Got an army of consultants trying to manage data over silos and messy dependencies?
Continuous delivery with trunk based approach brings early detection. No complex merge problems late in the process. Generation of SQL and data load workflows based on metadata. Templates and configurability to accelerate project specific practices and reusability of work.
Seamless integration of data modeling and transformation simplifies development. Out-of-the-box CI/CD pipeline for cloud data warehouse enables true agile development. Adaptable and optimizable business real-time workflows, ensure that businesses have up-to-date data for operative decision making.
Modular data product framework makes the data platform more manageable and reusable. Unique entity-driven approach Modular data quality tests as part of data load workflows.
Insights and statistics about data platform, data products, and data team productivity. Data lineage enables impact analysis for changes and audit trail of data transformations. Continuous insights about data quality and workflows.
Metadata-driven low code secures that the data product and domain knowledge stays, no matter if people change. Multi-cloud: when there is a need for changing cloud vendor or database platform, we can ensure the continuity.
Business data stays in your cloud: No need to process data in a separate SaaS service other than in your cloud data warehouse. Private connectivity support via VPN, and hybrid cloud & on-premise deployment support
We can't speak for our customers, but we can tell you our customer satisfaction rating exceeds 97%. Hear it from them:
Transition to Agile Data Engine with Gen AI for enhanced DataOps efficiency and scalability. Learn how generative AI simplifies the migration process seamlessly.
See why Agile Data Engine uses trunk-based dev to improve data platform development with effective CI, fast version control, and better team collaboration.
Trunk-Based vs GitFlow for data projects: it impacts collaboration, integration, and workflow efficiency. Learn which works better for data warehouse dev..
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