This story was originally published on HackerNoon at: https://hackernoon.com/data-platform-as-a-service-a-three-pillar-model-for-scaling-enterprise-data-systems.
DPaaS solves the enterprise data scalability paradox with declarative policies, multi-plane architecture, and continuous reconciliation.
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This story was written by: @anilkumarkandalam. Learn more about this writer by checking @anilkumarkandalam's about page, and for more stories, please visit hackernoon.com.

Enterprise data platforms hit scaling limits because centralized teams can't grow fast enough to handle organizational complexity. Data Platform as a Service (DPaaS) solves this through declarative policies, multi-plane architecture, and continuous reconciliation. Enabling self service autonomy that delivers significant operational overhead reduction and faster development without proportional engineering headcount growth.

This story was originally published on HackerNoon at: https://hackernoon.com/how-rag-improves-database-management.
RAG is transforming database management with accurate retrieval, real-time insights, and natural language querying to help teams manage and understand data inte
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This story was written by: @victorhorlenko. Learn more about this writer by checking @victorhorlenko's about page, and for more stories, please visit hackernoon.com.

RAG transforms database management by combining intelligent retrieval with LLMs to deliver accurate, real-time, natural-language insights across structured and unstructured data. It enhances accuracy, speeds decision-making, reduces manual querying, and sets the stage for conversational, AI-driven data systems.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-power-ai-analytics-and-microservices-using-the-same-data.
Adam Bellemare explains how data streaming unifies AI, analytics, and microservices—solving data access challenges through real-time, scalable pipelines.
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This story was written by: @confluent. Learn more about this writer by checking @confluent's about page, and for more stories, please visit hackernoon.com.

Adam Bellemare, Principal Technologist at Confluent, explores how data streaming solves long-standing data access issues for AI, analytics, and microservices. By decoupling producers from consumers and enabling real-time, low-latency data flow, streaming creates a unified data layer that powers GenAI, RAG, and event-driven systems across organizations.

This story was originally published on HackerNoon at: https://hackernoon.com/from-data-fragmentation-to-billion-dollar-insights-the-vision-of-manish-ravindra-sharath.
Manish Ravindra Sharath unified fragmented enterprise data using PySpark & cloud-native systems,boosting efficiency 99% and driving multimillion-dollar growth.
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This story was written by: @sanya_kapoor. Learn more about this writer by checking @sanya_kapoor's about page, and for more stories, please visit hackernoon.com.

Manish Ravindra Sharath transformed enterprise decision-making by architecting a unified PySpark-powered data pipeline that cut reporting time from 30+ hours to 30 minutes. His system achieved 99% efficiency, 40% cost reduction, and 30% faster deal closures—turning fragmented data into billion-dollar insights driving global business performance.

This story was originally published on HackerNoon at: https://hackernoon.com/building-a-layered-defense-against-web-scraping.
Discover how a three-layer data-protection model blends AI, risk-based gating, and legal context to stop web scraping while preserving user trust.
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This story was written by: @areejit1. Learn more about this writer by checking @areejit1's about page, and for more stories, please visit hackernoon.com.

The web-scraping industry is no longer niche. Valued at USD 1.03 billion in 2025, it is projected to nearly double by 2030. Traditional defenses rate limiting, CAPTCHAs, IP bans are brittle against modern toolkits. A layered defense acknowledges this tension.

This story was originally published on HackerNoon at: https://hackernoon.com/cosmo-the-graph-visualization-tool-built-for-your-terminal.
Cosmo is a terminal-based interactive graph visualizer that automatically layouts and displays complex data structures for quick exploration.
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This story was written by: @hacker227143. Learn more about this writer by checking @hacker227143's about page, and for more stories, please visit hackernoon.com.

Cosmo is a fast, interactive graph visualizer that makes graphs and trees easy to understand, beautifully arranged, and fully explorable without ever leaving your command line. Pass your data structures directly from code or file and see them come to life.

This story was originally published on HackerNoon at: https://hackernoon.com/how-businesses-are-turning-space-data-into-a-tool-for-risk-resilience-and-sustainability.
Satellites are reshaping insurance, supply chains, and sustainability—here’s how space data became core to global business strategy.
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This story was written by: @150sec. Learn more about this writer by checking @150sec's about page, and for more stories, please visit hackernoon.com.

The global space economy is evolving from exploration to infrastructure. Businesses across insurance, sustainability, and supply chains now rely on satellite data for real-time insights that help manage risk, track biodiversity, forecast disruptions, and meet new reporting standards. As costs drop and access expands, space data has become an essential layer of corporate intelligence—turning orbit into opportunity.

This story was originally published on HackerNoon at: https://hackernoon.com/how-data-innovation-changed-a-states-infrastructure-engine.
Deepak Chanda modernized Massachusetts’ infrastructure systems through data-driven process innovation—turning inefficiency into lasting operational reform.
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This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.

Amid bureaucratic stagnation in Massachusetts’ public works, Senior Data Analyst Deepak Chanda led a quiet revolution. By digitizing blueprint reviews and adding a simple SQL field to track project sign-offs, he cut delays and saved taxpayer dollars. His philosophy—good data should shape the world, not just describe it—continues to drive progress across healthcare and insurance.