

June 12, 2026

by Aravind Nuthalapati

CORE

· 3,624 Views · 4 Likes

Native SQL in Java Without JDBC Boilerplate — Meet Ujorm3

Ujorm3 eliminates JDBC boilerplate without a full ORM. Write native SQL with named parameters, get objects back — including nested relations.

June 11, 2026

by Pavel Ponec

· 3,058 Views · 6 Likes

Rust-Native Alternatives to Spark SQL and DataFrame Workloads

Sail is an open-source computation framework that serves as a drop-in replacement for Apache Spark (SQL and DataFrame API) in both single-host and distributed settings.

June 11, 2026

by Srinivasarao Rayankula

· 4,380 Views · 4 Likes

Orchestrating Zero-Downtime Deployments With Temporal

Temporal provides the durable control plane for safe zero-downtime deployments across canaries, approvals, retries, and rollbacks.

June 10, 2026

by Akhil Madineni

CORE

· 1,846 Views · 3 Likes

Amazon OpenSearch Vector Search Explained for RAG Systems

Use Amazon OpenSearch k-NN as your RAG vector store. Build a small Python example: create the index, embed docs, search by meaning.

June 9, 2026

by Jubin Soni, FBCS

CORE

· 6,456 Views · 1 Like

Token Attribution Framework for Agentic AI in CI/CD

A practical framework for tracking attribution, setting budgets, and circuit-breaking spending on LLM in your CI/CD pipeline by using an OpenTelemetry implementation.

June 9, 2026

by Intiaz Shaik

· 7,700 Views · 2 Likes

The Big Data Architecture Blueprint: Core Storage, Integration, and Governance Patterns

This comprehensive technical guide breaks down the essential architectural, storage, and integration patterns required to scale enterprise big data platforms.

June 8, 2026

by Ram Ghadiyaram

CORE

· 3,496 Views · 3 Likes

Production-Grade RAG: Why Vector Search Isn't Enough (and How Hybrid Search Fills the Gaps)

RAG pipelines are getting more and more popular with vector search at the core of them. However, vector search might not be just enough for high-quality retrieval.

June 8, 2026

by Alejandro Duarte

CORE

· 1,942 Views · 3 Likes

From 24 Hours to 2 Hours: How We Fixed a Broken BI System With Apache Airflow

Broken pipelines, inaccurate data, frustrated stakeholders. Here is what we did about it and what I wish I had known before we started.

June 5, 2026

by Chinni krishna Abburi

· 2,798 Views · 1 Like

Is the Data Warehouse Dead? 3 Patterns From Enterprise Architecture That Answer This Question

No, but its role has fundamentally changed. Here is what I have seen work, after building data platforms at enterprise scale across multiple industries.

June 5, 2026

by Nabarun Bandyopadhyay

· 5,793 Views · 2 Likes

Why Round-Robin Won't Save You: Load Balancing Challenges in Data Streaming Services With Heterogeneous Traffic

Throughput-based load balancing breaks down when streaming messages have heterogeneous processing costs — the fix is balancing on actual per-partition resource usage.

June 5, 2026

by Semyon Slepov

· 3,642 Views · 2 Likes

Good Data, Bad Metric: A Mutation Testing Pattern for Analytics Engineering

A mutation testing pattern for analytics metrics that checks if validation catches realistic business logic errors early.

June 4, 2026

by Prateek Arora

· 4,713 Views · 2 Likes

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