Data Engineering Resources

Distributing Massive AI Models With Network-Layer Multicast

This article explains why network-layer multicast solves the bottleneck, how it works in practice, and where it still falls short.

September 15, 2026

by Vijayananda jayaraman

· 1,748 Views · 3 Likes

dbt Meets Apache Flink: One Workflow for Data Engineers

dbt meets Apache Flink: one SQL workflow for data engineers across Snowflake, BigQuery, Databricks, and real-time streaming pipelines on Confluent Cloud.

September 15, 2026

by Kai Wähner

CORE

· 1,840 Views

How I Built a Storage System for My Agent’s Memory

Learn why an agent's memory is more than a chat history and how to build a small, testable storage that agents can use across tasks.

September 14, 2026

by Markus Eisele

· 2,210 Views · 3 Likes

Data Governance for the Agentic Era

This article explores how modern data governance and AI-ready architecture help enterprises manage data quality, risk, compliance, and AI at scale.

September 14, 2026

by Dr Gopala Krishna Behara

CORE

· 2,294 Views · 2 Likes

Building a 2KB Histogram with Sub-0.2% Percentile Error

It uses float-like encoding for O(1) bucket indexing and trapezoid interpolation for accurate percentile estimation — with no floating-point math on the recording path.

September 14, 2026

by bingxi Wu

· 1,085 Views · 1 Like

A Practical Framework for Scoping an AI Proof of Concept

Most AI POCs fail at scoping, not coding. Set one measurable goal, verify the data, box the time and cost, and agree kill criteria before you build.

September 14, 2026

by Paul Schloss

· 1,579 Views · 1 Like

A Firewall for AI Agents: Enforce Authority at Every Tool Call

The control that actually stops an AI agent from causing harm runs on its tool calls, not on the words going into the model.

September 14, 2026

by Jithu Paulose

· 2,345 Views

Freshness as a First-Class Schema Concern: Modeling Data Staleness Across 83 Data Sources

How I modeled data freshness as a first-class schema concern across 83 sources, so the atlas never lies about how old its numbers are.

September 14, 2026

by Josie Leung

· 1,451 Views

When TypeScript Types Meet Untrusted AI: Building Type-Safe LLM Pipelines With Runtime Validation

Learn in this article how to treat LLM output as unknown until runtime schema validation proves it safe for typed application logic.

September 11, 2026

by Bhanu Sekhar Guttikonda

CORE

· 3,067 Views · 1 Like

Your AI Coding Assistant Stopped Suggesting and Started Shipping. Now What?

Coding assistants are evolving beyond autocomplete. Here's how coding agents are changing software development and why human judgment still matters.

September 11, 2026

by Atul Kumar

· 2,576 Views · 2 Likes

Prompt Caching: Overriding Tokenization for Faster and More Cost-Effective AI

Prompt caching allows AI systems to reuse the processing of unchanged token sequences, resulting in faster inference, lower latency, and reduced costs.

September 11, 2026

by Ravi Ranjan Shahi

· 3,463 Views

Replacing JSON With Protobuf in Your Microservice Mesh: A Zero-Downtime Migration Blueprint

JSON hurts at scale. Protobuf cuts payload size by ~72%, reduces CPU overhead, and enforces typed contracts. However, it needs careful schema management.

September 11, 2026

by Bansidhar kadiya

· 3,087 Views · 2 Likes

Improving Repeated Analytics Workloads With Databricks Disk Cache

Databricks disk cache speeds up repeated reads from curated Parquet or Delta tables, but it works best with good table design and partitioning.

September 11, 2026

by Harsh Patel

· 2,308 Views

Member Spotlight: Abhishek Sharma

Meet DZone community member Abhishek Sharma as he shares his tech journey, continuous learning, enterprise architecture insights, and life beyond work.

September 11, 2026

by Dominique Roller

· 3,043 Views · 1 Like