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Intelligent Data Express (IDX)
Accelerating Modernization on Databricks with Intelligent Data Express (IDX)
Accelerating Modernization on Databricks with Intelligent Data Express (IDX)
Intelligent Data Express (IDX) is an AI-powered Data Modernization accelerator designed to streamline Data Lakehouse management on Databricks. It’s an industry proven accelerator that provides a comprehensive solution that emphasizes self-service capabilities, robust governance & observability, and AI-assisted automation.
The core idea with IDX is to empower business users and data professionals to manage data pipelines and derive insights more efficiently. IDX facilitates this through web & conversational interfaces, standardized data management processes, and integrated observability, aiming to reduce operational overhead, minimize downtime, and accelerate insight generation from complex data sources.
Intelligent Data Express (IDX) is an AI-powered Data Modernization accelerator designed to streamline Data Lakehouse management on Databricks. It’s an Industry Proven accelerator that provides a comprehensive solution that emphasizes self-service capabilities, robust governance & observability, and AI-assisted automation.
The core idea with IDX is to empower business users and data professionals to manage data pipelines and derive insights more efficiently. IDX facilitates this through web & conversational interfaces, standardized data management processes, and integrated observability, aiming to reduce operational overhead, minimize downtime, and accelerate insight generation from complex data sources.
Building and managing data pipelines is often time-consuming and fragmented. IDX eliminates this friction by offering an AI-powered low/no code self-service user interface (built on top of a modular, metadata-driven framework), that allows users to manage data pipelines (ingestion, transformation, data enrichment, data testing and data egress) and also perform natural language data analysis.
It also has integrated Data Engineering Co-Pilot experience and a Data Marketplace module for building, publishing and consuming Analytical Data Products for unlocking powerful insight democratization.
Low-code/no-code interfaces (Web UI, REST APIs, Agentic Assistants) for all personas. Integrated MCP servers for any Agent Process Integration.
Unified framework for ingestion, transformation, orchestration, and standardization with built-in auditing, logging, and alerting.
Automated data profiling, validation, and RBAC frameworks for enterprise-grade trust.
AI-powered Catalog and knowledge graph to enable easy data discovery and lineage tracking.
Unified view of data, pipeline, infrastructure, and cost metrics, improving reliability and operational efficiency.
Interact with data using natural language. No SQL or PySpark required. AI-powered unstructured data processing for deeper insights.
Uses the powerful capabilities of Cloud & Databricks native and open-source technologies and provides scalability, elasticity etc.
AI-Assisted Modern Data Lakehouse on Databricks for:
Reduce Greenfield setup time by 40%
Enable users to build pipelines in minutes, cutting onboarding time by 80%
AI-driven metadata, lineage, and cost observability built in
Gen AI-powered automation in end to end Data Life cycle
Future-proof and industry-tested foundational Architecture
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