SQL Server Administration and Maintenance

Bharat Kumar Dokka; Dr Amit Kumar Jain

doi:10.36676/urr.v12.i1.1487

Authors

Bharat Kumar Dokka Madras University Chennai, Tamil Nadu, India 600005
Dr Amit Kumar Jain DCSE Roorkee Institute of Technology Roorkee, Uttarakhand, India

DOI:

https://doi.org/10.36676/urr.v12.i1.1487

Keywords:

SQL Server administration, database management, performance optimization, cloud integration, automation, security features, high availability, disaster recovery, predictive maintenance, AI-driven optimization, machine learning, containerization, microservices, data governance, compliance, hybrid deployment, query optimization, SQL Server

Abstract

The management and maintenance of SQL Server have witnessed significant advancements between 2015 and 2024, driven mainly by the growing complexity of database environments combined with the growing demands for systems that are highly available, secure, and high-performing. Throughout this period, several groundbreaking features were added, with the objective of making databases more scalable, efficient, secure, and manageable. Some of the major breakthroughs include advanced performance optimization techniques, automated software for regular maintenance tasks, and advanced security features such as Always Encrypted and Row-Level Security. Moreover, with the growing use of cloud computing, SQL Server has evolved towards hybrid environments, thus enabling greater flexibility and scalability through offerings such as Azure SQL Database and Azure Arc for hybrid deployments. Despite these advances, there are substantial research gaps, particularly in predictive maintenance, AI-optimized optimization, and the challenges of managing SQL Server environments in fast-evolving, containerized, and microservices-based environments. Additionally, as SQL Server evolves further, the need for seamless integration with future technologies like machine learning and big data analytics requires further research, particularly in PolyBase and SQL Server Machine Learning Services.

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