Upgrade & Secure Your Future with DevOps, SRE, DevSecOps, MLOps!
We spend hours scrolling social media and waste money on things we forget, but won’t spend 30 minutes a day earning certifications that can change our lives.
Master in DevOps, SRE, DevSecOps & MLOps by DevOps School!
Learn from Guru Rajesh Kumar and double your salary in just one year.
DataOps Certified Professional training equips data teams with tools and practices to speed up analytics and improve data quality. This certification applies DevOps ideas to data workflows, helping organizations deliver insights faster and more reliably.
What is DataOps?
DataOps brings together technical practices, workflows, and team habits to manage data better. It focuses on automation, collaboration between data managers and users, and quick changes to data models. Think of it as DevOps for data—shortening the time from raw data to useful reports while cutting errors.
Unlike traditional data handling, DataOps uses agile methods and lean ideas from manufacturing. Data scientists often spend 75% of time cleaning data manually, but DataOps fixes that with automation and monitoring. Key goals include predictable data delivery, better governance, and higher data value through metadata.
Why Choose DataOps Certified Professional?
This certification boosts data pipeline speed by up to 10 times, making teams more efficient. It helps break silos, reduce errors, and meet compliance needs with secure data flows. Certified pros handle real-time pipelines, quality checks, and scaling—skills in high demand as data volumes grow.
Benefits show in faster decisions and lower costs. Companies see quicker insights from messy data sources, turning data into business wins. For data engineers and analysts, it means better jobs and higher pay.
Course Overview and Structure
The DataOps Certified Professional program runs about 60 hours across self-paced videos, live online batches, or one-to-one sessions. It covers DataOps origins, tools like Apache NiFi and Kafka, pipeline building, and real projects in Java, Python, or .NET with microservices.
Corporate options take 2-3 days. Hands-on labs use Ubuntu, Vagrant, and cloud setups—no local hassle. Expect demos, exercises, and assessments for practical skills.
Main Topics:
- DataOps principles and history (Deming’s influence)
- Pipeline automation with NiFi, StreamSets, Talend
- Monitoring, quality, and governance
- Real-world projects from dev to production
Key Tools Covered
Training dives into top data tools for ingestion, processing, and streaming. Apache NiFi handles data flows visually. StreamSets manages drift and schemas. Confluent Kafka Connect links sources. Talend builds ETL jobs. Apache Camel routes data. Striim streams real-time. Apache Beam processes at scale.
Tool Highlights:
- Ingestion: NiFi (pull from APIs), Kafka Connect (topics)
- ETL/Processing: Talend (drag-drop), Beam (unified batches)
- Streaming: StreamSets (drift handling), Striim (real-time)
- Practice on AWS free tier or VMs
These prepare you for modern data stacks.
Training Format and Materials
Choose self-learning videos (60 hrs), live interactive batches, or corporate classroom/online. All include lifetime LMS access, notes, slides, recordings, step-by-step tutorials, and 50+ interview kits. Real projects simulate dev/test/prod environments.
Features beat others: faculty checks, lifetime support, top 25 tools focus. Miss a class? Catch replays or join another batch. Use GoToMeeting for virtual sessions.
| Format | Duration | Best For |
|---|---|---|
| Self-Paced Videos | 60 hrs | Flexible learners |
| Live Online Batch | 60 hrs | Group interaction |
| One-to-One | 60 hrs | Personalized help |
| Corporate | 2-3 Days | Teams |
Who Should Enroll?
Data engineers, scientists, analysts, DevOps pros moving to data, and IT managers fit best. No strict prereqs, but basic data knowledge helps. Ideal if you deal with slow pipelines, errors, or compliance.
| Role | Why It Fits |
|---|---|
| Data Engineers | Build automated pipelines |
| Data Scientists | Less manual cleaning |
| Analysts | Faster insights |
| DevOps Engineers | Data workflow extension |
DataOps vs DevOps
DataOps adapts DevOps for data focus—software speed vs data reliability.
| Aspect | DataOps | DevOps |
|---|---|---|
| Focus | Data pipelines, quality | Code deployment |
| Teams | Data + business | Dev + ops |
| Tools | NiFi, Kafka | Jenkins, Docker |
| Goals | Insights speed | App releases |
DataOps handles schemas, drift; DevOps apps.
Spotlight on DevOpsSchool
DevOpsSchool leads in hands-on training for DevOps, DataOps, SRE, CloudOps, Kubernetes, AIOps, MLOps. Offers 50+ certs with AWS labs, lifetime access, job help. High ratings from 10,000+ learners.
- Real projects, interview prep (50 kits)
- Flexible formats, global certs
- Tools: NiFi to Kubernetes
- 4.9/5: “Hands-on changed my career”
Mentorship by Rajesh Kumar
Guided by Rajesh Kumar, 20+ years in DevOps, DataOps, SRE at ServiceNow, IBM. Trained 10,000+ at Nokia, Cognizant; YouTube 500K+ views, books/blogs. Simplifies pipelines, automation.
DataOps Certified Professional Details
Enroll in DataOps Certified Professional for pipeline mastery. Covers NiFi, Kafka, projects. Keywords: data pipelines, ETL automation, data quality, real-time streaming, data governance, Apache NiFi, StreamSets, Kafka Connect, Talend, Apache Beam.
Conclusion and Overview
DataOps Certified Professional builds skills for fast, reliable data ops in growing analytics world. From automation to governance, it prepares for high-demand roles. Platforms like DevOpsSchool make learning practical and career-boosting.
Ready to start? Contact DevOpsSchool:
- Email: contact@DevOpsSchool.com
- Phone & WhatsApp (India): +91 7004 215 841
- Phone & WhatsApp (USA): +1 (469) 756-6329
- Website: DevOpsSchool