International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Next-Generation Database Infrastructure: Oracle RAC on Linux with Advanced PL/SQL Development and Cross-Tool Integration
| Author(s) | Satya Nanda Vara Prasad Kanchumarthi |
|---|---|
| Country | United States |
| Abstract | Purpose This paper aims to examine the evolution of next-generation database infrastructures using Oracle Real Application Clusters (RAC) on Linux, emphasizing advanced PL/SQL development and integration with cross-platform tools. The study investigates how these technologies enhance scalability, availability, and performance in enterprise environments. Design/methodology/approach The research adopts a qualitative and analytical approach by reviewing existing literature (pre-2023), industry case studies, and technical documentation. It evaluates Oracle RAC architecture, PL/SQL optimization techniques, and integration frameworks such as REST APIs, ETL tools, and cloud-based services. Findings The study finds that Oracle RAC on Linux significantly improves fault tolerance and load balancing. Advanced PL/SQL techniques enhance processing efficiency, while cross-tool integration enables interoperability across heterogeneous systems. However, complexity in configuration and high operational costs remain challenges. Practical implications Organizations can leverage Oracle RAC with Linux to build resilient database systems. Developers can utilize advanced PL/SQL techniques to optimize query execution. Integration with modern tools supports data-driven decision-making and real-time analytics. Originality/value This paper provides a comprehensive synthesis of database clustering, programming optimization, and system integration, offering a unified perspective that bridges infrastructure and application development. |
| Keywords | Oracle RAC, Linux, PL/SQL, Database Infrastructure, High Availability, Cluster Computing, Data Integration, Enterprise Systems, SQL Optimization, Distributed Databases |
| Field | Engineering |
| Published In | Volume 8, Issue 1, January-February 2026 |
| Published On | 2026-02-06 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i01.75405 |
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