Big Data Resources

A Pattern for Intelligent Ticket Routing in ITSM

Manual ticket routing is a hidden tax on IT efficiency. Here is an architectural pattern for using Logistic Regression and Skype status APIs to automate this.

February 10, 2026

by Dippu Kumar Singh

· 1,023 Views

Model Context Protocol Vs Agent2Agent: Practical Integration with Enterprise Data

MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.

February 9, 2026

by Ram Ghadiyaram

CORE

· 1,318 Views · 1 Like

How Global Payment Processors like Stripe and PayPal Use Apache Kafka and Flink to Scale

How top payment processor companies like Stripe, PayPal, Payoneer, and Worldline use data streaming for real-time payments and fraud detection.

February 3, 2026

by Kai Wähner

CORE

· 1,489 Views · 3 Likes

Building an OCR Data Pipeline: From Unstructured Images to Structured Data

How to treat OCR text as just another data source — build a repeatable ingestion, transformation, and validation workflow for unstructured data.

January 28, 2026

by Punitha Ponnuraj

· 2,798 Views · 1 Like

Efficient Sampling Approach for Large Datasets

In this article, we will learn about the central limit theorem and how it helps with random sampling in big-data-related problems.

January 22, 2026

by Rajesh Vakkalagadda

· 1,095 Views

MERGE and Liquid Clustering: Common Performance Issues

A practical look at common pitfalls and performance challenges when using MERGE operations on liquid-clustered Delta tables, and how to avoid them.

January 21, 2026

by Avi Yehuda

· 1,582 Views

Parallel S3 Writes for Massive Sparse DataFrames: How to Maintain Row Order Without Blowing Memory

Learn how to write massive sparse Pandas DataFrames to S3 without OOM errors by using Spark to parallelize index-based chunks while preserving row order.

January 16, 2026

by pooja chhabra

· 1,464 Views · 2 Likes

DevSecOps for MLOps: Securing the Full Machine Learning Lifecycle

Why ML systems are uniquely vulnerable to security attacks — and how MLSecOps closes the gaps in data, models, and pipelines.

January 15, 2026

by Igboanugo David Ugochukwu

CORE

· 1,940 Views · 2 Likes

Apache Spark 4.0: What’s New for Data Engineers and ML Developers

Spark 4.0 brings Spark Connect, enhanced SQL (PIPE, VARIANT), richer Python APIs, and advanced streaming — modernizing Spark for faster, more flexible 2025 workloads.

January 12, 2026

by harshraj bhoite

· 2,009 Views

Serverless Spark Isn't Always the Answer: A Case Study

Processing 500M+ records with 100 concurrent users under a 5-minute SLA demands smart architecture. We evaluate seven compute models and why hybrid approaches often win.

January 12, 2026

by Janani Annur Thiruvengadam

CORE

· 1,486 Views · 1 Like

The Rise of Diskless Kafka: Rethinking Brokers, Storage, and the Kafka Protocol

Diskless Kafka stores all event data in object storage without using brokers for scalable and cost-efficient data streaming architectures.

January 9, 2026

by Kai Wähner

CORE

· 1,704 Views · 2 Likes

Multi-Region Apache Kafka using Synchronous Replication for Disaster Recovery With Zero Data Loss (RPO=0)

Kafka isn’t one-size-fits-all. Choose between self-managed, serverless, or BYOC deployments. New RPO=0 options now enable zero data loss for real-time applications.

January 9, 2026

by Kai Wähner

CORE

· 1,564 Views · 2 Likes

The Hidden Security Risks in ETL/ELT Pipelines for LLM-Enabled Organizations

As LLMs enter data pipelines, ETL/ELT becomes part of the AI security boundary, where untrusted inputs can introduce upstream risks.

January 7, 2026

by Vivek Venkatesan

· 3,327 Views · 2 Likes

Solving the Cold Start Problem in Edge AI: A Guide to Data-Saving Learning

Update edge AI models efficiently using Mix Up and contribution sampling to overcome domain shift with minimal data, ensuring continuous evolution without forgetting.

January 6, 2026

by Dippu Kumar Singh

· 3,545 Views

Metadata, Not Data Volume, Is the Real Bottleneck in Modern Data Lakes

In Apache Iceberg data lakes, growing snapshots and manifests often make metadata resolution — not data scanning — the primary performance bottleneck.

January 6, 2026

by Vivek Venkatesan

· 3,277 Views

LLMs in Data Engineering: How Generative AI is Changing ETL and Analytics

LLMs reshape data engineering by automating ETL tasks, enabling natural language analytics, and empowering faster, smarter decision-making without replacing engineers.

January 1, 2026

by harshraj bhoite

· 2,642 Views · 1 Like

Rethinking Cloud Compliance With an AI-Driven Approach

Learn how AI transforms cloud compliance with continuous monitoring, automated risk assessment, and intelligent data governance for secure operations.

December 30, 2025

by Atish Kumar Dash

· 1,767 Views · 2 Likes

Data Modeling: From ERwin to the Cloud

Learn in this article how data modeling has evolved from ERwin to cloud-native tools, boosting efficiency, governance, and AI-driven schema design.

December 24, 2025

by Anisha Sagi

· 1,427 Views · 1 Like

JavaScript Data Grid Comparison: 8 Popular Options Reviewed

I reviewed eight top JavaScript data grids and compared them by performance, customization, accessibility, cost, integration, and devX.

December 24, 2025

by Marina Chernyuk

· 3,828 Views · 3 Likes

Implementing Automated Validation and Anomaly Detection

Ensure high-quality data in large-scale pipelines with automated validation, anomaly detection, and scalable frameworks that maintain accuracy and consistency.

December 23, 2025

by Venkataram Poosapati

· 1,728 Views · 1 Like

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