What is Tool-Agnostic DataOps?

Your teams already have the tools they need. With the DataKitchen DataOps Platform, virtually any analytic tool – from data access to value delivery – can be leveraged for successful DataOps. The Platform supports a vast array of native tooling integrations and flexible methods for integrating new tools as they come available.

What is DataOps Meta-Orchestration?

Data organizations may be hierarchical and siloed, but analytics production cuts across teams, locations, and environments. The DataKitchen Platform meta-orchestrates all the steps in your production and development pipelines (and even pipelines of pipelines), providing a coherent framework for inter-team collaboration that transcends heterogeneous toolchains and distributed data centers.

What is DataOps Environment Creation and Management?

With the DataKitchen Platform, create Kitchen workspaces in minutes – not weeks or months – to provide developers with a controlled and secure space to work. Kitchens contain pre-configured tools, datasets, hardware, and tests – everything users need to create and innovate. When new analytics are ready, Kitchens streamline an individual’s work into a team’s work and eventually into production by seamlessly merging to aligned environments.

What is DataOps Continuous Deployment?

Analytics can’t be agile with manual, error-prone, and time-consuming release processes. The DataKitchen Platform automates the end-to-end deployment process allowing analytics teams to test and release new analytics on-demand. Kitchens align and integrate toolchain environments so continuous deployment orchestrations can easily migrate analytics to production.

How to perform Automated Testing and Monitoring for DataOps?

Automated testing and monitoring is foundational to DataOps. The Platform enables you to dramatically improve data quality by catching costly and embarrassing data errors early. Embed automated tests at every step in your production and development pipelines. Use failures as an opportunity to add more tests and increase the reliability of your pipelines over time. Preset alerts to increase agility and reduce data downtime.

How Collaboration and Sharing works with DataOps?

DataOps is a team effort, and the DataKitchen Platform fosters collaboration by providing a common place to work and a single view of the end-to-end analytic process. Team members innovate and experiment in separate but aligned Kitchens, then integrate the collective work with confidence. Teams can easily save and share commonly used parts of pipelines as Ingredients – a significant productivity multiplier.

What is DataOps Process Analytics?

You can’t improve what you don’t measure. The DataKitchen Platform provides unprecedented visibility into the state of your data operations. Process metrics show how your teams are increasing collaboration, improving productivity, expanding test coverage, reducing errors, speeding deployment cycle times, and consistently meeting deadlines.

How to develop Modern, Secure, Scaleable Architecture for DataOps?

The DataKitchen Platform provides scalable and efficient end-to-end DataOps that adapts to your organization’s needs whether its on-prem, cloud, or hybrid infrastructure.

DataKitchen DataOps Observability Product

Open Source Data Observability:

DataOps Observability

When you need rapid and trusted customer insight, you first need to reduce your team’s hassles and embarrassment by finding errors and bottlenecks in a ‘Mission Control Center’ for all your organization’s data journeys.

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Data Journeys

Data Journeys Span Your Data Estate

Production Status

Quickly Track The Status of Yor Production Work

See All Events At A Glance

Gather Logs, Metrics, Schedules, Status and Test Events In One Place

Create Rule Based Alerts

Deliver specific, timely, personalized exception alerts to email, Slack, Teams, Jira and other tools.

DataOps Observability monitors every data journey from data source to customer value, from any team development environment into production, across every tool, team, environment, and customer so that problems are detected, localized, and understood immediately.