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- Types of keys.
- Candidate Key
- Primary Key
- Alternate Key
- Super Key
- Foreign Key
Database Management System (DBMS) & SQL: Complete Pack
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Software programs called database management systems have been used to collect, access, and access information. People can create, retrieve, modify, and erase data in databases using a DBMS, which acts as an interface between them and the databases. Data can be changed or downloaded by users and other applications because of DBMS, which controls the database, the database engine, and the database design. Database Management System (DBMS) & SQL: Complete Pack-2022 online certification is developed by Atchyut Kumar - Professional GATE CS & IT Faculty and is offered by Udemy.
Database Management System (DBMS) & SQL: Complete Pack-2022 online course is designed for participants who are interested in learning about the methodologies utilized in data security, concurrency, data integrity, and standard database administration practices. With Database Management System (DBMS) & SQL: Complete Pack-2022 online classes, participants will be provided with 16 hours of prerecorded resources that discuss topics like database design, relational database design, database management, normalization, database indexing, concurrency control and teaches them to organize, maintain and retrieve efficiently and effectively any information from a DBMS.
The highlights
- Certificate of completion
- Self-paced course
- 16 hours of pre-recorded video content
- Learning resources
Program offerings
- Online course
- Learning resources
- 30-day money-back guarantee
- Unlimited access
- Accessible on mobile devices and tv
Course and certificate fees
Fees information
₹ 2,499
certificate availability
Yes
certificate providing authority
Udemy
Who it is for
What you will learn
Database management
Sql knowledge
After completing the Database Management System (DBMS) & SQL: Complete Pack-2022 certification course, participants will the principles of database management along with the functionalities of database management systems for passing the exams like GATE, PSU, and ISRO. Participants will learn about relational algebra and relational calculus as well as the principles of SQL, SQL queries, and RDBMS. Participants will learn about strategies involved with the relational data model, entity-relationship model, database design, and relational database design. Participants will learn about concepts like concurrency control, database indexing, and normalization.
The syllabus
Keys : Candidate key, Primary key, Super key, Foreign Key.
Functional Dependency (FD)
- Functional Dependency : Introduction, Examples
- Types of Functional Dependencies : Trivial and Non-Trivial FD's.
- FD : Example.
- Inference Rules
- Attribute Closure : Example 2
- Attribute Closure : Example 3
- Attribute Closure : Example 4
- Applications of Attribute Closure
- Application 1 : Finding additional FD's
- Application 2 : Finding keys in a relation - Example 1 & 2.
- Application 2 : Finding keys in a relation - Example 3 & 4.
- Application 2 : Finding keys in a relation - Example 5 & 6.
- Application 2 : Finding keys in a relation - Example 7 & 8.
- Application 2 : Finding keys in a relation - Example 9 & 10.
- Application 2 : Finding keys in a relation - Example 11 & 12.
- Application 2 : Finding keys in a relation - Example 13 & 14.
- Application 3 : Equivalence of Functional Dependencies - Example 1
- Application 3 : Equivalence of Functional Dependencies - Example 2
- Application 3 : Equivalence of Functional Dependencies - Example 3
- Application 3 : Equivalence of Functional Dependencies - Example 4
- Application 4 : Irreducible set and Algorithm.
- Application 4 : Irreducible set - Example 1
- Application 4 : Irreducible set - Example 2.
- Partial Functional Dependency and Full Functional Dependency.
- Anomalies : Update, Deletion and Insertion Anomaly.
Normalization
- Normalization : Introduction and types.
- First Normal Form (1NF).
- Second Normal Form ( 2NF).
- 2NF : Examples - 1, 2, 3, 4 and NOTE.
- Third Normal Form ( 3NF).
- 3NF : Examples - 1, 2.
- 3NF : Example - 3.
- 3NF : Example - 4.
- Boyce Codd Normal Form ( BCNF).
Structured Query Language ( SQL )
- SELECT statement structure and evaluation order.
- SELECT clause Syntax and examples.
- DISTINCT keyword in SELECT clause.
- WHERE clause : Introduction.
- WHERE clause : Operators.
- WHERE clause : Logical Operators - AND, OR, NOT.
- WHERE clause : AND, OR, NOT - Together.
- ORDER BY clause : ASC, DESC
- Aggregate Functions : SUM(), AVG(), MIN(), MAX().
- Aggregate Functions : COUNT().
- Joins : Introduction, Cross Join.
- Joins : Theta Join / Conditional Join.
- Joins : Equi Join.
- Joins : Natural Join.
- Joins : Self Join
- Outer Join : Introduction.
- Joins : Left Outer Join
- Joins : Right Outer Join
- Joins : Full Outer Join
Relational Algebra (RA) and Relational Calculus (RC)
- Relational Algebra : Introduction.
- RA : Selection and Projection Operators.
- RA : Set Manipulation Operators(Union, Intersection, Difference)
- RA : Set Manipulation Operators - UNION
- RA : Set Manipulation Operators - INTERSECTION.
- RA : Set Manipulation Operators - SET DIFFERENCE.
- RA : Cartesian Product.
- RA : Rename Operator.
- RA : Join introduction and Types.
- RA : Conditional Join / Theta Join
- RA : Equijoin
- RA : Natural Join.
- RA : Outer Join
- RA : Left Outer Join
- RA : Right Outer Join
- RA : Full Outer Join
Transactions and Concurrency Control
- Transaction : Introduction
- Problem : Number of Searial and Concurrent Schedules.
- 1. Last update problem : Problems due to concurrency control.
- 2. Dirty Read Problem : Problems due to concurrency control.
- 3. Unrepeatable Read Problem : Problems due to concurrency control.
- Problem
- Non-recoverable Schedules.
- Recoverable Schedules.
- Cascading Schedules.
- Cascadeless Schedules.
- Strict Schedules
- Relation among Strict, Cascadeless and Recoverable Schedules.
- test
- test1
File Organization
- Introduction
- Storage Strategies : Spanned and Unspanned Strategies.
- Records organization in a file.
- Sparse Index and Dense Index.
- Indexing : Introduction.
- Indexing : Primary Indexing.
- Indexing : Primary Indexing - Numerical Problem.
- Indexing : Cluster Index.
- Indexing : Secondary Indexing.
- Indexing : Secondary Indexing - Example.
Instructors
Mr Atchyut Kumar
Faculty
Freelancer
M.E /M.Tech.
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