DR.PRERNA SAXENA, IT WOMEN SCIENTIST, GOOGLE CHROME & FOUNDER FOR PIONEERING THE RESEARCH AND INNOVATION PROJECT SANKALP SE SIDDHI BHARAT ADVENTURE ISLAND. RECOGNIZING VISIONARY LEADERSHIP IN AI EDUCATION AND NATIONAL DEVELOPMENT. Google for education CERTIFIED TRAINER DR.PRERNA SAXENA.
ADVENTURE ISLAND AT GOOGLE AS SANKALP SE SIDDHI BHARAT.
DR. PRERNA SAXENA IT WOMEN SCIENTIST AT GOOGLE
Thursday, December 4, 2025
HRMS: AN EBOOK ON DATABASE BY PRERNA SAXENA A BOOK IN A SUMMARY
The book you are referring to is "HRMS: AN EBOOK ON DATABASE" authored by Dr. Prerna Saxena.
This eBook focuses on the intersection of Human Resource Management Systems (HRMS) and Database Technology.1
Based on the author's background and published snippets, here is a description of the probable content and context of the book:
The book you are referring to is "HRMS: AN EBOOK ON DATABASE" authored by Dr. Prerna Saxena.
This eBook focuses on the intersection of Human Resource Management Systems (HRMS) and Database Technology.
Based on the author's background and published snippets, here is a description of the probable content and context of the book:
About the Ebook: HRMS: An Ebook on Database 📖
The eBook is designed to explain the fundamental concepts of an HRMS and how the underlying database management system (DBMS) is designed and implemented to handle Human Resource data.
The eBook is designed to explain the fundamental concepts of an HRMS and how the underlying database management system (DBMS) is designed and implemented to handle Human Resource data.
1. Core Subject Matter
The book likely covers the essential components required to build and maintain an effective HRMS database:
Introduction to HRMS: Defining the Human Resource Management System, its purpose in an organization, and how it automates HR functions.
Database Fundamentals: Reviewing the core concepts of databases, likely including the Relational Model (since HR data is highly structured).
Database Design: Focusing on the logical and physical design of the HRMS database, including creating the schema, defining tables, and establishing relationships (using Entity-Relationship (E-R) Diagrams).
SQL for HR Data: Demonstrating how Structured Query Language (SQL) is used for essential HR operations, such as:
Inserting new employee records.
Updating salary or promotion details.
Retrieving data for reporting (e.g., employee lists, department summaries, payroll generation).
The book likely covers the essential components required to build and maintain an effective HRMS database:
Introduction to HRMS: Defining the Human Resource Management System, its purpose in an organization, and how it automates HR functions.
Database Fundamentals: Reviewing the core concepts of databases, likely including the Relational Model (since HR data is highly structured).
Database Design: Focusing on the logical and physical design of the HRMS database, including creating the schema, defining tables, and establishing relationships (using Entity-Relationship (E-R) Diagrams).
SQL for HR Data: Demonstrating how Structured Query Language (SQL) is used for essential HR operations, such as:
Inserting new employee records.
Updating salary or promotion details.
Retrieving data for reporting (e.g., employee lists, department summaries, payroll generation).
2. Key HR Modules & Database Tables
The book would detail the specific data tables needed for different HR functions. Typical HRMS modules covered include:
HR Function Corresponding Database Tables Data Stored Employee Information Employees, Departments, Job_TitlesPersonal details, contact info, employee ID, reporting structure. Recruitment Applicants, Job_Openings, InterviewsCandidate résumés, application status, required skills. Payroll & Compensation Salaries, Benefits, Tax_InfoCurrent salary, pay history, deductions, insurance plans. Leave & Attendance Attendance_Records, Leave_BalancesClock-in/out times, accumulated sick/vacation leave, leave requests. Performance Management Appraisals, Goals, Training_RecordsReview scores, performance goals, completed training modules.
The book would detail the specific data tables needed for different HR functions. Typical HRMS modules covered include:
| HR Function | Corresponding Database Tables | Data Stored |
| Employee Information | Employees, Departments, Job_Titles | Personal details, contact info, employee ID, reporting structure. |
| Recruitment | Applicants, Job_Openings, Interviews | Candidate résumés, application status, required skills. |
| Payroll & Compensation | Salaries, Benefits, Tax_Info | Current salary, pay history, deductions, insurance plans. |
| Leave & Attendance | Attendance_Records, Leave_Balances | Clock-in/out times, accumulated sick/vacation leave, leave requests. |
| Performance Management | Appraisals, Goals, Training_Records | Review scores, performance goals, completed training modules. |
3. Author's Background
The author, Dr. Prerna Saxena, is noted for her strong background in Java Technology and Oracle, which are commonly used in the development and database management of enterprise systems like HRMS.2 Her work with Kindle Direct Publishing suggests the book is an educational and practical guide for students, developers, or HR professionals interested in the technical foundation of HR systems.3
Would you like to know more about the practical benefits an HRMS database provides to a modern organization?
The author, Dr. Prerna Saxena, is noted for her strong background in Java Technology and Oracle, which are commonly used in the development and database management of enterprise systems like HRMS.
Would you like to know more about the practical benefits an HRMS database provides to a modern organization?
Key Challenges and Considerations 🚧
The scale and sensitivity of government databases introduce unique challenges:
Data Security: Protecting massive amounts of highly sensitive personal and national security information from cyberattacks and unauthorized access is paramount.
Privacy and Trust: There is ongoing global debate about how governments collect, use, and link personal data. New regulations (like India's Digital Personal Data Protection Rules) seek to manage citizen rights versus state needs.
Interoperability: Getting different databases across various government departments (e.g., Police, Health, Tax) to securely communicate and share necessary information is a major technical hurdle.
Transparency (Open Data): Governments are increasingly making non-sensitive data available (like the Data.gov portal in the US or the Open Government Data Platform in India) to boost accountability and create public value.
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