Techniques and Best Practices in Database Administration: Insights from Salesforce Ecosystem
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V7I2P123Keywords:
Database Administration, Salesforce, Cloud Computing, Data Modeling, Query Optimization, Performance Tuning, Data Governance, ScalabilityAbstract
Cloud-based solutions have dramatically changed contemporary data management, and effective database management is critical in terms of guaranteeing performance, scalability and data integrity. This paper explores key techniques and best practices in database administration with a focus on the Salesforce ecosystem. It discusses fundamental concepts such as data modeling, normalization, indexing, query optimization, and transaction management, which form the basis of efficient database systems. The study further examines database management in Salesforce, including schema design, data lifecycle management, and security mechanisms that support large-scale, multi-tenant environments. Advanced practices such as performance optimization and scalability techniques are analyzed to highlight their role in improving system efficiency. Moreover, the paper outlines key challenges, such as data volume, integration complexity, data quality issues, and governance requirements. New trends such as artificial intelligence, big data integration, low-code development, and cloud-native architecture are also discussed to understand future of database administration. All in all, the paper provides a detailed overview of how contemporary database practices and techniques can be used to improve the performance, reliability and data management of enterprise systems in cloud.
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