DataOps Certified Professional training gives data teams the tools and methods to make analytics faster and data quality better. This certification takes DevOps ideas and uses them for data work, helping companies get insights quicker and more dependably.
What is DataOps?
DataOps mixes technical steps, workflows, and team ways to handle data in a smarter way. It puts focus on automation, working together between data handlers and users, and fast updates to data setups. Picture it as DevOps but for data—it cuts the wait from raw data to helpful reports while lowering mistakes.
Different from old data ways, DataOps uses quick methods and lean thoughts for making things. Data experts often spend 75% of their time fixing data by hand, but DataOps changes that with auto work and checks. Main aims cover steady data giving, better rules, and more data worth through info tags.
Why Pick a DataOps Certified Professional?
This certification lifts data line speed by up to 10 times, helping teams work smoother. It breaks apart groups, cuts wrong steps, and meets rule needs with safe data paths. Trained people manage live lines, quality looks, and growth—skills needed a lot as data piles get bigger.
Good points come in quick choices and less spending. Firms get faster views from mixed data spots, changing data to work wins. For data builders and lookers, it means better work and more pay.
Course Overview and Structure
The DataOps Certified Professional setup lasts about 60 hours over self-paced videos, live online groups, or one-on-one talks. It goes over DataOps starts, tools like Apache NiFi and Kafka, line building, and true projects in Java, Python, or .NET with small services.
Team choices take 2-3 days. Hands-on spots use Ubuntu, Vagrant, and cloud setups—no home trouble. Look for shows, workouts, and checks for real know-how.
Main Topics:
- DataOps rules and past (Deming’s touch)
- Line auto with NiFi, StreamSets, Talend
- Checks, quality, and rules
- True-world projects from build to live
Key Tools Covered
Class goes deep into top data tools for taking in, working, and live flow. Apache NiFi does data moves by sight. StreamSets handles change and forms. Confluent Kafka Connect joins spots. Talend makes ETL jobs. Apache Camel sends data. Striim flows in real time. Apache Beam works on a big scale.
Tool Highlights:
- Ingestion: NiFi (pull from APIs), Kafka Connect (topics)
- ETL/Processing: Talend (drag-and-drop), Beam (unified batches)
- Streaming: StreamSets (drift handling), Striim (real-time)
- Practice on AWS free tier or VMs
These ready you for new data stacks.
Training Format and Materials
Pick self-learn videos (60 hrs), live talk groups, or team room/online. All give endless LMS use, notes, slides, saves, step-by-step guides, and 50+ job talk kits. True projects show build/test/live spots.
Points beat the rest: teacher checks, endless help, and top 25 tools aim. Skip a class? Watch saves or join the next group. Use GoToMeeting for far talks.
| 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 builders, experts, lookers, DevOps workers for data, and IT heads fit best. No hard needs first, but easy data knowledge helps. Good if you face slow lines, wrong steps, or rules.
| 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 changes DevOps for data aim—soft speed vs. data steady.
| Aspect | DataOps | DevOps |
|---|---|---|
| Focus | Data pipelines, quality | Code deployment |
| Teams | Data + business | DevOps |
| Tools | NiFi, Kafka | Jenkins, Docker |
| Goals | Insights speed | App releases |
DataOps does forms and change for DevOps apps.
Spotlight on DevOpsSchool
DevOpsSchool heads hands-on classes for DevOps, DataOps, SRE, CloudOps, Kubernetes, AIOps, and MLOps. Gives 50+ certs with AWS spots, endless use, and job aid. Good marks from 10,000+ learners.
- True projects, job prep (50 kits)
- Easy ways, world certs
- Tools: NiFi to Kubernetes
- 4.9/5: “Hands-on changed my career.”
Mentorship by Rajesh Kumar
Led by Rajesh Kumar, with 20+ years in DevOps, DataOps, and SRE at ServiceNow and IBM. Taught 10,000+ at Nokia and Cognizant; YouTube 500K+ views, books/blogs. Makes lines automatically easy.
DataOps Certified Professional Details
Join DataOps Certified Professional for line know-how. Goes 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 makes skills for quick, steady data work in the big-look world. From auto to rules, it readies for needed roles. Spots like DevOpsSchool make class real and job-lift.
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