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GROUP MEMBERS NAME:
ITISHREE GURU – 230720100066
PRAJNA PRIYADARSINI PARIDA-230720100090 GUIDE BY :
PALLABI KAR-230720100094 Mr. Shatabdi Ghadei
SARAT KUMAR SAHOO-230720100096
SANKALP KUMAR SAHOO-230720100072
DATABASE
DEVELOPMENT LIFE
CYCLE
CONTENT
1. INTRODUCTION TO DDLC
2. PHASES OF DDLC
3. CHALLENGES
4. FUTURE SCOPE & TECHNOLOGY
5. CONCLUSION
INTRODUCTION
The Database Development Life Cycle (DDLC) is a structured approach to
designing, building, and maintaining a database system. It encompasses various
stages from the initial concept to the ongoing maintenance of the database. The
primary goal of the DDLC is to ensure that the database meets the organization's
requirements, is efficient, scalable, and reliable. Here is an introduction to the key
phases of the Database Development Life Cycle:
REQUIREMENT ANALYSIS
 Understanding users needs
 Gathering requirements
Database design
 Creating a design for a database
 Building data model or Development System Model
Evaluation and selection
 Evaluate the diverse DBMS
 Identify or Selection Best Performing/ an appropriate Database
 Some DBMS examples include MySQL, Microsoft Access, SQL Server,
Oracle.
Logical database design
 Translated into internal Model.
Physical database design
 Characterizes Data Storage and Data Access
 To describe how we intend to physically implement the logical database design.
Implementation
 Formation of Special Storage related Constructs
 Physical realization of the database and application designs.
– Use DDL to create database schemas and empty database files.
– Use DDL to create any specified user views.
Data loading
 Data loaded into the Database .
Testing and performance tuning
 Process of running the database system with the intent of finding errors.
Operation
 Access by the end users
 Data : Adding, Modifying, deletion
Maintenance
 Process of monitoring and maintaining database system following installation.
 Database Backup and Recovery
 Access Management
 Hardware Maintenance etc.
 Maintaining and upgrading database system (when required).
CHALLENGES :
The database development life cycle has several challenges including:
Challenges
Data
governance
Access to
data
storage
Data
administration
security
Analysis
Data quality
issue
TECHNOLOGY :
 The future of the Database Development Life Cycle (DDLC) promises
significant evolution, driven by advancing technologies and changing
industry demands.
 The future of database technology may include:
● Scalability, Performance, Insights, Distributed databases, Cloud-based
solutions, Artificial intelligence, Machine learning.
FUTURE SCOPE
 Future developments for databases:
• Cloud migration
• More creative ways to store data
• Data signatures and data pedigrees becoming more important
• More user-generated content
• More reliable image of the real world
CONCLUSION
We have seen the different phases of the software development life cycle and the
database development life cycle. Database development lifecycle (DDLC) is a subset
of the SDLC or we can say that the DDLC is part of the SDLC. The different phases
of DDLC are requirements analysis, database design, DBMS evaluation, selection,
implementation, data loading, testing, operation, performance tuning, and
maintenance. We saw the different activities performed in each phase and the output
generated in each phase.
THANK YOU

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DATABSE DEVELOPMENT LIFE CYCLE ( DBMS DDLC PPT )

  • 1. GROUP MEMBERS NAME: ITISHREE GURU – 230720100066 PRAJNA PRIYADARSINI PARIDA-230720100090 GUIDE BY : PALLABI KAR-230720100094 Mr. Shatabdi Ghadei SARAT KUMAR SAHOO-230720100096 SANKALP KUMAR SAHOO-230720100072 DATABASE DEVELOPMENT LIFE CYCLE
  • 2. CONTENT 1. INTRODUCTION TO DDLC 2. PHASES OF DDLC 3. CHALLENGES 4. FUTURE SCOPE & TECHNOLOGY 5. CONCLUSION
  • 3. INTRODUCTION The Database Development Life Cycle (DDLC) is a structured approach to designing, building, and maintaining a database system. It encompasses various stages from the initial concept to the ongoing maintenance of the database. The primary goal of the DDLC is to ensure that the database meets the organization's requirements, is efficient, scalable, and reliable. Here is an introduction to the key phases of the Database Development Life Cycle:
  • 4.
  • 5. REQUIREMENT ANALYSIS  Understanding users needs  Gathering requirements
  • 6. Database design  Creating a design for a database  Building data model or Development System Model
  • 7. Evaluation and selection  Evaluate the diverse DBMS  Identify or Selection Best Performing/ an appropriate Database  Some DBMS examples include MySQL, Microsoft Access, SQL Server, Oracle.
  • 8. Logical database design  Translated into internal Model.
  • 9. Physical database design  Characterizes Data Storage and Data Access  To describe how we intend to physically implement the logical database design.
  • 10. Implementation  Formation of Special Storage related Constructs  Physical realization of the database and application designs. – Use DDL to create database schemas and empty database files. – Use DDL to create any specified user views.
  • 11. Data loading  Data loaded into the Database .
  • 12. Testing and performance tuning  Process of running the database system with the intent of finding errors.
  • 13. Operation  Access by the end users  Data : Adding, Modifying, deletion
  • 14. Maintenance  Process of monitoring and maintaining database system following installation.  Database Backup and Recovery  Access Management  Hardware Maintenance etc.  Maintaining and upgrading database system (when required).
  • 15. CHALLENGES : The database development life cycle has several challenges including: Challenges Data governance Access to data storage Data administration security Analysis Data quality issue
  • 16. TECHNOLOGY :  The future of the Database Development Life Cycle (DDLC) promises significant evolution, driven by advancing technologies and changing industry demands.  The future of database technology may include: ● Scalability, Performance, Insights, Distributed databases, Cloud-based solutions, Artificial intelligence, Machine learning.
  • 17. FUTURE SCOPE  Future developments for databases: • Cloud migration • More creative ways to store data • Data signatures and data pedigrees becoming more important • More user-generated content • More reliable image of the real world
  • 18. CONCLUSION We have seen the different phases of the software development life cycle and the database development life cycle. Database development lifecycle (DDLC) is a subset of the SDLC or we can say that the DDLC is part of the SDLC. The different phases of DDLC are requirements analysis, database design, DBMS evaluation, selection, implementation, data loading, testing, operation, performance tuning, and maintenance. We saw the different activities performed in each phase and the output generated in each phase.