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Reusable Data Products for GenAI Unifying Databases, PDFs, and Logs
Reusable data products unify databases, PDFs, and logs with metadata, validation, and lineage to enable join-aware RAG retrieval for reliable GenAI applications.
Data Products
Governed Self-Service Data: A Metadata-First, No-Code Approach for Business Users
Governed self-service data embeds metadata controls, quality guardrails, and access policies. This enables business users to explore and transform data in no-code while preventing metric drift.
From Fragmented Enterprise Data to AI-Ready Data Products for Agentic RAG
Agentic RAG systems fail when data is fragmented, stale, or inconsistent. Learn how AI-ready data products with standardized schemas, governance, and retrieval metadata enable reliable, scalable RAG applications.
From Raw Customer Feeds to Scalable, Reusable Data Products
Customer API and CSV feeds create engineering bottlenecks. Learn how to standardize raw customer data into governed, reusable data products using Common Data Models—eliminating custom integrations and scaling onboarding.
Turn Raw Feeds Into Reusable Data Products With Metadata-Intelligent Integration
Raw feeds without context create endless rework. This metadata-first blueprint shows how to turn changing source feeds into governed, reusable data products with automated validation, lineage, and GenAI-ready contracts.
Featured
AI-Ready Data Checklist: Ten Things to Validate Before You Build an LLM Pipeline
Essential checklist for validating AI-ready data before building LLM pipelines. Learn the 10 critical steps ML teams must follow to ensure quality, freshness, and compliance.
Featured
From Hallucinations to Trust: Context Engineering for Enterprise AI
Context engineering is the systematic practice of designing and controlling the information AI models consume at runtime, ensuring outputs are accurate, auditable, and compliant.
Nexla Partners with Microsoft to Supercharge Microsoft 365 Copilot with Access to 500-Plus Enterprise Data Sources
Nexla brings 500+ pre-built data connectors to Microsoft 365 Copilot, enabling organizations to easily integrate internal and third-party data for smarter AI workflows.
How to Choose the Right Automated ETL Tools for a Data-Driven Startup?
Learn how to choose the right automated ETL tools for your startup. Discover key selection factors, compare top platforms, and find solutions that scale with your business growth.
CDM in Action: Creating Reusable Data Products
Poor data management can cost organizations 15–20% of revenue. Reusable, scalable data products help—but only if they’re consistent and reliable. A Common Data Model (CDM) standardizes and structures data, ensuring accuracy, scalability, and long-term value.
What Is the Difference Between Fivetran and Nexla
Fivetran and Nexla are leading data integration platforms, but they take different approaches. Learn how they compare on features, deployment, and governance to find the right fit for your data strategy.
Iceberg Operational Toolkit: Advantages & Cataloging
Dive into Apache Iceberg’s benefits. Reliable pipelines need strong operations, from catalog options to lakehouses. Learn about time travel, schema evolution, and best practices for scalable maintenance with Nexla.
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