The integration of ML into database creation and management represents a paradigm shift, offering efficiency, enhanced data quality, optimized performance, and improved security. While challenges exist, the benefits of leveraging ML in this context are substantial, positioning it as a transformative force in the evolution of database management practices. As technology continues to advance, the synergy between ML and database management is likely to play a pivotal role in shaping the future of data-driven applications.

1. Welcome
Database creation and management with ML
Student’s Name: UMA DEVI.L
Student’s Qualification: B
Pharmacy
Student
ID:CSRPL_STD_IND_HYD_
ONL/CLS_212/102023
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2. Index
● Introduction
● Database creation
● Types of databases
● Factors in choosing DBMS
● DBMSs
● Conclusion
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3. Database creation and
management with ML
Creating a database:
➢We use this software to organize and manipulate data in practice.
CREATE DATABSE [IF NOT EXISTS] database_name;
➢We use the data definition language CREATE statement to create
a database.
➢The command we need in this case is CREATE DATABASE. The
syntax to abide by is CREATE DATABASE.
➢[IF NOT EXISTS] is the optional statement.
➢The name of the database
➢And finally, a semicolon (;).
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4. 4
CREATE DATABASE:
➢ It will obviously create a database as an abstract unit.
➢ This means that for the moment the database will not contain any
data and will simply represent an object ready to be filled with
information.
[IF NOT EXISTS]:
➢It will verify if a database with same name exists already if it does,
this will impede us from creating a database with the same name.
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5. ➢ Brackets around indicate that the statement in between
them is optional in the syntax.
➢You could either type or omit the statement. Even if you
don’t include it code will run anyway.
➢Neverthless, always using it allows you to avoid potential
errors when working with large amount of data.
database_name :
➢Give a name that is short but at the same time as related
to the content of the data as possible.
➢Whether you use uppercase or lowercase letters only, or
both.
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6. ➢ while writing the name of the database quotes are
optional. Suppose the database name is trails, you
could either say “trails” with quotes or without using
quotes. It makes no difference.
• trails
• TRAILS
• Trails
• “trails”
Semicolon:
➢ Finally, you should always end your statements with the
semicolon character (;)
➢ It indicates that the statement is terminated.
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7. TYPES OF DATABASES:
● Hierarchical databases
● Relational databases
● Non – relational databses
● Object oriented databses
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8. DATABASE MANAGEMENT SYSTEM
• A database management system is a computerized data
keeping system.
• Users of the system are given facilities to perform several
kinds of operations on such a system for either manipulation
of the data in the database or management of the database
structure itself.
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9. What database management
system should you choose?
The perfect DBMS depends on several factors,
● Purpose of the database: Different DBMS are optimized for
different purposes.
For example, DBMSs are designed for transactions
processing, while others are designed for data
warehousing.
● The scale of the database: The size of the database,
number of users, and the amount of data that will be stored
all impact the choice of DBMS
● Performance requirements: The response time and
transactions will also affect the choice of DBMS.
● Cost: Different DBMS have different licensing fees and
hardware requirements.
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10. Based on the above mentioned factors, some popular
DBMS for database development include following,
● MY SQL: a widely used open-source relational database
management system.
● Postgre SQL: a powerful open-source object-relational
database management system.
● Microsoft SQL server: a popular commercial relational
database management system.
● Oracle database: a powerful and widely used
commercial relational database management system.
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11. ● Microsoft access: an older DBMS and prone to something
called “bloating”, but it is great for beginners. The user
interface is second to none for building your relational
database, forms, and queries.
● MongoDB: a document-oriented NoSQL database
management system known for its scalability and ease of
use.
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12. ● The best choice will depend on the size and complexity
of your database, the type of data you need to store,
performance requirements, and budget.
CONCLUSION
Databases are used to store, organize and
manipulate the data by using database
management systems.
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13. Thank You!
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(India | Canada)
9121151622/623/624
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