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DataOps with Dataiku

Automate data pipelines for clean, reliable, and timely data across the enterprise.

 

Self-Contained, Deployable Projects

Dataiku projects are the central place for all work and collaboration, and where teams create and maintain related data products. Each Dataiku project has a visual flow that represents the pipeline of data transformations and movement from start to finish.

A timeline of recent activity, automatic flow documentation, and project bundles make it easy to track changes and manage data pipeline versions in production.

 

Batch or Real-Time Deployments

Project bundles snapshot the data, logic, and dependencies needed to recreate and execute pipelines in QA or production environments. Run scheduled jobs, or expose elements as REST APIs to support real time applications.

Dataiku’s central deployer provides oversight over both types of deployments, and event logs and dashboards allow data operators to continuously monitor systems and detect issues.

 

Data Quality Metrics and Checks

Metrics in Dataiku automatically assess data or model elements for changes in quality or validity, and checks ensure that scheduled flows run within expected timeframes and that metrics deliver the expected results.

Configurable alerts and warnings give teams the control they need to safely manage production pipelines, without the tedium of constant manual monitoring.

 

Automation Scenarios and Triggers

With scenarios, Dataiku’s built-in scheduler, teams automate repetitive sequential tasks like loading and processing data, running batch scoring jobs, retraining models, updating documentation, and much more.

Operators may use the visual interface or execute scenarios programmatically using APIs, flexibly configuring partial or full pipeline execution based on time and condition-dependent triggers.

 

Smart Flow Operations

Interrupted connections, broken dependencies, out-of-sync schemas — avoid these common pitfalls with Dataiku’s features for data operations and orchestration.

Flow-aware tooling helps operators manage pipeline dependencies, check for schema consistency, and intelligently rebuild datasets and sub-flows to reflect recent updates.

Learn More About Flow Views & Actions
 

APIs and Git Integration

Dataiku includes robust APIs so you can programmatically interact with and operate data projects from external systems and IDEs.

Git integration delivers project version control and traceability and enables teams to easily incorporate external libraries, notebooks, and repositories for both code development and CI/CD purposes.

Go Further

See Data Ops in Action

Learn more about IT observability and monitoring with Dataiku in this webinar.

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Discover How Dataiku Enables Data Architects

From AI orchestration to smooth operationalization, explore how Dataiku helps data architects.

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CI/CD In Dataiku

Apply continuous integration and continuous deployment principles to data science and ML projects.

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Get a Demo

Watch our end-to-end demo to discover the platform.

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