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Course Overview

This comprehensive course covers a wide range of tools, techniques, and frameworks used in automation testing. It is designed to equip you with industry-ready skills to automate testing for web, mobile, API, and desktop applications. You'll gain hands-on experience with popular automation tools like Selenium, Appium, JMeter, and more, along with CI/CD integration for DevOps workflows.

Why to

Join This Course

Comprehensive training on database management concepts and practical SQL skills.

Hands-on experience with popular databases like MySQL, PostgreSQL, and Oracle.

Real-world projects to design and manage efficient database systems.

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  • Comprehensive understanding of DBMS and RDBMS concepts.
  • Hands-on training in designing and managing relational databases.
  • Mastering SQL queries for CRUD operations, joins, subqueries, and more.
  • Learn advanced topics like normalization, indexing, and transaction management.
  • Work on real-world projects to develop and manage databases.

Course Curriculum

Understanding DBMS and its applications.

Types of databases: Hierarchical, Network, and Relational.

Advantages and limitations of DBMS.

Key features of RDBMS.

Introduction to relational models, tables, rows, and columns.

Automating browser actions: form filling, navigation, etc.

Relational integrity constraints: Primary Key, Foreign Key, Unique, and Not Null.

Overview of SQL and its importance.

Data definition language (DDL): Create, Alter, Drop.

Data manipulation language (DML): Insert, Update, Delete.

Data query language (DQL): Select queries.

Joins: Inner, Left, Right, Full Outer Joins.

Subqueries, correlated subqueries, and nested queries.

Views, triggers, and stored procedures.

Indexing and its importance in query optimization.

Database design principles and best practices.

Normalization: 1NF, 2NF, 3NF, BCNF.

Denormalization and when to use it.

ACID properties of transactions.

Commit, rollback, and savepoint operations.

Handling concurrency: locking and isolation levels.

User management and roles in databases.

Backup and recovery strategies.

Database performance tuning.

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Get General Answers

FAQ Questions

DBMS manages data as files, while RDBMS organizes data in tabular formats with relationships using keys.
No prior programming knowledge is required; the course covers SQL from basics.
The course covers MySQL, PostgreSQL, and Oracle.
Yes, you will learn how to design efficient databases, including normalization techniques.
Yes, advanced topics like joins, subqueries, and indexing are included.
Yes, it's designed for beginners as well as professionals looking to enhance their database skills.
Projects include creating databases for e-commerce platforms, student management systems, and banking applications.
Yes, the course covers ACID properties, concurrency control, and locking mechanisms.
An overview of NoSQL databases is included for comparison with RDBMS.
Yes, a completion certificate will be provided after successfully finishing the program.
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