{"id":2227,"date":"2026-05-07T09:33:51","date_gmt":"2026-05-07T09:33:51","guid":{"rendered":"https:\/\/www.rajeshkumar.xyz\/blog\/?p=2227"},"modified":"2026-05-07T09:33:51","modified_gmt":"2026-05-07T09:33:51","slug":"the-ultimate-guide-to-mastering-the-certified-dataops-architect-path-cdoa","status":"publish","type":"post","link":"https:\/\/www.rajeshkumar.xyz\/blog\/the-ultimate-guide-to-mastering-the-certified-dataops-architect-path-cdoa\/","title":{"rendered":"The Ultimate Guide to Mastering The Certified DataOps Architect Path (CDOA)"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Introduction<\/h2>\n\n\n\n

The CDOA \u2013 Certified DataOps Architect<\/a> program represents a vital shift in how modern enterprises manage their data lifecycles. As organizations struggle with massive data volumes, the need for architectural standards that mirror DevOps principles has become essential for success. This guide assists software engineers, data professionals, and engineering managers in navigating the complex landscape of automated data pipelines and collaborative workflows. By understanding this framework at DataOpsSchool<\/a>, professionals can make informed career decisions that align with the growing demand for scalable and reliable data infrastructure. Mastering these concepts ensures that you remain competitive in an era where data driven decision making defines industry leadership.<\/p>\n\n\n\n

What is the CDOA \u2013 Certified DataOps Architect?<\/h2>\n\n\n\n

The CDOA \u2013 Certified DataOps Architect represents a professional standard focused on the integration of data engineering with agile operational practices. It exists to bridge the gap between data science teams and IT operations, ensuring that data delivery is both rapid and high in quality. This certification emphasizes production focused learning, moving beyond theoretical models to address the actual challenges of building resilient data platforms. It aligns perfectly with modern engineering workflows by introducing automation, continuous integration, and monitoring into the data management process. Enterprises adopt this framework to reduce the cycle time of data analytics while maintaining strict governance and security standards.<\/p>\n\n\n\n

Who Should Pursue CDOA \u2013 Certified DataOps Architect?<\/h2>\n\n\n\n

Data engineers and cloud architects find immense value in this path as it formalizes their ability to design automated environments. SREs and DevOps professionals looking to pivot into data intensive projects also benefit from understanding the nuances of data state and persistence. This program caters to beginners seeking a structured entry point and experienced leaders who need to oversee enterprise wide data transformations. In the global market, and specifically within the growing tech hubs of India, these roles are becoming critical for digital modernization efforts. Managers also pursue this certification to better understand the technical debt and operational overhead associated with complex data ecosystems.<\/p>\n\n\n\n

Why CDOA \u2013 Certified DataOps Architect is Valuable and Beyond<\/h2>\n\n\n\n

The demand for architects who can harmonize data development and operations continues to grow as companies move toward real time analytics. This certification offers longevity because it focuses on architectural principles rather than just specific, fleeting software tools. It helps professionals stay relevant by teaching them how to build flexible systems that can adapt to future technological shifts without requiring a total overhaul. The return on time and career investment is significant, as organizations prioritize candidates who can demonstrate a reduction in data errors and deployment delays. Ultimately, it positions you as a strategic asset capable of driving efficiency in any data centric organization.<\/p>\n\n\n\n

CDOA \u2013 Certified DataOps Architect Certification Overview<\/h2>\n\n\n\n

The program is delivered via the official curriculum and is hosted on dataopsschool.com. It utilizes a practical assessment approach that evaluates a candidate\u2019s ability to solve real world architectural bottlenecks. The certification levels are structured to take a learner from foundational concepts to advanced system design, ensuring a steady progression of expertise. This structure is designed to be lean and industry relevant, focusing on the ownership of the entire data pipeline from ingestion to consumption. Professionals gain a clear understanding of how to manage infrastructure as code while specifically tailoring it for the unique requirements of big data.<\/p>\n\n\n\n

CDOA \u2013 Certified DataOps Architect Certification Tracks & Levels<\/h2>\n\n\n\n

The curriculum is divided into foundation, professional, and advanced levels to cater to different stages of a career. The foundation level introduces core concepts like version control for data and automated testing of pipelines. At the professional level, the focus shifts to specialized tracks such as FinOps for data and integrated security within the data lifecycle. Advanced levels prepare architects to lead large scale migrations and design multi cloud data strategies. These levels align with career progression by providing a clear roadmap from an individual contributor to a principal architect or technical lead.<\/p>\n\n\n\n

Complete CDOA \u2013 Certified DataOps Architect Certification Table<\/h2>\n\n\n\n
Track<\/th>Level<\/th>Who it\u2019s for<\/th>Prerequisites<\/th>Skills Covered<\/th>Recommended Order<\/th><\/tr><\/thead>
DataOps Core<\/td>Foundation<\/td>Aspiring Data Engineers<\/td>Basic SQL & Linux<\/td>Data Versioning, CI\/CD<\/td>1<\/td><\/tr>
Data Architecture<\/td>Professional<\/td>Senior Engineers<\/td>2+ Years Experience<\/td>Pipeline Orchestration<\/td>2<\/td><\/tr>
Data Governance<\/td>Professional<\/td>Compliance Officers<\/td>Security Basics<\/td>Metadata Management<\/td>3<\/td><\/tr>
Platform Engineering<\/td>Advanced<\/td>Principal Architects<\/td>Advanced DevOps<\/td>Infrastructure as Code<\/td>4<\/td><\/tr>
Data FinOps<\/td>Advanced<\/td>FinOps Practitioners<\/td>Cloud Cost Basics<\/td>Cloud Data Cost Scaling<\/td>5<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Export to Sheets<\/p>\n\n\n\n

Detailed Guide for Each CDOA \u2013 Certified DataOps Architect Certification<\/h2>\n\n\n\n

CDOA \u2013 Certified DataOps Architect \u2013 Foundation<\/h3>\n\n\n\n

What it is<\/h3>\n\n\n\n

This certification validates a professional’s understanding of basic DataOps principles and the necessity of automation in data workflows. It serves as the entry point for those transitioning from traditional database management to modern data operations.<\/p>\n\n\n\n

Who should take it<\/h3>\n\n\n\n

It is suitable for junior data engineers, system administrators, and recent graduates who want to build a career in data infrastructure. No prior architectural experience is required for this level.<\/p>\n\n\n\n

Skills you\u2019ll gain<\/h3>\n\n\n\n
    \n
  • Understanding of the DataOps manifesto and core values.<\/li>\n\n\n\n
  • Proficiency in basic version control for data schemas.<\/li>\n\n\n\n
  • Ability to identify bottlenecks in manual data delivery processes.<\/li>\n\n\n\n
  • Knowledge of collaborative tools used by data and ops teams.<\/li>\n<\/ul>\n\n\n\n

    Real-world projects you should be able to do<\/h3>\n\n\n\n
      \n
    • Set up a basic automated data ingestion pipeline using open source tools.<\/li>\n\n\n\n
    • Implement version control on a small scale SQL database schema.<\/li>\n<\/ul>\n\n\n\n

      Preparation plan<\/h3>\n\n\n\n
        \n
      • 7\u201314 Days:<\/strong> Focus on the core vocabulary and the philosophy of DataOps.<\/li>\n\n\n\n
      • 30 Days:<\/strong> Practice basic shell scripting and familiarize yourself with Docker containers.<\/li>\n\n\n\n
      • 60 Days:<\/strong> Build a complete end to end project that automates a simple data move.<\/li>\n<\/ul>\n\n\n\n

        Common mistakes<\/h3>\n\n\n\n

        Candidates often ignore the cultural aspects of DataOps and focus only on the technical tools. Another mistake is failing to understand the difference between standard DevOps and DataOps.<\/p>\n\n\n\n

        Best next certification after this<\/h3>\n\n\n\n
          \n
        • Same-track option:<\/strong> CDOA Professional Level.<\/li>\n\n\n\n
        • Cross-track option:<\/strong> Cloud Practitioner Certification.<\/li>\n\n\n\n
        • Leadership option:<\/strong> Technical Team Lead Foundation.<\/li>\n<\/ul>\n\n\n\n
          \n\n\n\n

          CDOA \u2013 Certified DataOps Architect \u2013 Professional<\/h3>\n\n\n\n

          What it is<\/h3>\n\n\n\n

          The professional level validates the ability to design and implement complex, automated data pipelines that handle large scale enterprise workloads. It focuses on the technical integration of diverse data sources and targets.<\/p>\n\n\n\n

          Who should take it<\/h3>\n\n\n\n

          Intermediate data engineers and DevOps professionals with at least two years of experience should pursue this level. It is intended for those who actively build and maintain production systems.<\/p>\n\n\n\n

          Skills you\u2019ll gain<\/h3>\n\n\n\n
            \n
          • Advanced pipeline orchestration using modern workflow engines.<\/li>\n\n\n\n
          • Implementation of automated data quality testing and monitoring.<\/li>\n\n\n\n
          • Designing scalable storage solutions that support high velocity data.<\/li>\n\n\n\n
          • Integrating security protocols directly into the data delivery process.<\/li>\n<\/ul>\n\n\n\n

            Real-world projects you should be able to do<\/h3>\n\n\n\n
              \n
            • Create a self healing data pipeline that alerts and reruns on failure.<\/li>\n\n\n\n
            • Deploy a production grade data warehouse with automated schema migrations.<\/li>\n<\/ul>\n\n\n\n

              Preparation plan<\/h3>\n\n\n\n
                \n
              • 7\u201314 Days:<\/strong> Review advanced orchestration patterns and error handling strategies.<\/li>\n\n\n\n
              • 30 Days:<\/strong> Work on lab environments to simulate pipeline failures and performance tuning.<\/li>\n\n\n\n
              • 60 Days:<\/strong> Complete a capstone project involving a multi stage data processing engine.<\/li>\n<\/ul>\n\n\n\n

                Common mistakes<\/h3>\n\n\n\n

                Many candidates fail to account for data drift and schema changes in their designs. Relying too heavily on manual intervention for error recovery is another frequent error.<\/p>\n\n\n\n

                Best next certification after this<\/h3>\n\n\n\n
                  \n
                • Same-track option:<\/strong> CDOA Advanced Architect.<\/li>\n\n\n\n
                • Cross-track option:<\/strong> Certified Kubernetes Administrator.<\/li>\n\n\n\n
                • Leadership option:<\/strong> Certified Engineering Manager.<\/li>\n<\/ul>\n\n\n\n

                  Choose Your Learning Path<\/h2>\n\n\n\n

                  DevOps Path<\/h3>\n\n\n\n

                  Professionals in this path focus on applying their existing CI\/CD knowledge to data intensive applications. They learn how to manage data state and ensure that database deployments are as seamless as application code. This journey transitions a standard DevOps engineer into a specialized role that can handle the unique challenges of data persistence. By mastering these skills, they help organizations achieve a truly unified delivery pipeline.<\/p>\n\n\n\n

                  DevSecOps Path<\/h3>\n\n\n\n

                  This path prioritizes the integration of security and compliance into the very fabric of the data lifecycle. Architects learn to automate data masking, encryption, and access control within the pipeline itself. It is essential for those working in regulated industries like finance or healthcare where data privacy is paramount. This ensures that security is never an afterthought but a functional requirement of every data movement.<\/p>\n\n\n\n

                  SRE Path<\/h3>\n\n\n\n

                  Site Reliability Engineers focus on the availability and performance of data platforms through this learning path. They apply the concepts of Service Level Objectives and Error Budgets to data pipelines and storage systems. This training helps them build resilient data architectures that can withstand unexpected surges in traffic or hardware failures. It bridges the gap between infrastructure stability and data throughput requirements.<\/p>\n\n\n\n

                  AIOps Path<\/h3>\n\n\n\n

                  In this track, professionals explore how to use machine learning to improve IT operations and data management. They learn to implement predictive monitoring and automated root cause analysis within their data environments. This path is ideal for those looking to build “smart” infrastructure that adapts to changing patterns without human intervention. It represents the cutting edge of automated system administration.<\/p>\n\n\n\n

                  MLOps Path<\/h3>\n\n\n\n

                  This path focuses on the lifecycle of machine learning models, from development to deployment and monitoring. It addresses the specific needs of managing model versions, training data sets, and inference at scale. Professionals learn to build pipelines that treat ML models with the same rigor as traditional software. This is a critical skill set for companies looking to productionize their artificial intelligence efforts.<\/p>\n\n\n\n

                  DataOps Path<\/h3>\n\n\n\n

                  The core DataOps path is dedicated to optimizing the entire data supply chain for speed and accuracy. It teaches the methodologies required to turn raw data into actionable insights with minimal manual effort. Architects in this path become experts in orchestration, data quality, and team collaboration. They are the primary drivers of agility within modern data departments.<\/p>\n\n\n\n

                  FinOps Path<\/h3>\n\n\n\n

                  This path addresses the financial management of cloud data resources to prevent spiraling costs. Architects learn to design systems that are not only performant but also cost effective in a pay as you go environment. They gain skills in tagging, cost allocation, and rightsizing large scale data clusters. This ensures that the technical success of a data project does not lead to a financial burden.<\/p>\n\n\n\n

                  Role \u2192 Recommended CDOA \u2013 Certified DataOps Architect Certifications<\/h2>\n\n\n\n
                  Role<\/th>Recommended Certifications<\/th><\/tr><\/thead>
                  DevOps Engineer<\/td>CDOA Foundation, CDOA Professional<\/td><\/tr>
                  SRE<\/td>CDOA Professional, SRE Specialized Track<\/td><\/tr>
                  Platform Engineer<\/td>CDOA Advanced Architect, Infrastructure Track<\/td><\/tr>
                  Cloud Engineer<\/td>CDOA Foundation, Multi-Cloud Data Track<\/td><\/tr>
                  Security Engineer<\/td>CDOA DevSecOps Track<\/td><\/tr>
                  Data Engineer<\/td>CDOA Foundation, CDOA Professional, CDOA Advanced<\/td><\/tr>
                  FinOps Practitioner<\/td>CDOA FinOps Track<\/td><\/tr>
                  Engineering Manager<\/td>CDOA Foundation, Leadership Track<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

                  Export to Sheets<\/p>\n\n\n\n

                  Next Certifications to Take After CDOA \u2013 Certified DataOps Architect<\/h2>\n\n\n\n

                  Same Track Progression<\/h3>\n\n\n\n

                  Deepening your specialization involves moving toward the Advanced Architect level where the focus is on multi region and multi cloud strategies. You might also explore niche areas like real time streaming architecture or specialized big data storage systems. Continuous learning in this track ensures you can handle the most complex data challenges an enterprise might face. It prepares you for the highest levels of technical individual contribution.<\/p>\n\n\n\n

                  Cross-Track Expansion<\/h3>\n\n\n\n

                  Broadening your skills often means picking up certifications in adjacent fields like Kubernetes administration or advanced cloud security. Understanding how the underlying infrastructure interacts with the data layer makes you a much more versatile architect. You can also explore artificial intelligence tracks to understand how data pipelines feed into the next generation of applications. This approach makes you a well rounded professional capable of working across different technical silos.<\/p>\n\n\n\n

                  Leadership & Management Track<\/h3>\n\n\n\n

                  For those looking to move into management, certifications in engineering leadership or project management are excellent follow ups. These programs teach you how to manage the human and process elements of a DataOps transformation. You learn how to build high performing teams, manage budgets, and align technical goals with business outcomes. This transition allows you to influence the strategic direction of your organization\u2019s data journey.<\/p>\n\n\n\n

                  Training & Certification Support Providers for CDOA \u2013 Certified DataOps Architect<\/h2>\n\n\n\n

                  DevOpsSchool<\/strong> offers a comprehensive range of training programs that focus on the practical application of DataOps and DevOps tools. Their curriculum is designed by industry experts to ensure that students gain hands on experience with real world scenarios. They provide extensive lab sessions and project based learning to help professionals master the complexities of modern data architectures.<\/p>\n\n\n\n

                  Cotocus<\/strong> provides specialized consulting and training services aimed at helping organizations adopt agile and automated workflows. Their approach emphasizes the integration of people, processes, and technology to drive digital transformation. They offer tailored coaching for individuals looking to excel in the DataOps and cloud native space.<\/p>\n\n\n\n

                  Scmgalaxy<\/strong> is a well known community and training platform that provides deep dives into configuration management and continuous integration. They offer a wealth of resources including tutorials, forums, and workshops for engineers looking to sharpen their technical skills. Their focus on automation helps professionals stay at the forefront of the industry.<\/p>\n\n\n\n

                  BestDevOps<\/strong> delivers high quality training content focused on the latest trends in software delivery and operational excellence. They offer structured courses that guide learners through the intricacies of building and maintaining scalable systems. Their training is designed to be accessible yet technically rigorous for working professionals.<\/p>\n\n\n\n

                  devsecopsschool.com<\/strong> specializes in the critical intersection of development, security, and operations. They provide training that helps engineers build secure pipelines from the start, focusing on automated security testing and compliance. Their courses are essential for anyone looking to master the security aspects of the data lifecycle.<\/p>\n\n\n\n

                  sreschool.com<\/strong> focuses on the principles of site reliability engineering, teaching professionals how to build and operate highly available systems. Their curriculum covers monitoring, incident response, and performance tuning for complex environments. They help engineers apply SRE concepts specifically to the challenges of data platform stability.<\/p>\n\n\n\n

                  aiopsschool.com<\/strong> offers training in the emerging field of AI driven operations, showing how machine learning can transform IT management. Their courses cover the implementation of intelligent monitoring systems and automated anomaly detection. This is a vital resource for those looking to integrate AI into their operational workflows.<\/p>\n\n\n\n

                  dataopsschool.com<\/strong> is the primary destination for professionals seeking to master the CDOA curriculum and advance their data architecture careers. They offer focused tracks on every aspect of DataOps, from foundational concepts to advanced enterprise strategies. Their platform is built for industry relevance and practical skill acquisition.<\/p>\n\n\n\n

                  finopsschool.com<\/strong> provides essential training on cloud financial management, helping organizations optimize their cloud spend. Their courses teach professionals how to align technical architecture with financial accountability and efficiency. They offer practical strategies for managing the costs of large scale data and cloud resources.<\/p>\n\n\n\n

                  Frequently Asked Questions (General)<\/h2>\n\n\n\n
                    \n
                  1. How difficult is the CDOA certification for someone with no data background?<\/strong><\/li>\n<\/ol>\n\n\n\n

                    It is manageable if you start with the foundation level, as the curriculum builds from the ground up without assuming prior expertise.<\/p>\n\n\n\n

                      \n
                    1. How long does it typically take to complete the professional level?<\/strong><\/li>\n<\/ol>\n\n\n\n

                      Most professionals with a full time job find that 30 to 60 days of consistent study is sufficient to prepare.<\/p>\n\n\n\n

                        \n
                      1. Are there any specific prerequisites for the advanced architect track?<\/strong><\/li>\n<\/ol>\n\n\n\n

                        Yes, it generally requires completion of the professional level and a few years of hands on experience in the field.<\/p>\n\n\n\n

                          \n
                        1. Does this certification help with career growth in India?<\/strong><\/li>\n<\/ol>\n\n\n\n

                          Absolutely, as the Indian tech sector is heavily investing in data driven modernization, these skills are in high demand.<\/p>\n\n\n\n

                            \n
                          1. What is the return on investment for this program?<\/strong><\/li>\n<\/ol>\n\n\n\n

                            The ROI is reflected in higher salary potential and the ability to lead high impact architectural projects at major firms.<\/p>\n\n\n\n

                              \n
                            1. Should I learn DevOps before starting DataOps?<\/strong><\/li>\n<\/ol>\n\n\n\n

                              While helpful, it is not strictly necessary as the CDOA foundation level covers the relevant DevOps concepts from a data perspective.<\/p>\n\n\n\n

                                \n
                              1. Is the exam based on multiple choice questions or lab work?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                The assessment includes a mix of conceptual questions and practical, scenario based tasks to evaluate real world readiness.<\/p>\n\n\n\n

                                  \n
                                1. How often do I need to renew my certification?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                  The certification is typically valid for two to three years, after which you can renew through continuing education or advanced levels.<\/p>\n\n\n\n

                                    \n
                                  1. Can an engineering manager benefit from this technical program?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                    Yes, it provides the technical vocabulary and strategic understanding needed to oversee modern data teams effectively.<\/p>\n\n\n\n

                                      \n
                                    1. Are there community forums for support during the learning process?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                      The hosting platform provides access to student communities and expert mentors for troubleshooting and guidance.<\/p>\n\n\n\n

                                        \n
                                      1. How does this differ from a standard data engineering certificate?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                        This program focuses specifically on the “Ops” side\u2014automation, collaboration, and reliability\u2014rather than just data modeling.<\/p>\n\n\n\n

                                          \n
                                        1. Is the training available online or only in person?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                          The program is designed for global accessibility with comprehensive online modules and remote lab environments.<\/p>\n\n\n\n

                                          FAQs on CDOA \u2013 Certified DataOps Architect<\/h2>\n\n\n\n
                                            \n
                                          1. What specific tools are covered in the CDOA curriculum?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                            The curriculum focuses on architectural patterns using industry standard tools for orchestration, containerization, and version control.<\/p>\n\n\n\n

                                              \n
                                            1. How does CDOA address data privacy and compliance?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                              It includes specific modules on automating data masking and ensuring compliance standards are met within the delivery pipeline.<\/p>\n\n\n\n

                                                \n
                                              1. Can I skip the foundation level if I have experience?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                                Experienced candidates can often challenge the foundation exam or move directly to professional tracks based on their background.<\/p>\n\n\n\n

                                                  \n
                                                1. Is there a focus on multi cloud data strategies?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                                  Yes, the advanced levels specifically address the challenges of managing data across different cloud providers and on-premise systems.<\/p>\n\n\n\n

                                                    \n
                                                  1. Does the certification cover machine learning integration?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                                    The MLOps and AIOps tracks provide deep dives into how DataOps principles support AI and machine learning lifecycles.<\/p>\n\n\n\n

                                                      \n
                                                    1. What makes this certification unique compared to others?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                                      Its unique focus on bridging the cultural and technical gaps between data teams and operations sets it apart.<\/p>\n\n\n\n

                                                        \n
                                                      1. How does the assessment handle real world troubleshooting?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                                        The practical components require you to identify and fix bottlenecks in simulated production pipelines during the assessment.<\/p>\n\n\n\n

                                                          \n
                                                        1. Is financial optimization a core part of the architect role?<\/strong><\/li>\n<\/ol>\n\n\n\n

                                                          Yes, the FinOps track ensures that architects understand how to build cost efficient systems in the cloud.<\/p>\n\n\n\n

                                                          Final Thoughts: Is CDOA \u2013 Certified DataOps Architect Worth It?<\/h2>\n\n\n\n

                                                          For any professional hoping to take the lead in the current data environment, investing in the CDOA-Certified DataOps Architect course is a wise choice. Automated and collaborative ecosystems are quickly replacing human, compartmentalized data management in the industry. This credential offers the structure required to comprehend this change and actively promote it inside a business. It ensures that you can create systems that are both dependable and quick by striking a balance between operational knowledge and technological proficiency. The ensuing career resilience and marketability are well worth the effort, even though the learning curve may be challenging for some. In the end, earning your certification as an architect in this field identifies you as a progressive leader prepared to take on the challenges of the data environment of the future.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                          Introduction The CDOA \u2013 Certified DataOps Architect program represents a vital shift in how modern enterprises manage their data lifecycles. […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[243,141,240,241,45,242,105,104,142,109],"class_list":["post-2227","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-agiledata","tag-bigdata","tag-cdoa","tag-certifieddataopsarchitect","tag-cloudnative","tag-dataarchitecture","tag-dataengineering","tag-dataops","tag-devops","tag-pipelineautomation"],"_links":{"self":[{"href":"https:\/\/www.rajeshkumar.xyz\/blog\/wp-json\/wp\/v2\/posts\/2227","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rajeshkumar.xyz\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.rajeshkumar.xyz\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.rajeshkumar.xyz\/blog\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rajeshkumar.xyz\/blog\/wp-json\/wp\/v2\/comments?post=2227"}],"version-history":[{"count":1,"href":"https:\/\/www.rajeshkumar.xyz\/blog\/wp-json\/wp\/v2\/posts\/2227\/revisions"}],"predecessor-version":[{"id":2229,"href":"https:\/\/www.rajeshkumar.xyz\/blog\/wp-json\/wp\/v2\/posts\/2227\/revisions\/2229"}],"wp:attachment":[{"href":"https:\/\/www.rajeshkumar.xyz\/blog\/wp-json\/wp\/v2\/media?parent=2227"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rajeshkumar.xyz\/blog\/wp-json\/wp\/v2\/categories?post=2227"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rajeshkumar.xyz\/blog\/wp-json\/wp\/v2\/tags?post=2227"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}