Authors: Ajay Kumar Kota

Abstract: In successful Business Intelligence (BI) projects, the transition from business requirements to technical implementation is often the most critical—and misunderstood—phase. This article introduces a structured approach for translating business logic into robust technical design through a "Mockup-to-Metadata" model. It explores how initial user mockups and conceptual dashboards can be methodically mapped to metadata layers, data models, and technical specifications. Emphasis is placed on identifying KPIs, filter logic, hierarchies, and aggregations early in the design process to avoid ambiguity and ensure alignment. By standardizing the translation process, BI teams can bridge the gap between non-technical business users and data architects, reduce project rework, and deliver consistent, scalable, and validated analytics solutions. Through practical frameworks, step-by-step mapping strategies, and a pharma-based case study, the article demonstrates how to build metadata-driven BI systems that are agile, auditable, and stakeholder-centric. This approach empowers organizations to foster collaboration, maintain governance, and accelerate delivery in complex BI environments.

DOI: https://doi.org/10.5281/zenodo.16022434

 

Published by: vikaspatanker

Authors: Professor Sakshi M. Rahangdale, Ms. Aachal Harinkhede, Ms. Dolly Raghorte, Ms. Jyoti Patle

Abstract: With the increasing reliance on digital platforms for education, e-learning has emerged as a powerful alternative to traditional classroom instruction. However, assessing students effectively in online environments poses numerous challenges, including issues of academic integrity, student engagement, technological access, and diverse learning styles. This paper focuses on improving student assessment practices in e-learning by exploring both pedagogical and technological innovations. It examines the limitations of conventional assessments like timed exams and emphasizes the need for more adaptive, continuous, and formative evaluation techniques. Advanced tools such as learning analytics, AI-driven assessment systems, and gamified quizzes are discussed for their potential to enhance objectivity and provide real-time feedback. Furthermore, the paper highlights the importance of inclusive assessment strategies that consider learners with varied needs, ensuring accessibility and fairness. It also underscores the need for teacher training in digital pedagogy to effectively design and implement online assessments. Strategies such as peer assessment, project-based evaluation, open-book exams, and scenario-based learning are proposed to make assessments more reflective of real-world understanding. By addressing technological, pedagogical, and ethical dimensions of e-assessment, this study aims to provide a comprehensive framework for educators and policymakers to design more robust, student-centered assessment systems in virtual learning environments. The insights presented can contribute to improving learning outcomes, promoting academic honesty, and increasing student satisfaction in e-learning ecosystems.

Published by: vikaspatanker

Authors: Mr. P.G.Gavade

Abstract: Now a days in every country like India we have a scarcity of fossil fuels. A hydrogen vehicle is a vehicle that uses hydrogen as its onboard fuel for motive power. Hydrogen vehicles include hydrogen fueled space rockets, as well as automobiles and other transportation vehicles. The credential part of this paper gives the theoretical application of hydrogen cells in vehicles of the modern century for lower emissions and higher efficiency. As the quantity of fossil fuels are very limited that is why we need an alternative source of energy or the fuels so we can save the fossils fuels for our future generation and the hydrogen.

DOI: https://doi.org/10.5281/zenodo.15964355

Published by: vikaspatanker

Authors: Fiza Shabir Mir

Abstract: Radiology plays a crucial role in ophthalmology by providing non-invasive imaging techniques for diagnosis and managing ocular diseases. The advancements in imaging technologies, modalities such as MRI, CT, USG and Optical Coherence Tomography (OCT) have significantly improved the detection of retinal, orbital and neuro-ophthalmic conditions. This paper explores the applications of radiological imaging in ophthalmology, highlighting recent techniques, advancements and their clinical impact.

Published by: vikaspatanker

Authors: P.Parthiban, Dasari Sai Vishnu Babu, Shaik Mustafa, Molla Baji

Abstract: Slurry-Infiltrated Fibrous Concrete (SIFCON) is a high-performance cementitious composite recognized for its outstanding ductility, impact resistance, and strength. This study evaluates the effects of varying hooked-end steel fiber content (1%, 3%, 5%, 7%, and 9%) and partial fly ash replacement on the flexural behavior of SIFCON. Designed to enhance sustainability and structural efficiency, the research explores how different fiber volumes and matrix compositions influence mechanical performance. Using simply supported beams tested under three-point bending, key parameters such as load capacity, deflection, crack patterns, and energy absorption are assessed. The findings reveal that flexural strength and toughness improve with increased fiber content, peaking at 8% volume. However, higher fiber concentrations lead to workability challenges and fiber clustering, which hinder stress uniformity. The study concludes that fly ash-based SIFCON with optimized fiber reinforcement offers a sustainable and robust solution for structural applications requiring superior flexural performance.

DOI: https://doi.org/10.5281/zenodo.15963222

Published by: vikaspatanker

Authors: Harish Govinda Gowda

Abstract: As enterprises accelerate their multi-cloud strategies, managing Identity and Access Management (IAM) and enforcing governance policies across platforms like AWS and GCP has become a top priority. These cloud providers offer distinct IAM models, policy enforcement tools, and logging mechanisms, creating complexity for organizations seeking consistent security, compliance, and operational control. This article explores a comprehensive governance framework for managing IAM and policy enforcement at scale in a dual-cloud environment. It examines core architectural principles, identity federation strategies, scalable IAM design, and automation practices using infrastructure-as-code and policy-as-code tools. Additionally, it highlights native policy enforcement mechanisms such as AWS Service Control Policies and GCP Organization Constraints, while outlining approaches for centralized monitoring, auditing, and anomaly detection. Through a real-world case study of a financial services platform, the article illustrates how cross-cloud governance can be automated, monitored, and evolved to meet business and regulatory demands. The piece concludes with lessons learned, technical recommendations, and a blueprint for sustainable cloud governance in large-scale environments.

DOI: https://doi.org/10.5281/zenodo.15917433

Published by: vikaspatanker

Authors: Harish Govinda Gowda

Abstract: In modern high-availability environments, runbooks and Standard Operating Procedures (SOPs) serve as foundational tools for maintaining system reliability, enabling rapid incident response, and ensuring compliance. As organizations scale their DevOps and Site Reliability Engineering (SRE) practices, the need for structured, version-controlled, and automation-ready documentation becomes increasingly urgent. This article explores the principles and practices of runbook engineering and SOP design, offering a practical playbook for DevOps teams operating in complex, cloud-native infrastructures. Through real-world case studies and forward-looking strategies, it highlights how well-designed documentation not only reduces mean time to resolution (MTTR) but also empowers teams to automate responses, facilitate onboarding, and meet regulatory requirements. With insights into intelligent triggers, governance models, and AI-driven operational tooling, this guide aims to elevate runbooks and SOPs from static artifacts to dynamic, self-healing components of platform resilience.

DOI: https://doi.org/10.5281/zenodo.15916756

Published by: vikaspatanker

Authors: Harish Govinda Gowda

Abstract: Hybrid enterprises are increasingly adopting cloud computing to modernize legacy systems, enhance scalability, and improve operational agility. However, transitioning to platforms like AWS and GCP involves more than simply shifting workloads—it requires strategic planning, robust security practices, and effective operational models that can support both on-premise and cloud-native systems. This article explores a comprehensive framework for successful cloud migration within hybrid environments, drawing from real-world case studies and best practices. Topics covered include cloud readiness assessment, phased workload migration strategies, network integration patterns, identity and access management, security and compliance alignment, and cloud-native operations. We also examine the unique hybrid capabilities offered by AWS and GCP, including Direct Connect, Interconnect, Anthos, and Outposts, and how these can be leveraged for seamless application continuity. Real enterprise case studies highlight key lessons learned, such as the importance of governance through Cloud Centers of Excellence, the role of infrastructure as code, and the value of unified observability.

DOI: https://doi.org/10.5281/zenodo.15916724

 

Published by: vikaspatanker

Authors: Harish Govinda Gowda

Abstract: In the evolving landscape of cloud-native development, deploying applications securely and reliably on Kubernetes is a critical challenge. This article explores a comprehensive approach to Kubernetes deployments using Helm for package management, Vault for secret management, and GitOps tools such as Argo CD or Flux for automation and auditability. It outlines the design and implementation of a secure deployment pipeline, highlights how to manage sensitive credentials dynamically, and explains the benefits of Git-based workflows for scalable, reproducible infrastructure changes. Real-world architectural patterns and best practices are shared, emphasizing role-based access control, policy enforcement, and observability. The article also examines common pitfalls and provides forward-looking insights into the future of secure DevOps practices. This unified methodology empowers teams to deliver applications faster, with higher confidence, while maintaining rigorous security and compliance standards.

DOI: https://doi.org/10.5281/zenodo.15916109

Published by: vikaspatanker

Authors: Harish Govinda Gowda

Abstract: In modern microservices-driven architectures, ensuring system reliability and user satisfaction demands a shift from traditional infrastructure monitoring to a Service Level Objective (SLO)-centric observability model. This paper explores how enterprises can leverage powerful platforms—Splunk, Dynatrace, and Google Stackdriver—to define, track, and enforce SLOs that align closely with real user experiences. It discusses the theoretical underpinnings of SLO-based monitoring, contrasts it with older paradigms like system uptime and generic thresholds, and outlines the integration challenges and architectural considerations of implementing observability at scale. Drawing from real-world case studies across finance, telecom, and e-commerce, the paper showcases successful applications of SLO frameworks in reducing alert fatigue, improving mean time to resolution, and enhancing cross-team accountability. It also presents a set of best practices and actionable recommendations for organizations at various stages of their observability journey.

DOI: https://doi.org/10.5281/zenodo.15915416

Published by: vikaspatanker