dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow.
Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.
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DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors.
Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support.
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erwin Data Marketplace
erwin Data Marketplace, included with erwin Data Intelligence by Quest, provides a centralized, consumer-like platform for all data users, regardless of technical expertise, to discover, select, and access governed, high-value data products, datasets, and AI models. This self-service approach accelerates data discovery, enhances data literacy, ensures governance, and maximizes the business impact of data. Key features include dynamic filtering, automated data value scoring, social ratings and reviews, and access to related data intelligence such as mind maps and data lineage. Users can compare multiple assets side-by-side to determine the best fit for their needs. Data stewards and owners benefit from curation and governance capabilities, including defining data products, managing associations, classifying data, assigning searchable tags, and overseeing governance roles. Built-in workflows facilitate data access requests, approvals, and documentation, ensuring compliance.
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