International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
Optimizing Salesforce Data Model Design for ISV Partners
Author(s) | Praveen Kotholliparambil Haridasan |
---|---|
Country | USA |
Abstract | Salesforce provides a powerful platform to Independent Software Vendors (ISVs) for building and deployment applications, but the design of the data model poses challenges considering the multitenant architecture. A comprehensive review of Salesforce design model for ISV partners is delineated in this article which focuses on key considerations like performance optimization, data normalization, object relationships, and security practices. The article also explores the differences between the usage of standard and custom objects. It also addresses the importance of indexing, and other strategies for maintaining data integrity. Field encryption, record-level security, and package compliance are also addressed in this article. Consideration of these principles by the ISV partners will enable them to build high-performance and scalable applications to meet the diverse needs of the customers while staying within Salesforce's platform limitations. |
Published In | Volume 3, Issue 2, March-April 2021 |
Published On | 2021-03-23 |
Cite This | Optimizing Salesforce Data Model Design for ISV Partners - Praveen Kotholliparambil Haridasan - IJFMR Volume 3, Issue 2, March-April 2021. DOI 10.36948/ijfmr.2021.v03i02.5446 |
DOI | https://doi.org/10.36948/ijfmr.2021.v03i02.5446 |
Short DOI | https://doi.org/g8qqch |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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