Sold by: EnablerMinds
EnablerMinds' Intelligent Data Lakehouse Framework is a modular, metadata-driven solution that accelerates the journey from raw data to AI- and LLM-ready insights. Built to unify the flexibility of data lakes with the performance of data warehouses, it enables secure, governed, and scalable analytics without excessive engineering effort. The framework features prebuilt pipeline templates, automated data onboarding, DevOps integration, and enterprise-grade security — helping organizations simplify their data architecture, reduce time-to-insight, and future-proof their data strategy. With built-in support for modern LLM DataOps workflows — including vector-ready pipelines, data quality checks, and automated lineage tracking — it lays the foundation for retrieval-augmented generation (RAG) and GenAI use cases. Designed for speed, reusability, and automation, it’s ideal for companies seeking to modernize their data stack with minimal friction.
Overview
EnablerMinds’ Intelligent Data Lakehouse Framework is a battle-tested, consultancy-led solution designed to accelerate enterprise data and AI transformation on AWS. It empowers customers to reduce data engineering effort, increase time-to-value, and build future-proof data architectures with native support for GenAI and LLM workloads.
Built on AWS-native services such as Amazon S3, Glue, Redshift, EMR, and Lambda, the framework delivers secure, governed, and scalable data pipelines — from ingestion to insight. Its metadata-driven design supports code-free onboarding of new data sources, while reusable pipeline templates and out-of-the-box connectors (e.g., APIs, Oracle, Salesforce, SFTP) simplify integration across heterogeneous environments.
Where it truly differentiates is in LLM DataOps enablement. The framework supports vector-ready pipelines, RAG-compliant data transformations, and end-to-end lineage tracking — critical for GenAI use cases such as semantic search, document intelligence, and autonomous agents. It also embeds DevOps best practices, with full CI/CD, version control, monitoring, and infrastructure-as-code for streamlined deployment and governance.
Deployed in production across industries including manufacturing, automotive, finance, and logistics, the Intelligent Data Lakehouse Framework enables partners to confidently position a high-impact, scalable solution for customers modernizing on AWS. Whether the goal is analytics modernization, AI model training, or deploying intelligent agents, EnablerMinds provides the architecture, expertise, and execution capabilities to make it real — fast.
Highlights
- Accelerate Data-to-AI Journey with Metadata-Driven Lakehouse. Transform raw data into AI-ready insights using prebuilt pipeline templates, automated onboarding, and vector-ready transformations for GenAI and RAG use cases on AWS.
- Enterprise-Grade Security & Governance with DevOps Integration. Deploy secure, compliant data pipelines with built-in masking, lineage tracking, CI/CD automation, and infrastructure-as-code across S3, Glue, Redshift, and EMR.
- Battle-Tested Framework for LLM DataOps & Analytics Modernization. Production-proven across manufacturing, finance, and logistics with code-free source integration, reusable connectors, and native support for semantic search and intelligent agents.
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