In today’s data-driven world, mastering the management and automation of data workflows is a key differentiator for IT and data professionals. Traditional data analytics and engineering face challenges like slow cycles, manual processes, and data inconsistencies, which can hinder business agility and decision-making. Enter DataOps—a transformative approach that integrates Agile, DevOps, and lean manufacturing principles to optimize data operations.
If you are aiming to accelerate your career in DataOps, become an industry expert, and gain practical skills with real-world tools, the DataOps Certified Professional (DOCP) program at DevOpsSchool is designed for you. Governed and mentored by Rajesh Kumar, a globally recognized DevOps authority with over 20 years of experience, this certification empowers professionals with the latest methodologies, automation skills, and governance best practices.
What Is DataOps and Why Is It Critical Today?
DataOps is an emerging discipline focused on improving the collaboration, integration, and automation of data flows between data engineers, scientists, analysts, and business stakeholders. It applies proven principles from manufacturing legend W. Edwards Deming, Agile development, and DevOps to the complex world of data analytics, helping teams:
- Reduce errors and manual interventions
- Accelerate data delivery cycles
- Improve data quality, governance, and compliance
- Build reproducible, automated data pipelines
- Enable data-driven business decision-making at speed
By adopting DataOps, organizations can unlock higher availability and reliability of their data assets, essential for AI, machine learning, and real-time analytics success.
About DevOpsSchool’s DataOps Certified Professional Program
The DataOps Certified Professional (DOCP) program by DevOpsSchool offers a comprehensive, hands-on curriculum tailored to:
- Automate data pipeline workflows
- Enhance collaboration across data and IT teams
- Implement data governance, quality validation, and monitoring
- Leverage modern cloud-native infrastructure and Infrastructure as Code (IaC)
- Use industry-leading open-source and commercial DataOps tools
The course blends theory with real-world labs and project work, ensuring participants gain practical expertise to design, build, and monitor resilient data pipelines that meet today’s enterprise demands.
Curriculum Highlights
The 60-hour program includes:
| Module | Focus Area |
|---|---|
| DataOps Foundations | History, principles, evolution, and Agile/DevOps synergies |
| Data Pipeline Automation | Building, orchestrating, and monitoring pipelines using tools like Apache NiFi, Kafka, Airflow, and Kubernetes |
| Data Quality & Governance | Metadata management, lineage tracking, compliance, and security best practices |
| Cloud & Infrastructure | AWS cloud services, Docker containers, Infrastructure as Code (Terraform), and Vagrant for environment provisioning |
| Real-time Data Systems | Stream processing with Apache Beam, data integration using Talend and StreamSets |
| Testing & Observability | Automated testing, metrics collection, and visualization using Grafana and Prometheus |
| Hands-on Projects | Realistic scenarios covering end-to-end DataOps implementations |
Flexible Training Delivery Options
DevOpsSchool understands diverse learner needs and offers flexible modes of delivery:
| Mode | Duration | Price (INR) | Benefits |
|---|---|---|---|
| Self-Paced Video Learning | ~60 hours | ₹14,999 | Learn at your own pace with lifetime access to videos and materials |
| Live Online Instructor-Led Training | ~60 hours | ₹49,999 | Interactive sessions with expert guidance and real-time Q&A |
| One-to-One Mentorship | ~60 hours | ₹99,999 | Personalized coaching and deep dive into individual project requirements |
| Corporate Training | 2–3 days | Custom pricing | Tailored on-site or virtual sessions for enterprise teams |
Who Should Enroll?
The DOCP certification is ideal for:
- Data Engineers and Analytics Professionals seeking automation and workflow orchestration skills
- DevOps and Cloud Engineers transitioning to DataOps roles
- Data Scientists aiming for reproducible, higher-quality analytics
- IT Managers and Architects responsible for data platform governance
- AI/ML Engineers who require robust, automated data pipelines
Why Choose DevOpsSchool for Your DataOps Journey?
- Authority and Expertise: Training by Rajesh Kumar (profile), an industry veteran with 20+ years guiding professionals globally.
- Comprehensive Curriculum: Covers a broad spectrum from foundational concepts to hands-on labs and real-time projects.
- Lifetime Access & Support: Access to course materials, recorded sessions, interview kits, and resume assistance after training.
- Global Recognition: Earn a certified credential recognized worldwide by top-tier companies.
- Cutting-edge Tools: Learn using real tools and environments such as Apache NiFi, Kafka, Kubernetes, Grafana, and more.
- Flexible Learning: Adapt training to your schedule with multiple learning formats including self-paced and live interactive options.
Key Benefits of DataOps Certification
- Accelerate your career with expertise in a fast-growing domain
- Gain practical knowledge for automating and scaling data workflows
- Master data governance and compliance for enterprise needs
- Leverage cloud-native technologies for robust and scalable solutions
- Join a global network of certified DataOps professionals
Enrollment & Contact Information
Ready to become a certified DataOps expert with one of the most respected programs available? Visit the official program page here:
👉 DataOps Certified Professional Program
For enrollment, queries, or corporate training, contact DevOpsSchool:
- Email: contact@DevOpsSchool.com
- Phone & WhatsApp (India): +91 7004215841
- Phone & WhatsApp (USA): +1 (469) 756-6329