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Database

Description:

    Database course provides a comprehensive understanding of database management systems and their role in modern applications. Participants will learn about relational databases, SQL (Structured Query Language), data modeling, normalisation, indexing, and database administration. Through hands-on exercises and real-world scenarios, students will gain the skills necessary to design, implement, and manage databases effectively.

Duration:

    12 Weeks

Eligibility:

    Open to individuals with basic computer literacy and a keen interest in database management. No prior knowledge of databases is required, making it suitable for beginners. The course is ideal for students, aspiring database administrators, and professionals looking to enhance their database skills.

Benefits

  • Gain proficiency in writing SQL queries for data retrieval, manipulation, and management.
  • Course completion certificate
  • Internship Certificate
  • Acquire knowledge of database indexing and optimization techniques
  • Hands-on assignments

Syllabus

1: Introduction to Databases
  • Overview of databases and their role in information management
  • Types of databases (relational, object-oriented, NoSQL, etc.)
  • Introduction to database management systems (DBMS)
2: Relational Database Concepts
  • Relational database model and principles
  • Entities, attributes, and relationships
  • Database schemas and tables
3: Entity-Relationship (ER) Modeling
  • Introduction to ER modeling and diagrams
  • Entity types, attributes, and relationships
  • Cardinality and participation constraints
4: Introduction to SQL
  • Structured Query Language (SQL) and its role in database management
  • Basic SQL syntax and data manipulation commands (SELECT, INSERT, UPDATE, DELETE)
  • Filtering and sorting data
5: Advanced SQL
  • Subqueries and nested queries
  • Views and stored procedures
  • Indexes and query optimization
6: Database Design and Normalization
  • Functional dependencies and normalization concepts
  • Normal forms (1NF, 2NF, 3NF)
  • Database normalization techniques
7: Database Administration
  • Introduction to database administration tasks and responsibilities
  • User and security management
  • Backup and recovery strategies
8: Database Connectivity and APIs
  • Connecting databases to applications
  • Introduction to database APIs (e.g., JDBC, ODBC)
  • Working with database drivers and connection strings
9: Introduction to NoSQL Databases
  • Overview of NoSQL databases and their characteristics
  • Key-value stores, document databases, column-family databases, and graph databases
  • Introduction to MongoDB and Cassandra
10: Database Trends and Emerging Technologies
  • Introduction to cloud databases and database-as-a-service (DBaaS)
  • Big data and distributed databases
  • Introduction to data warehousing and business intelligence
Courses

Note: This syllabus provides a general outline for a Database course. The instructor can further customize it based on the students' needs and the course objectives. Additional topics like advanced SQL, database design patterns, data modeling techniques, or specific database management systems (Oracle, SQL Server, etc.) can be included in more advanced courses.

SQL

    Structured Query Language is a standard language for managing relational databases. It includes data definition language (DDL) statements for creating and modifying database schemas, data manipulation language (DML) statements for inserting, updating, and deleting data, and data query language (DQL) statements for retrieving data.
    Examples of SQL-based databases include MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and SQLite.

NoSQL

    NoSQL Query Languages: NoSQL databases use different query languages specific to their database systems. Some popular NoSQL databases and their associated query languages are:
    MongoDB: MongoDB uses MongoDB Query Language (MQL), which provides flexible and dynamic querying capabilities.
    Cassandra: Cassandra Query Language (CQL) is used for interacting with the Cassandra database.
    CouchDB: CouchDB uses MapReduce queries and the Mango Query Language.

ORM

    Object-Relational Mapping (ORM) Query frameworks provide query languages that allow developers to interact with databases using object-oriented paradigms.
    Examples include:
    Hibernate Query Language (HQL):
    Used with Hibernate ORM for Java applications.
    Entity Framework: Used with .NET applications.
    Django ORM: Used with Python applications.
Get In Touch

Pune, Maharashtra, India

+91 7558555801

asdrinfotech@gmail.com

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