In the era of Big Data, data is the new gold, but its value is often buried under slow, error-prone, and chaotic workflows. Data science teams struggle with “data and analytics errors,” spending 75% of their time on data wrangling rather than insight generation. This complexity is the core problem DataOps seeks to solve.
DataOps (Data Operations) is the application of Agile development, DevOps, and lean manufacturing principles to the entire data analytics lifecycle. It’s the critical practice that enables organizations to deliver new insights with increasing velocity and extremely high data quality.
If you’re a data professional, engineer, or scientist looking to dramatically improve speed, reliability, and collaboration in your data pipelines, the DataOps Certified Professional training from DevOpsSchool is your essential next step. This detailed post reviews how this specialized course empowers you to transition from reactive data management to proactive, automated data delivery.
The DataOps Imperative: Why Automation is Critical for Data
The journey of data—from source ingestion to final model deployment or reporting—is notoriously complex, involving multiple teams (data scientists, engineers, analysts) and diverse technologies (ETL, databases, cloud platforms). Without DataOps, this pipeline is a source of process bottlenecks, technical debt, and poor quality that derails business intelligence.
The DataOps Certified Professional course provides the framework to implement the necessary technical practices, workflows, and cultural norms that lead to:
- Rapid Innovation: Quickly experiment and deliver new data insights to stakeholders.
- High Data Quality: Utilize statistical process control and rigorous testing to achieve low error rates.
- Seamless Collaboration: Break down silos between data producers and consumers using automation and shared tooling.
Target Audience and Career Impact
This certification is purpose-built for professionals who need to bring rigor, repeatability, and speed to their data initiatives:
- Data Engineers and Data Scientists
- Data Analysts and BI Professionals
- DevOps/SRE Engineers transitioning to data infrastructure.
- Architects designing modern data platforms.
The certification validates your ability to create a predictable delivery and change management process for data, data models, and related artifacts.
Deep Dive into the DevOpsSchool DataOps Curriculum
DevOpsSchool’s training program is meticulously structured over 60 hours (Approx) of instruction, available across multiple formats—from self-paced video to intensive Live & Interactive Online Batches and one-to-one coaching. The comprehensive agenda ensures you master not just the concepts, but the tools required for real-world application.
The Core Modules: From Concept to CI/CD
The training agenda is holistic, covering the philosophical foundations of DataOps and the practical, technical tools required for implementation:
| Module Category | Core Focus Areas Covered | Key Tools & Technologies Introduced |
| DataOps Concept and Foundation | Definition, history, evolution, key principles (agility, collaboration, feedback loops), comparison with DevOps and Agile, DataOps roles. | Data integration (ETL/ELT), Data virtualization, Data quality tools. |
| Automation and Orchestration | Continuous Integration/Continuous Deployment (CI/CD) in data environments, Infrastructure as Code (IaC), Configuration Management. | Airflow, Kubernetes, Jenkins/Git (implied in CI/CD). |
| Data Platform Essentials | Core platforms needed to run data pipelines: Operating Systems, Cloud, Containers. | CentOS/Ubuntu & VirtualBox/Vagrant, AWS (EC2, S3, RDS, VPC), Docker. |
| Planning & Governance | Collaborative workflow management, project planning, Data Quality and Testing, Security, and Compliance. | Jira & Confluence, MySQL/Database concepts. |
| Observability and Future | Monitoring, metrics, security, compliance, data governance, and future trends (ML, Data Streaming). | Concepts of Monitoring, Metrics, Alerts, and Dashboards. |
This blend of foundational DataOps concepts with core DevOps tooling (Docker, Kubernetes, IaC) ensures graduates are equipped with a unique, high-value skill set prized by top technology companies.
Training Format and Value Comparison
DevOpsSchool offers flexible enrollment options to suit different learning styles and budgets:
| Duration | Mode | Price (Approx) | Key Benefit |
| 60 Hrs | Self-learning using Video | 14,999/- | Cost-effective and flexible, ideal for highly disciplined learners. |
| 60 Hrs | Live & Interactive in Online Batch | 49,999/- | Best Value: Real-time engagement, collaborative learning, and immediate query resolution. |
| 60 Hrs | One to One Live & Interactive | 99,999/- | Highly personalized, focused learning experience tailored to individual needs. |
The DevOpsSchool Advantage: Mentorship by Rajesh Kumar
In a field as specialized as DataOps, learning from a recognized industry leader is the difference between simple certification and true mastery. The DataOps Certified Professional program is championed by Rajesh Kumar, a globally recognized trainer and architect.
Rajesh Kumar brings over 20 years of expertise to the curriculum, covering a spectrum of advanced disciplines: DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, and Cloud.
His mentorship ensures that the 60 hours of training are grounded in real-world industry scenarios and the most current best practices. His authority guarantees that the certification transcends mere theory, focusing instead on the strategic implementation of DataOps principles to solve critical business problems.
“DataOps is the next evolution of agility. It brings rigor, automation, and lean principles directly to the data pipeline, ensuring the insights delivered are both fast and reliable.” — Rajesh Kumar
Learn more about the expert guiding your training by visiting his professional profile: Rajesh Kumar Profile.
Unmatched Support: The Lifetime Commitment
DevOpsSchool reinforces its status as a leading platform by offering extensive post-training support, a key differentiator from standard course providers:
- Lifetime Technical Support: Continuous assistance for practical, real-world issues encountered while applying your DataOps Certified Professional skills.
- Lifetime LMS Access: Unlimited access to all video recordings, slides, notes, and curriculum updates, ensuring your knowledge stays current with rapid industry changes.
- Real-time Scenario-Based Projects: Participants work on a real-time project to implement all their learnings, gaining the practical, industry-ready experience essential for the job market.
This unwavering commitment to alumni success is what makes DevOpsSchool a trusted choice for thousands of certified learners globally. You can explore their full range of offerings on the .
Secure Your Role at the Forefront of Data
The future of business is governed by the quality and speed of its data pipelines. Professionals who can bridge the gap between development, operations, and data science are in high demand.
The DataOps Certified Professional certification is your credential for entering this high-growth field, equipping you with the expertise to deliver predictable, high-quality data products. Don’t be interrupted by data errors or slow workflows—master the automation and collaboration principles that define modern data excellence.
Take control of your data career now. Enroll in the DataOps Certified Professional course: DataOps Certified Professional Training
Contact DevOpsSchool
Ready to enroll, or have questions about the curriculum or group training options? Contact the DevOpsSchool team today.
| Contact Method | Details |
| contact@DevOpsSchool.com | |
| Phone & WhatsApp (India) | +91 7004215841 |
| Phone & WhatsApp (USA) | +1 (469) 756-6329 |
| Homepage | DevOpsSchool |