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ABOUT DATAOPS CERTIFICATION
The DataOps certification offered by Xopsscool.com is designed to equip professionals with the essential skills and knowledge to manage data pipelines and processes efficiently. This certification emphasizes the principles and practices of DataOps, focusing on automation, collaboration, and continuous integration of data systems. Participants will gain hands-on experience in implementing DataOps workflows, improving data quality, and ensuring faster, more reliable data delivery. Upon successful completion of the program, certified professionals will be well-prepared to drive innovation and enhance data operations in their organizations, making them a valuable asset to any data-driven team.
Why Choose Xopsscool for DataOps Certification?
At Xopsscool, we are committed to providing a high-quality DataOps certification program that meets the ever-evolving demands of the industry. Our program is designed to offer more than just a theoretical understanding of DataOps. We ensure that you gain hands-on experience with the tools and practices that are actively shaping the industry. With Xopsscool, you’ll learn how to design, automate, and optimize data pipelines in real-time, addressing the challenges of data flow management and scaling with confidence. Our expert trainers bring years of industry experience to the table, sharing invaluable insights and practical knowledge that goes beyond textbooks. The training is designed to be flexible and accessible, catering to a wide range of learners, from beginners to advanced professionals. Whether you are looking to sharpen your existing skills or build new ones, our DataOps Certification provides you with the expertise needed to thrive in this high-demand field. You’ll be trained in cutting-edge tools and best practices that directly translate to improved efficiency, automation, and collaboration in any data-driven organization.
DataOps Certification Benefits
Earning a DataOps Certification from Xopsscool opens doors to global career opportunities in one of the fastest-growing fields in tech. DataOps is rapidly becoming a vital skill for professionals in data science, data engineering, and IT operations. By mastering the principles and tools of DataOps, you demonstrate to employers that you have the expertise to lead data-driven initiatives, ensuring smooth data operations and faster, more reliable insights. Certification not only helps you stand out from the competition but also provides a measurable benchmark of your skills in a growing, high-demand field. DataOps combines the best of DevOps, Agile, and data engineering practices to automate workflows, streamline processes, and improve collaboration across teams. With our DataOps Certification, you will gain the skills to reduce bottlenecks in your data pipeline, automate repetitive tasks, and implement continuous integration and delivery (CI/CD) for data systems. As a certified DataOps professional, you’ll be able to lead teams in optimizing data workflows, driving operational efficiencies, and ensuring that data is delivered accurately and rapidly to fuel business intelligence.
DataOps Certification Curriculum
Our DataOps Certification is ideal for professionals who are looking to advance their careers in data engineering, data science, or IT operations. It is designed for:
- Data Engineers: Those who wish to improve the efficiency and scalability of data pipelines.
- Data Scientists: Professionals who want to streamline the data integration and delivery process.
- DevOps Engineers: Individuals seeking to integrate data management with development and operations practices.
- IT Professionals: Those looking to expand their knowledge of data systems and cloud-native technologies.
- Business Intelligence Analysts: Professionals who need to manage data pipelines for analytics and reporting.
How the DataOps Certification Program Works
Our certification program is designed to be flexible, allowing you to learn at your own pace while receiving hands-on experience with real-world tools and use cases. The program consists of:
- Interactive Online Modules: Learn key concepts through video lectures, reading materials, and quizzes.
- Live Workshops: Engage with expert trainers in live sessions where you can ask questions, solve problems, and deepen your understanding.
- Hands-on Labs: Work on practical exercises and case studies to apply your knowledge in real-world scenarios.
- Final Assessment: Complete a comprehensive exam and project to demonstrate your proficiency in DataOps principles and practices.
Instructor-led, Live & Interactive Sessions
DURATION |
MODE |
PRICE |
ENROLL NOW |
|---|---|---|---|
60 Hrs |
Self learning using Video |
9,999/- |
|
60 Hrs |
Live & Interactive in Online Batch |
24,999/- |
|
60 Hrs |
One to One Live & Interactive in Online |
59,999/- |
|
2 - 3 Days (Approx) |
Corporate (Online/Classroom) |
Contact US |
Calendar |
AGENDA OF THE DATAOPS CERTIFICATION
- What is DataOps?
- Understanding the evolution of DataOps from DevOps and Agile practices.
- Key differences between traditional data management and DataOps.
- Benefits of DataOps in modern data-driven organizations.
- Overview of the DataOps lifecycle: Data preparation, automation, deployment, and monitoring.
- Key components of DataOps: Continuous integration, continuous delivery, collaboration, and data governance.
- How DataOps improves data pipeline efficiency and accelerates delivery cycles.
- Overview of data pipelines: Data ingestion, transformation, storage, and retrieval.
- Best practices for building scalable and efficient data pipelines.
- Data quality management in DataOps.
- Introduction to popular tools like Apache Airflow, Docker, Kubernetes, and Terraform.
- How each tool fits into the DataOps pipeline and its role in automation.
- The importance of containerization in DataOps workflows.
- Continuous integration and delivery (CI/CD) for data pipelines.
- Automating data pipeline testing and validation.
- Using Jenkins or GitLab CI for automating data workflows.
- Best practices for ensuring data quality, security, and compliance in DataOps pipelines.
- Data privacy concerns and regulatory requirements (GDPR, HIPAA, etc.).
- Implementing data monitoring and logging for error detection and troubleshooting.
- Advanced orchestration with Apache Airflow and Kubernetes.
- Scaling data pipelines for large volumes of data.
- Real-time data processing and streamlining workflows.
- How to use cloud platforms like AWS, Google Cloud, or Azure for DataOps.
- Setting up and managing cloud-based data pipelines.
- Utilizing cloud-native tools for scaling and automating data operations.
- Integrating DevOps practices with DataOps to streamline collaboration between data teams and operations.
- The role of collaboration and communication in successful DataOps implementations.
- Monitoring and managing data pipelines using cloud-native monitoring tools.
- Strategies for building efficient, maintainable, and scalable data pipelines.
- Common pitfalls in DataOps and how to avoid them.
- Building a culture of continuous improvement in data operations.
- Real-world examples of DataOps implementations in industries like finance, healthcare, and e-commerce.
- How leading organizations have used DataOps to streamline their data workflows and improve decision-making.
- Review of key concepts covered throughout the course.
- Tips for preparing for the DataOps certification exam.
- Q&A session to clarify any doubts or questions.
- A comprehensive exam testing theoretical knowledge and practical skills learned throughout the course.
- Review of the exam and course content.
- Discuss next steps for continuing your DataOps journey.
- Awarding of DataOps Certification to successful participants.
- Providing resources for further learning and career development.
PROJECT
As part of this projects, we would help student to have first hand experience of real time software project development planning, coding, deployment, setup and monitoring in production from scratch to end. We would also help students to visualize a real development environment, testing environment and production environments. The goal of this project. Project technology would be Java, Pythong and DOTNET and based on microservices concept..
INTERVIEW
As part of this, You would given complete interview preparation support until you clear a interview and get onboarded with organziation including demo inteview and guidance. More than 50 sets of Interview KIT would be given including various project scenario of the projects.
OUR COURSE IN COMPARISON
| FEATURES | XOPSSCHOOL | OTHERS |
|---|---|---|
| Faculty Profile Check | ||
| Lifetime Technical Support | ||
| Lifetime LMS access | ||
| Top 25 Tools | ||
| Interviews Kit | ||
| Training Notes | ||
| Step by Step Web Based Tutorials | ||
| Training Slides | ||
| Training + Additional Videos |
DataOps certification is essential for every software engineer because it:
- Enhances Data Management Skills: Enables engineers to efficiently manage, automate, and optimize data pipelines, crucial for data-driven software applications.
- Fosters Collaboration: Promotes collaboration between data scientists, engineers, and operations teams, leading to faster and more reliable data-driven decisions.
- Improves Automation: Teaches automation techniques, reducing manual data management efforts and improving operational efficiency.
- Boosts Career Growth: As DataOps becomes increasingly important in organizations, certified engineers stand out in a competitive job market.
- Aligns with Industry Trends: With businesses relying heavily on real-time data, engineers with DataOps skills are better prepared for modern data-centric development environments.
Our DataOps Certification will help you by:
- Mastering Essential Tools: Gain hands-on experience with key DataOps tools like Apache Airflow, Docker, Kubernetes, and Terraform.
- Building Efficient Data Pipelines: Learn how to automate, scale, and optimize data pipelines for faster, more reliable data processing.
- Improving Collaboration: Bridge the gap between development and operations, fostering better teamwork in data-driven projects.
- Accelerating Career Growth: Stand out in the job market with a certification in a high-demand field, boosting your career opportunities.
- Real-Time Data Insights: Equip yourself with the skills to deliver timely, high-quality data for improved decision-making.
- Basic Programming Knowledge: Familiarity with scripting languages like Python or Bash.
- Version Control Systems: Understanding of Git for managing code and collaborating with teams.
- Familiarity with Data Concepts: Basic knowledge of data pipelines, ETL (Extract, Transform, Load), and data storage systems.
- Understanding of Operating Systems: Familiarity with Linux/Unix systems, as many DataOps tools run on these platforms.
- Cloud Platform Knowledge (Optional): Exposure to cloud services like AWS, Azure, or Google Cloud can be helpful but not required.
UPCOMING EVENTS - OTHER CERTIFICATION COURSES
October 2020
October 2020
October 2020
October 2020
October 2020
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DATAOPS CERTIFICATION
What are the benefits of DataOps Certification certifications?
Certifications always play an important role in any profession. It is considered as one of the best way to determine one’s credibility and worth in the professional career. The same thing is applicable in DataOps, if you are a certified DataOps professional then you will get certain benefits:
- DataOps Certification certification assure recruiters that the DataOps professional whom we are going to hire have the skills, knowledge, and competency to perform the responsibilities what expected from them after hiring.
- DataOps as a technology is dominating the job market. DataOps engineer ranks #2 on Glassdoor's best jobs rankings. The role of DataOps certified professional has seen a 200% jump in postings on indeed" according to SD times report
- This certified course helps anyone who aspires to make a career as a DataOps professional.
- DataOps Certified Engineer is one of the most highly paid job roles in the world. Pay scale even for junior level DataOps practitioner is quite high.
- According to indeed and other job portals, 80% of the companies pay more than $90000 starting salary to a DataOps Certified Professionals. Also, 35% pay at least $115000 and 17% more than $125000
- Obviously there are several factors which affects salary for like geography, skills, company, it varies accordingly. In Cities like Bangalore/Hyderabad DataOps Certified Professional can expect - INR 3,25,672 - 19,42,394 which is not at all a bad package.
- DataOps is going to stay here for long time. Therefore, organizations and as well as professionals need to change as they have no choice but to evolve. If they will evolve then demands of certified professionals will definitely increase and the sooner you do it, the sooner you will be in a leading position.
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FREQUENTLY ASKED QUESTIONS
1. What is DataOps Certification?
DataOps Certification is a specialized program that validates your ability to implement and manage efficient data operations using best practices, automation, and modern tools. The certification demonstrates your proficiency in designing, deploying, and optimizing data pipelines, as well as integrating data management with agile development processes.
2. Why should I take the DataOps Certification?
DataOps is rapidly becoming a crucial skill for organizations aiming to leverage their data more efficiently. By earning this certification, you will gain practical experience with the tools and techniques needed to streamline data workflows, improve collaboration between data and IT teams, and drive better, real-time decision-making. It will also enhance your career prospects in the data-driven job market.
3. Who should take the DataOps Certification?
This certification is ideal for software engineers, data engineers, DevOps professionals, and IT administrators who want to enhance their skills in managing data pipelines and automating data workflows. It’s also suitable for professionals transitioning into data-centric roles or those seeking to broaden their knowledge in modern data management practices.
4. What are the pre-requisites for the DataOps Certification?
To get the most out of this certification, you should have:
- Basic programming skills (e.g., Python, Bash).
- Understanding of version control systems like Git.
- Familiarity with data pipeline concepts and tools (ETL processes).
- Basic knowledge of Linux/Unix systems.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud (optional).
5. What tools will I learn during the certification?
During the certification program, you will gain hands-on experience with key tools used in DataOps, including:
- Apache Airflow for orchestrating data workflows.
- Docker and Kubernetes for containerization and deployment.
- Terraform for managing infrastructure as code.
- Git for version control and collaboration. You will also learn how these tools integrate into the DataOps lifecycle to enhance automation and scalability.
6. How long does the DataOps Certification course take?
The DataOps Certification course typically takes 3-5 days, depending on the mode of delivery (e.g., online or in-person) and the pace of learning. The course is designed to be intensive and hands-on, ensuring you are ready to apply what you've learned immediately.
7. Will I get hands-on experience during the course?
Yes, our certification program is designed to be hands-on. You will participate in labs and real-world scenarios where you can practice creating, managing, and automating data pipelines. This practical experience will give you a deeper understanding of DataOps and prepare you to implement these skills in the workplace.
8. How is the course delivered?
The DataOps Certification course is delivered through a combination of live instructor-led sessions, self-paced learning modules, and hands-on labs. You will also have access to online resources and support materials to reinforce your learning. This blend of learning styles ensures that you get both theoretical knowledge and practical experience.
9. Is there a certification exam?
Yes, there is a certification exam at the end of the course. The exam consists of practical exercises and assessments based on the tools and techniques taught during the program. Upon successful completion of the exam, you will receive the official DataOps Certification from Xopsscool.
10. What are the benefits of earning the DataOps Certification?
- Industry Recognition: The certification is recognized globally and will help you stand out in the competitive field of data management.
- Career Advancement: The certification will open up new career opportunities by demonstrating your expertise in DataOps and data pipeline management.
- Hands-on Skills: You will gain practical, real-world skills that can immediately be applied in your current job or new projects.
11. How can I enroll in the DataOps Certification course?
You can enroll in the DataOps Certification course by visiting our course registration page on Xopsscool.com. Simply fill out the registration form, select your preferred training date, and complete the payment to secure your spot.
12. What is the cost of the DataOps Certification?
The cost of the DataOps Certification program depends on the training format (in-person, virtual, or self-paced) and the course duration. For detailed pricing information, please visit our pricing page or contact our customer support team for a personalized quote.
13. Do I need to have a background in data science to take this course?
No, while knowledge of data concepts is beneficial, you do not need to have an advanced background in data science. This certification is suitable for professionals with basic knowledge of data pipelines, programming, and software engineering who are looking to expand into the DataOps field.
14. What support will I receive after the course?
After completing the DataOps Certification course, you will have access to a dedicated support team for any follow-up questions or guidance. We also offer additional resources, such as community forums, webinars, and ongoing updates to the course material to ensure you stay current with the latest industry trends and tools.
15. Can I take the course remotely or online?
Yes, we offer online and virtual learning options for those who prefer to take the DataOps Certification course remotely. You can participate in live sessions, complete practical labs, and interact with instructors and peers from anywhere in the world.
16. What makes Xopsscool’s DataOps Certification different from others?
At Xopsscool, we focus on delivering a practical, hands-on learning experience that mirrors real-world DataOps workflows. Our courses are led by industry professionals with years of experience, ensuring that you gain valuable insights into the tools and techniques currently shaping the data operations landscape. Additionally, our ongoing support, flexible learning options, and job-focused curriculum make our certification a top choice for professionals looking to advance their careers in data management.
REVIEWS
Abhinav Gupta, Pune
(5.0)The training was very useful and interactive. Rajesh helped develop the confidence of all.
Indrayani, India
(5.0)Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.
Ravi Daur , Noida
(5.0)Good training session about basic DataOps concepts. Working session were also good, howeverproper query resolution was sometimes missed, maybe due to time constraint.
Sumit Kulkarni, Software Engineer
(5.0)Very well organized training, helped a lot to understand the DataOps concept and detailed related to various tools.Very helpful.
Vinayakumar, Project Manager, Bangalore
(5.0)Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.
Abhinav Gupta, Pune
(5.0)The training with Xopsschool was a good experience. Rajesh was very helping and clear with concepts. The only suggestion is to improve the course content.
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