Data Resources

Compose Architecture, Done Right: MVI’s Unidirectional State vs. MVVM

TL;DR: Compose wants one-way data and a single UiState. MVI delivers that-fewer surprises, cleaner tests, and explicit effects.

November 12, 2025

by Mohan Sankaran

· 2,126 Views · 6 Likes

The DSPM Paradox: Perceived Controls for an Uncontrollable Data Landscape

You can't stop every burglar, but you can ensure your valuables are in a safe they can't crack. Why DSPM tools create an illusion of control in modern data security.

November 12, 2025

by Hamid Akhtar

· 1,325 Views

Decentralized Identity Management: The Future of Privacy and Security

As more of our information goes digital and cybersecurity awareness increases, DIM feels like the natural next step of identity management.

November 11, 2025

by Ben Hartwig

· 3,644 Views · 2 Likes

Event-Driven Architecture Patterns: Real-World Lessons From IoT Development

Real-world lessons on building event-driven systems for IoT and microservices — and model optimization with practical code examples.

November 10, 2025

by Bhavna Hirani

· 8,080 Views · 6 Likes

Hudi vs. Delta vs. Iceberg: How to Choose the Right Lakehouse Table Format

Hudi excels at real-time upserts, Delta handles ACID workloads, and Iceberg supports large-scale analytics with flexible schemas.

November 10, 2025

by harshraj bhoite

· 3,981 Views · 1 Like

Regression Analysis for Time Series Data: Models and Applications

Ready to use regression analysis for time series data? Explore how this method works in practice to effectively predict future outcomes and drive growth.

November 10, 2025

by Oleksandr Stefanovskyi

· 1,715 Views · 1 Like

Unlocking Modernization: SUSE Virtualization on Arm64 With Harvester

Learn about how SUSE Virtualization and Ampere enable energy-efficient cloud modernization with Arm64 support, unifying VMs and containers on one platform.

November 6, 2025

by Craig Hardy

· 3,311 Views · 2 Likes

Master Production-Ready Big Data, Apache Spark Jobs in Databricks and Beyond: An Expert Guide

Refine Apache Spark performance in Databricks with strategies. Includes expert insights, PySpark examples, and diagrams for efficient data processing.

November 6, 2025

by Ram Ghadiyaram

CORE

· 2,149 Views · 1 Like

AIOps to Agentic AIOps: Building Trustworthy Symbiotic Workflows With Human-in-the-Loop LLMs

Build secure, human-in-the-loop AIOps workflows using agentic AI for smart alert triage, context summarization, and automated, safe incident resolution.

November 4, 2025

by Pratik Prakash

CORE

· 3,563 Views

5 Critical Databricks Performance Hacks That Most Engineers Miss (100x Faster Queries)

In this article, learn to boost Databricks' performance with six proven optimization strategies for UDFs, AQE, Delta Lake, broadcasts, and Photon acceleration.

November 3, 2025

by Ram Ghadiyaram

CORE

· 3,698 Views · 4 Likes

Delta Lake 4.0 and Delta Kernel: What's New in the Future of Data Lakehouses

Delta Lake 4.0 pushes the lakehouse forward with flexible schemas, stronger transactions, remote, multi‑engine access, self‑optimizing performance, and AI‑ready storage.

November 3, 2025

by Sairamakrishna BuchiReddy Karri

· 3,703 Views · 2 Likes

Streamlining Real-Time Ad Tech Systems: Techniques to Prevent Performance Bottlenecks

Ad tech platforms depend on microscopic efficiency. Profiling and disciplined logging collectively cut waste and latency, turning scale into sustainable profit.

October 31, 2025

by Jeet Nishit Mehta

· 2,042 Views · 1 Like

When Coalesce Is Slower Than Repartition: A Spark Performance Paradox

In this article, learn why repartition() can outperform coalesce() in Apache Spark — and how Catalyst optimizer pushdown can throttle your job’s parallelism.

October 30, 2025

by Janani Annur Thiruvengadam

CORE

· 2,946 Views · 3 Likes

How to Get a Frequency Table of a Categorical Variable as a Data Frame

Learn how to get a frequency table of a categorical variable as a Data Frame in R using table(), cut(), count(), and plyr — with clean, ready-to-use output.

October 30, 2025

by Chaitanya Sagar

· 1,521 Views · 1 Like

From Autocomplete to Co-Creation: How AI Changes Developing/Debugging Workflows in Engineering

AI is not a replacement for engineers but a powerful partner that accelerates coding, debugging, and learning; human judgment still drives the real innovation.

October 29, 2025

by Aishwarya Murali

· 2,560 Views · 1 Like

End of Static Knowledge Bases? How MCP Enables Live RAG

Learn why static RAG systems fail over time and how the Model Context Protocol (MCP) enables live, hybrid AI architectures that stay accurate and up to date.

October 29, 2025

by Janani Annur Thiruvengadam

CORE

· 2,731 Views · 2 Likes

Debugging a Spark Driver Out of Memory (OOM) Issue With Large JSON Data Processing

This article draws on real-world debugging experience and aims to provide insights into Spark's memory management challenges.

October 29, 2025

by Raju Ansari

· 2,511 Views · 2 Likes

HSTS Beyond the Basics: Securing AI Infrastructure and Modern Attack Vectors

HTTP Strict Transport Security (HSTS) is a web security policy mechanism that helps protect websites against protocol downgrade attacks and cookie hijacking.

October 29, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,281 Views · 4 Likes

Building Cloud Ecosystems With Autonomous AI Agents: The Future of Scalable Data Solutions

Autonomous AI agents transform cloud ecosystems by automating data workflows, enhancing scalability, governance, and real-time analytics for resilient operations.

October 28, 2025

by Aravind Nuthalapati

CORE

· 10,597 Views · 1 Like

Data Migration in Software Modernization: Balancing Automation and Developers’ Expertise

Learn how to balance automation tools and developer logic to ensure clean transitions, reduce time to market, and build scalable software foundations.

October 28, 2025

by Sergey Laptick

· 1,492 Views

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