How does a Data Fabric differ from a Data Lake?

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Accepted Answer

A Data Lake is a centralized repository where all raw data is physically dumped and stored. A Data Fabric, however, is a virtualized architectural layer that connects disparate databases (across multi-cloud or on-premise) logically, allowing seamless access without needing to physically move the data. Why is a RAG architecture so critical for enterprise AI? RAG (Retrieval-Augmented Generation) allows GenAI applications to securely retrieve proprietary, up-to-date company data to answer questions. This highly reduces hallucinations and provides accurate answers without the need to expose your private data to train public foundation models. How can Small and Medium Businesses (SMBs) build an AI data pipeline on a tight budget? SMBs can achieve cost-efficiency by utilizing open-source data orchestration tools, leveraging cheap cloud object storage for their Bronze data layers, and utilizing serverless Vector Databases that only charge based on the exact amount of data queried or indexed.

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