DataOps Training Course & Official Master Certification Program

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DataOps is an automation approach from agile methodology. Its practices, processes, and technologies combine an integrated and process-generated perspective on data with software engineering to improve quality, speed, and collaboration and promote a trend of continuous improvement in the section of data analytics. The DataOps program began with a set of best lining practices, it has now ripped to become a new and independent reach to data analytics. It can be applied to the entire data lifecycle from data preparation to reporting and recognizes the interlinked property of the data analytics team and information technology operations.

This DataOps certification course, designed in collaboration with DevOpsSchool under the “Data operational values” program and is the mere certification course in the world that provides one month of internship with Real scenario-based data analytics Projects in one of the software industries and experiences true implementations of DevOps practices. This program also would help you with DataOps interview sessions and assessment preparations.

Key highlights:

  • 30 DevOps Tools Included
  • 20 live & interactive sessions
  • Certified by devopsschool
  • Lifetime access with video library
  • Real time projects
  • Interview & assessment support
  • 60 Hrs. projects & exercises
  • Designed for working professional & fresher’s
  • 250 hrs. self-paced  videos

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Referral URL-

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Upcoming Batches:

     1st month of every week


  • Application developers
  • Integration specialists
  • Solution architect
  • Master in engineer
  • Software prodigy
  • Security analyst
  • IT experts and professionals
  • Software performer
  • Fresher’s looking to become a DataOps certified engineer
  • Aspirants looking to work as a DataOps professional can apply for this course.

Skills covered

  • Be Able To Simplify The Complex
  • Meshing Data Without Primary Keys
  • Learn How To Prioritize Projects
  • Be Able To Develop Robust And Optimal Systems

Tools covered

  • K2 view data fabric
  • High Byte intelligence hub
  • Tengu
  • SuperbAI
  • Unravel
  • Delphix
  • Zaloni Arena
  • Stream sets
  • Brevo
  • Apache Airflow
  • Lentiq
  • Naveego
  • Composabale data ops platform
  • Piperr
  • Data buck
  • Right data
  • Badook
  • Data kitchen

Curriculum & course details

  • Iterate DataOps – Know your data
  • Iterate DataOps – Trust your data
  • Iterate DataOps – Use your data
  • Improve DataOps
  • The Problem with Datascience
  • Agile Collaboration for DataOps
  • DevOps for DataOps
  • Establish DataOps – Prepare for operation
  • Establish DataOps – Optimize for operation


Certifications always play a prominent role in any profession. You may find some Dataops professional, who will tell you that certifications do not hold much value; this certification demonstrates an individual’s ability to generate complex searches, reports, and dashboards with Dataops core software to get the most out of their data.

A Dataops Certified User can search, use fields, use look-ups, and create basic statistical reports and dashboards in the Dataops Enterprise or Dataops Cloud Platforms. This certification demonstrates an individual’s ability to navigate and use the Dataops Software.


What do aspirants think about our certification?

With over 100 countries aspirants, DevOpsSchool certification can be an accredited to every individual and any organization who is looking to adopt and implement software delivery best practices. Here I have consolidated a few recent observations made by our certified aspirants regarding their results with Devopsschool.

Referral links of nine videos

Projects and internship

To put your information on into action, you will be required to work on a real using data scenario company-based projects that discuss significant real-time data use cases. This project will be completely in-line with the project modules mentioned in the curriculum and help you to understand real-work environment.


  • What problem does DataOps solve?
  • What are DataOps principles?
  • Who invented DataOps?
  • What are the three pipelines of DataOps?
  • What are the two main roles of tests in DataOps?
  • What is DataOps architecture?
  • What is the difference between DevOps and DataOps?
  • What are some important considerations for implementing DataOps?
  • How do you implement DataOps?
  • What is DataOps engineer?
  • Which of the following roles are active team members of any DataOps team?
  • How can I get into DataOps?
  • What does DataOps do?
  • What is the difference between DevOps and DataOps?
  • What is DataOps framework?
  • What are the benefits of DataOps?
  • Who invented DataOps?
  • Who are the main stakeholders for DataOps?