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The DataKitchen DataOps Platform is a business software product that automates development and production workflows to provide seamless team collaboration, fast innovation, and error-free on-demand insights. Unlike other platforms, the tool-agnostic nature of this platform allows teams to work with any analytic tool they prefer for successful DataOps. One key feature of the platform is Meta-Orchestration which provides a coherent framework that transcends heterogeneous toolchains and distributed data centers thus fostering inter-team collaboration.

The Environment Creation and Management feature of the platform enables developers to create Kitchen workspaces in minutes containing pre-configured tools, datasets, hardware, and tests for easy innovation and creation while Continuous Deployment automates end-to-end deployment processes allowing analytics teams to release new analytics quickly. Additionally, Automated Testing and Monitoring features catch costly data errors early by enabling users to embed automated tests at every step in production or development pipelines. The Collaboration and Sharing feature fosters teamwork by providing a common workspace where collaborators can visualize the end-to-end analytic process. Finally, organizations looking for secure modern scalable architectures will appreciate how the platform adapts to their needs whether on-premise or hybrid infrastructure.

Production

Advanced

Heroku Platform

Tricentis qTest (formerly QASymphony) provides enterprise-level agile testing tools giving businesses visibility and control needed to ensure application quality in fast-paced development environments. Tricentis and QASymphony merged in summer 2018.

Tricentis qTest

DataKitchen DataOps Platform

Continuous Delivery

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.

Environment Creation & 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.

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.

Automated Testing & Monitoring
Automated testing and monitoring are 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.

Collaboration & Sharing
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.

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.

DataKitchen

Meet the Challenge of Exponential Growth with a DataOps Platform. The DataKitchen DataOps Platform is your command center for DataOps. The Platform automates the key functions of your development and production workflows. Download our overview to learn more.

What is a #DataOps Platform?

Chris Bergh, Head Chef & CEO of DataKitchen, speaks about the DataKitchen #DataOps Platform.

[Resources] 
To learn more about DataOps platforms, visit: https://dataops.datakitchen.io/pf-dk-dataops-platform?utm_source=social_organic&utm_medium=youtube&utm_campaign=dk_dataops_platform&utm_content=youtube_what_is_a_dataops_platform

[About the DataKitchen DataOps Platform]
The DataKitchen DataOps Platform is your command center for DataOps. The Platform automates the key functions of your development & production workflows, so cross-functional teams can seamlessly collaborate, quickly innovate, & instantly deliver the kind of error-free, on-demand insight that leads to one successful business decision after another.

[Transcript]
The biggest challenge in data analytics is that projects are failing. Gartner estimates that fifty to eighty percent of all data analytics projects fail despite having great new people like data scientists, great new tools, and databases.150 billion dollars is spent every year in tech. It fundamentally comes down to a people and process problem, and that's what DataOps tries to address. It focuses purely on helping people in their process with their tools with all their data be successful and deliver unparalleled insight to their customers. 

Your customer of data analytics lives in an Amazon world. They want insight, but they want a package of insight delivered tomorrow quickly. What makes that insight is a lot of people in many locations with a lot of data and a lot of tools. Whether they're called data science or data
engineering or data visualization, they're all part of that value chain to support that insight to deliver to customers, and the challenge is they may not work for the same boss.

The solution is DataOps. It's not just about, "Let's get everyone in a meeting and come by to collaborate." It's actually a technical platform to plug all those people in all those locations with all their data and all their tools to do the work.

The first key to DataOps is to think of it as a factory. You've got lots of people and lots of tools, and you want to build data analytic products with very low errors. So focusing on error rates is key.

The DataKitchen DataOps Platform allows you to orchestrate every tool in your production pipeline, all the way from data to the value your customer receives. You can automate tests at every step to virtually eliminate costly and embarrassing errors. 

The second is to think of your team as a software development team, all that great work they're doing, and whatever tool they're using - how fast can it get from their fingertips into your customers' hands.

The second pipeline of DataOps is called the development or innovation pipeline. In the DataKitchen DataOps Platform, you can quickly spin up work environments where your team can safely create features, test them, and deploy them into production with high confidence that they do not break anything. 

If you lead a data and analytic team, you need to show your value, so you need to measure the work that your team is doing, and that means focusing on a few key things: errors, deployment speed, and productivity. They all should go in a report that shows your value as a leader, and that's the kind of thing that DataOps is trying to help you do.

Using the DataKitchen DataOps Platform, you'll be able to reclaim control of your complex multi-tool data analytic pipelines and deliver value instantly without errors. You'll see an enormous increase in productivity and innovation. Your team will spend less time fixing errors and working on operational tasks and have more time to create new features. You'll improve cycle times from months or weeks to hours or minutes, reduce production errors to virtually zero, and have happier, more productive employees. 

Contact us to learn more about DataOps today.

DataKitchen DataOps Demo

Chris Bergh, founder and president of Data Kitchen, a DataOps vendor, explains what DataOps is all about via a demo of Data Kitchen's product.

DataKitchen #DataOps Platform Demonstration

Chris Berg, Head Chef & CEO of DataKitchen gives a demonstration of the DataKitchen's #DataOps Platform. He goes over the DataOps Platform's 'Kitchen' environments, 'Ingredient' re-usable components, 'Recipe' workflows, & 'Orders'.

The DataKitchen DataOps Platform is your command center for DataOps. The Platform automates the key functions of your data development & production workflows so cross-functional teams can seamlessly collaborate, quickly innovate, & instantly deliver the kind of error-free, on-demand insight that leads to one successful business decision after another.

[Resources]
+ https://www.dataopsmanifesto.org/
+ https://bit.ly/WhatIsDataOps
+ https://bit.ly/DataKitchenDataOpsPlatform
+ https://bit.ly/DKDataOpsPlatformDemo
+ https://bit.ly/RequestADKDemo

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What is DataKitchen DataOps Platform?