Big Data Resources

Architecting for <1s Latency: Managing Eventual Consistency in Distributed Search Platforms

To maintain sub-second search freshness, logistics systems must actively manage eventual consistency across Kafka ordering, search indexing, and cache invalidation.

September 22, 2026

by Dhruv Goel

· 2,170 Views · 2 Likes

When an iOS Retry Executes an Agent Twice: Building Effectively-Once Tool Workflows With LangGraph, MCP Tasks, Kafka, and App Attest

Stable operation IDs prevent iOS retries from duplicating agent tools across LangGraph, MCP Tasks, Kafka, and App Attest.

September 21, 2026

by Uthej Mopathi

CORE

· 2,186 Views · 3 Likes

MCP vs REST/HTTP API vs Kafka: The Architect's Guide to Agentic AI Integration

MCP, Kafka, and REST APIs are not the same: this comparison maps each to the right layer of your agentic AI architecture.

September 18, 2026

by Kai Wähner

CORE

· 4,130 Views · 1 Like

Event-Driven AI Systems With Kafka and Autonomous Agents

Kafka and autonomous agents enable scalable, event-driven AI systems with reliable orchestration, durable execution, and real-time enterprise decision-making.

September 16, 2026

by Uthej Mopathi

CORE

· 3,776 Views · 4 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

· 2,658 Views · 3 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

· 2,476 Views · 1 Like

Stream Processing on the Mainframe With Apache Flink: Genius or a Glitch in the Matrix?

Apache Flink on the IBM mainframe connects real-time processing with core systems, enabling hybrid cloud and AI without full migration.

September 10, 2026

by Kai Wähner

CORE

· 2,925 Views · 1 Like

Dashboards and Queries for Apache Kafka

Apache Kafka dashboards: when to use them, how to support different query types, and why a context engine often makes the difference.

September 10, 2026

by Kai Wähner

CORE

· 2,770 Views · 2 Likes

From ETL, ELT, and EtLT to Agent: What Is Changing in Enterprise Data Engineering?

Enterprise data engineering is evolving from fixed ETL and ELT pipelines toward EtLT and goal-driven agents, with Apache SeaTunnel as the execution layer.

September 8, 2026

by David Zollo

· 2,946 Views · 1 Like

Handling Large API Responses Without Freezing the Client: A Practical Architecture With Temporal, Kafka, and RAG

Use Temporal for orchestration, Kafka for chunk processing, object storage for payloads, and RAG to retrieve relevant data without overwhelming clients.

September 4, 2026

by Uthej Mopathi

CORE

· 2,998 Views · 3 Likes

Your Spark Job Isn't Slow Because of Bad Code. It's Slow Because of the Wrong Join

Apache Spark job performance issues are frequently caused by improper join strategies leading to excessive data shuffling, rather than suboptimal code.

September 3, 2026

by Syed Siraj Mehmood

· 2,420 Views · 2 Likes

Designing Replay-Safe CDC Pipelines With Kafka, Debezium, and Recovery Contracts

How to design CDC pipelines with Kafka, Debezium, idempotent writes, deterministic projections, replay workflows, reconciliation checks, and recovery evidence.

September 1, 2026

by Ishan Shah

· 3,316 Views · 2 Likes

Real-Time Supply Chain Event Streaming With Kafka and Neo4j

A Kafka producer publishes shipment events, a Python consumer writes them into Neo4j, and a live Plotly dashboard shows network health updating as events arrive.

August 18, 2026

by Akmal Chaudhri

CORE

· 2,330 Views · 1 Like

Orchestrating Small Language Models Without Losing Events or Context

Temporal and Kafka orchestrate small language models reliably through durable workflows, ordered events, idempotency, retries, replay, and context preservation.

August 13, 2026

by Akhil Madineni

CORE

· 2,202 Views · 4 Likes

A Practical Pipeline for Identifying Sensitive Columns Before Test Data Masking

In this article, I will be introducing a pipeline designed to identify sensitive data columns before masking steps and improve the efficiency of the data masking process.

August 10, 2026

by Siyuan Feng

· 1,712 Views · 1 Like

Supply Chain Resilience Analysis With Apache Spark and Neo4j

We model a supply chain in Neo4j using Apache Spark to load data, NetworkX to identify critical nodes, and Cypher to find alternative routes after a disruption.

August 10, 2026

by Akmal Chaudhri

CORE

· 1,738 Views · 2 Likes

How We Cut PyFlink Pipeline p99 Latency from 3-5 Seconds to ~500ms

We eliminated per-record Python-side Protobuf parsing and JVM-to-Python crossings by letting Flink's native Protobuf format decode records directly into typed columns.

August 7, 2026

by Arjun Shah

· 3,553 Views · 2 Likes

TensorFlow vs PyTorch: The Real Difference Isn’t Accuracy

A direct CNN benchmark on CIFAR-10 shows TensorFlow and PyTorch achieve identical accuracy (~68%). Choose TensorFlow for production and PyTorch for flexibility.

August 5, 2026

by Rakshath Naik

· 1,801 Views · 1 Like

Why LLM Pipelines Fail in Production and How Temporal and Kafka Fix Them

LLM pipelines fail from retries, failures, and long-running workflows; Kafka provides reliable event streaming, while Temporal ensures durable, fault-tolerant execution.

August 5, 2026

by Akhil Madineni

CORE

· 3,007 Views · 3 Likes

Why Enterprise AI Agents Fail: A Runtime Data Governance Pattern for Reliable Answers

Why enterprise AI agents fail on production data, and a runtime governance pattern using data contracts, lineage signals, and guardrails to prevent it.

August 3, 2026

by Avinash Maddineni

· 3,036 Views · 4 Likes

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