Big Data Resources

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

· 1,620 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

· 3,180 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

· 1,689 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

· 2,912 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

· 2,754 Views · 4 Likes

Compliance Reporting Without Losing the Spreadsheet or the Control

Keep the spreadsheet UI for domain experts, but move validation, execution, logging, and export into a governed Java application.

July 14, 2026

by Hawk Chen

CORE

· 4,004 Views · 3 Likes

AWS Glue ETL Design Principles for Production PySpark Pipelines

Learn eight AWS Glue ETL design principles for building production PySpark pipelines that are maintainable, scalable, observable, and cost-efficient.

July 14, 2026

by Janani Annur Thiruvengadam

CORE

· 3,781 Views · 3 Likes

Top 10 Best Places to Prepare for Your Next Data Engineer Interview

Candidates must demonstrate strong SQL, Python, data modeling, ETL, Spark, data warehousing, and system design expertise while solving real-world data challenges.

July 10, 2026

by Rahul Han

· 2,791 Views · 2 Likes

Building Production-Grade Delta Lake Pipelines With Apache Spark on Databricks

This article walks through building a modern Databricks pipeline using the Medallion Architecture, explains Delta Lake's transaction log and ACID guarantees.

July 8, 2026

by Jubin Soni, FBCS

CORE

· 4,611 Views · 3 Likes

Azure Databricks for Scalable MLOps and Feature Engineering With Apache Spark, Delta Lake, and MLflow

A practical guide to feature engineering at scale with Azure Databricks, covering distributed data processing with Spark and reliable storage with Delta Lake.

July 6, 2026

by Jubin Soni, FBCS

CORE

· 6,245 Views · 2 Likes

From Polling to PubSub: Building an Asynchronous OPC UA Stack in Python

The architectural design and engineering required to build a native, asynchronous OPC UA Pub/Sub (IEC 62541-14) stack in Python for the open-source opcua-asyncio library.

July 3, 2026

by Harshith Narasimhan Srivatsa

· 2,432 Views · 2 Likes

Real-Time AI Feature Engineering With Spark Structured Streaming and Databricks Feature Store

How Spark Structured Streaming and the Databricks Feature Store work together to build point-in-time-correct features from Kafka events to streaming transformations.

July 2, 2026

by Jubin Soni, FBCS

CORE

· 7,005 Views · 1 Like

Dead Letter Queue Patterns in Apache Flink: Handling Poison Messages Without Stopping Your Stream

A poison message can trap a Flink job in a restart loop. Use side outputs, retries, tiered DLQs, durable sinks, and replay jobs to keep the stream running.

July 2, 2026

by Rohit Muthyala

· 4,162 Views · 1 Like

Apache Spark Query Optimization on Databricks: Catalyst, AQE, and Photon Engine

Spark query performance on Databricks is driven by a multi-layer optimization stack: Catalyst transforms SQL into optimized execution plans.

July 2, 2026

by Jubin Soni, FBCS

CORE

· 7,034 Views · 1 Like

Fine-Tuning LLMs at Scale With Databricks MLflow and Spark

Learn how Databricks, Apache Spark, MLflow, and Hugging Face Transformers work together to create an end-to-end fine-tuning platform.

June 30, 2026

by Jubin Soni, FBCS

CORE

· 6,256 Views · 1 Like

Data Pipeline Observability: Why Your AI Model Fails in Production

Your machine learning model had 95% accuracy in testing, but crashes in production. The problem isn't the model, it's your data pipeline.

June 26, 2026

by Abhilash Rao Mesala

· 1,887 Views · 2 Likes

Implementing Asynchronous Communication Between Microservices Using Kafka and Spring Boot

Kafka decouples services, buffers spikes, and routes failures to a DLT. Schemas are contracts; consumers must be idempotent.

June 24, 2026

by Mallikharjuna Manepalli

· 3,636 Views · 2 Likes

Data Governance Checklist for AI-Driven Systems

A practical checklist for evaluating AI data readiness, covering data quality, governance, lineage, access controls, retrieval systems, and ongoing monitoring.

June 23, 2026

by Abhishek Gupta

CORE

· 1,997 Views · 3 Likes

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

· 2,699 Views · 2 Likes

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

· 3,139 Views · 2 Likes

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