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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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.