Data Resources

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

· 2,501 Views · 2 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

· 1,313 Views

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

· 2,423 Views

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

· 2,724 Views · 3 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

· 2,759 Views · 5 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

· 3,049 Views · 3 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

· 1,396 Views · 1 Like

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

· 1,511 Views

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

· 6,824 Views · 1 Like

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

· 2,442 Views · 1 Like

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

· 1,529 Views · 1 Like

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

· 2,512 Views

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

· 4,794 Views · 1 Like

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

· 3,349 Views · 1 Like

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

· 4,247 Views · 1 Like

A System Cannot Protect What It Does Not Understand

Inside the system, there is always a boundary between incoming data and stored state, and that boundary is not passive. It acts like a gatekeeper.

June 4, 2026

by Jan Nilsson

· 2,884 Views

Beyond Manual Annotation: Engineering Self-Correcting Pseudo-Labeling Pipelines

This article details a resilient pseudo-labeling architecture. It combines Redis ingestion, Matryoshka embeddings, XGBoost to neutralize self-training confirmation bias.

June 4, 2026

by Harshith Narasimhan Srivatsa

· 2,346 Views

Building Threat Intelligence Pipelines Using Python, APIs, and Elasticsearch

STIX/TAXII in, ECS normalized, provenance preserved deterministic IDs, correct bulk writes, ingest pipelines keep threat indicator data reliable and queryable under load.

June 3, 2026

by Krishnaveni Musku

· 3,293 Views

How to Save Money Using Custom LLMs for Specific Tasks

MCP transforms AI from "chatbot" to "capable agent" by managing the messy details of tool integration and execution. With local models.

June 3, 2026

by Max Tcvetkov

· 2,198 Views · 4 Likes

Using LLMs to Automate Data Cleaning and Transformation Pipelines

Data cleaning is brittle and time-consuming; LLMs introduce a semantic layer that makes workflows more resilient and easier to maintain.

June 3, 2026

by David Taiwo Balogun

· 3,414 Views · 2 Likes

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