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( 10 Students )
( 10 Students )
DataOps Simplified
Learn how to streamline your data workflows, automate pipelines, and improve collaboration across the data lifecycle with DataOps principles and tools
Course Duration: 10 Hours
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DataOps Simplified – Online Course
DataOps Simplified is a comprehensive, self-paced online course designed to demystify DataOps and make it approachable for data professionals, analysts, engineers, and IT managers. This course serves as your definitive guide to understanding, implementing, and optimizing DataOps practices to create high-quality, efficient, and agile data pipelines in modern data environments.
About the Course
Course Introduction
As businesses increasingly rely on data-driven decision-making, the demand for streamlined, automated, and collaborative data management processes has surged. DataOps, short for Data Operations, addresses this need by bringing DevOps-style agility to the world of data engineering and analytics.
As businesses increasingly rely on data-driven decision-making, the demand for streamlined, automated, and collaborative data management processes has surged. DataOps, short for Data Operations, addresses this need by bringing DevOps-style agility to the world of data engineering and analytics.
What is DataOps Simplified?
"DataOps Simplified" offers a step-by-step introduction to the DataOps methodology—an integrated approach to managing the data lifecycle, from ingestion and transformation to analytics and governance. This course explores foundational concepts such as pipeline automation, continuous integration and delivery (CI/CD) for data, environment management, quality control, testing, monitoring, and cross-functional collaboration.
"DataOps Simplified" offers a step-by-step introduction to the DataOps methodology—an integrated approach to managing the data lifecycle, from ingestion and transformation to analytics and governance. This course explores foundational concepts such as pipeline automation, continuous integration and delivery (CI/CD) for data, environment management, quality control, testing, monitoring, and cross-functional collaboration.
You’ll not only gain theoretical insights but also hands-on experience with modern tools such as Apache Airflow, dbt, Great Expectations, Jenkins, Git, and Kubernetes—all tailored for DataOps implementation.
How to Use This Course
This course is structured for learners at all levels. Whether you're a beginner with basic data knowledge or a professional looking to implement agile data pipelines, the course is designed to guide you through the principles and tools needed for a successful DataOps journey. To maximize learning:
This course is structured for learners at all levels. Whether you're a beginner with basic data knowledge or a professional looking to implement agile data pipelines, the course is designed to guide you through the principles and tools needed for a successful DataOps journey. To maximize learning:
- Start from the basics and build your way up to complex DataOps orchestration.
- Practice using real datasets and open-source tools to simulate real-world scenarios.
- Implement mini-projects after each module to reinforce learning and build a DataOps portfolio.
- Use documentation and tool guides introduced throughout the course to develop self-sufficiency.
- Engage with exercises, quizzes, and code labs embedded in each section.
By the end of this course, you'll understand how to bridge the gap between data engineering and data consumption while promoting automation, collaboration, and data reliability.
Course/Topic 1 - Coming Soon
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The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.
Course Objectives Back to Top
By the end of this course, you will be able to:
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Explain the principles and lifecycle of DataOps.
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Set up automated and version-controlled data pipelines using CI/CD.
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Implement data quality testing and monitoring practices.
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Use tools like Apache Airflow, dbt, and Great Expectations effectively.
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Design modular, reusable, and observable data workflows.
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Apply agile practices to data engineering and analytics workflows.
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Integrate GitOps and DevOps with data pipeline development.
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Enable cross-functional collaboration between data engineers, analysts, and business users.
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Automate end-to-end deployment of analytics infrastructure.
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Create a resilient and scalable DataOps architecture using cloud-native tools.
Course Syllabus Back to Top
Course Syllabus
Module 1: Introduction to DataOps
- What is DataOps?
- History and evolution of DataOps
- Comparing DataOps, DevOps, MLOps
Module 2: DataOps Principles & Lifecycle
- Core principles of DataOps
- DataOps vs traditional data pipelines
- Stages of the DataOps lifecycle
Module 3: Source Control & CI/CD for Data
- Git and GitOps basics
- Version control for SQL, models, and data pipelines
- CI/CD pipelines with Jenkins and GitHub Actions
Module 4: Orchestrating Workflows with Apache Airflow
- DAGs and task dependencies
- Scheduling and retries
- Best practices for Airflow DAG design
Module 5: Data Transformation using dbt
- Writing modular SQL transformations
- Testing and documentation in dbt
- dbt Cloud vs dbt Core
Module 6: Data Quality & Testing
- Importance of data validation
- Great Expectations: setup and configuration
- Defining and automating tests
Module 7: Monitoring and Observability
- Key metrics for data pipeline monitoring
- Alerting and logging practices
- Using tools like Prometheus and Grafana
Module 8: Containerization and Deployment
- Docker basics for data pipelines
- Kubernetes for orchestration
- Deploying Airflow and dbt on Kubernetes
Module 9: DataOps in the Cloud
- Using AWS/GCP/Azure for DataOps pipelines
- Serverless and cloud-native services
- Cost optimization and scaling
Module 10: Agile Collaboration in Data Teams
- Feedback loops and sprint cycles
- Role of Product Owners, Analysts, and Engineers
- Creating shared documentation and dashboards
Modules 11–15: Hands-on Projects
- Sales Analytics Pipeline with dbt + Airflow
- Real-time Stock Data Pipeline with Kafka + Airflow
- Marketing Funnel with dbt + Great Expectations
- CI/CD for Data Pipelines with Jenkins
- End-to-End DataOps System on Kubernetes
Module 16: DataOps Interview Questions & Answers
Certification Back to Top
Upon successful completion of the DataOps Simplified course, learners will receive an industry-recognized Certificate of Completion from Uplatz. This certificate validates your proficiency in implementing modern DataOps practices and working with tools such as Apache Airflow, dbt, Great Expectations, and Jenkins. Whether you're applying for a Data Engineer, DevOps Engineer, or DataOps Specialist role, this certification helps demonstrate your practical, tool-based expertise alongside your understanding of agile principles and pipeline management. It acts as proof of both your theoretical knowledge and your applied skills, offering a competitive edge in job interviews and consulting roles.
Career & Jobs Back to Top
DataOps is one of the most in-demand skill sets in the data and analytics job market today. As organizations increasingly look to automate, scale, and improve the reliability of their data infrastructure, professionals skilled in DataOps enjoy lucrative career prospects.
By completing this course, you’ll be prepared for roles such as:
- DataOps Engineer
- Data Engineer
- Analytics Engineer
- DevOps Engineer (Data Focus)
- Cloud Data Platform Engineer
- Data Quality Analyst
Job opportunities exist across industries such as finance, e-commerce, healthcare, telecom, and logistics. You can work in startups that need rapid pipeline development, large enterprises with complex data environments, or consulting firms offering data solutions. Freelance and remote opportunities are also abundant for DataOps professionals. With expertise in DataOps, you can accelerate your career growth and become a key player in delivering data-driven innovation.
Interview Questions Back to Top
1. What is DataOps and how does it benefit organizations?
DataOps is an agile, process-oriented methodology for developing and delivering data pipelines. It enhances collaboration, automation, and reliability, reducing the time to insight and improving data quality.
DataOps is an agile, process-oriented methodology for developing and delivering data pipelines. It enhances collaboration, automation, and reliability, reducing the time to insight and improving data quality.
2. How is DataOps different from DevOps?
While DevOps focuses on software delivery, DataOps applies similar principles to the data lifecycle, emphasizing data validation, pipeline automation, and cross-functional collaboration.
While DevOps focuses on software delivery, DataOps applies similar principles to the data lifecycle, emphasizing data validation, pipeline automation, and cross-functional collaboration.
3. What tools are commonly used in DataOps?
Common tools include Apache Airflow for orchestration, dbt for transformation, Great Expectations for data testing, Jenkins for CI/CD, and Git for version control.
Common tools include Apache Airflow for orchestration, dbt for transformation, Great Expectations for data testing, Jenkins for CI/CD, and Git for version control.
4. How does CI/CD apply to data pipelines?
CI/CD enables automated testing, validation, and deployment of data workflows—ensuring faster, more reliable releases and reducing human errors.
CI/CD enables automated testing, validation, and deployment of data workflows—ensuring faster, more reliable releases and reducing human errors.
5. What is the role of Apache Airflow in DataOps?
Apache Airflow manages and schedules workflows as DAGs, enabling the orchestration of complex data pipelines with dependencies, retries, and alerts.
Apache Airflow manages and schedules workflows as DAGs, enabling the orchestration of complex data pipelines with dependencies, retries, and alerts.
6. What are the key components of a DataOps pipeline?
Components include data ingestion, transformation, testing, monitoring, deployment, and version control—all automated and managed collaboratively.
Components include data ingestion, transformation, testing, monitoring, deployment, and version control—all automated and managed collaboratively.
7. How does dbt help in DataOps practices?
dbt enables modular SQL transformation, testing, and documentation. It encourages version control and automated deployment of analytics code.
dbt enables modular SQL transformation, testing, and documentation. It encourages version control and automated deployment of analytics code.
8. Why is data testing important in DataOps?
Data testing ensures the accuracy, completeness, and consistency of data flowing through pipelines, preventing bad data from reaching analytics layers.
Data testing ensures the accuracy, completeness, and consistency of data flowing through pipelines, preventing bad data from reaching analytics layers.
9. How do you monitor a DataOps pipeline?
Using tools like Prometheus, Grafana, or Airflow logs, you monitor task status, data freshness, failures, and anomalies across the pipeline.
Using tools like Prometheus, Grafana, or Airflow logs, you monitor task status, data freshness, failures, and anomalies across the pipeline.
10. What challenges can arise in implementing DataOps?
Common challenges include tool integration, team silos, cultural resistance to change, lack of observability, and insufficient data quality practices.
Common challenges include tool integration, team silos, cultural resistance to change, lack of observability, and insufficient data quality practices.
Course Quiz Back to Top
FAQs
Back to Top
Q1. What are the payment options?
A1. We have multiple payment options:
1) Book your course on our webiste by clicking on Buy this course button on top right of this course page
2) Pay via Invoice using any credit or debit card
3) Pay to our UK or India bank account
4) If your HR or employer is making the payment, then we can send them an invoice to pay.
Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php
Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.
Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.
Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.
Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php
Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php
Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.
Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100
Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours.
Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual
Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience.
Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle
Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies.
Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done
Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more
Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done
Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.
Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly.
Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment.
Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year.
Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription
Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.
Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience.
Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!
Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field.
However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.
Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
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Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".
Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.