Database Administration - Syllabus

An overview of computers and their significance in today's world. This topic sets the stage for understanding the basics of computers.

Understanding the difference between digital and analog computers, their characteristics, and applications.

Exploring the key characteristics of computers, including input, processing, storage, and output.

A brief history of computers, from their inception to the present day, highlighting key milestones and developments.

Understanding the different generations of computers, including their features, advantages, and limitations.

Categorizing computers based on their size, functionality, and application, including desktops, laptops, and mobile devices.

Understanding the concept of tablespaces and data files, and learning how to create and add them to a database.

Managing control files, including creating, modifying, and maintaining them to ensure database integrity.

Understanding the role of online redo logs, and learning how to create, manage, and maintain them for database recovery.

Learning how to manage archive logs, including creating, storing, and maintaining them for database recovery and auditing.

Understanding the concept of multiplexing, and learning how to implement it to improve database availability and performance.

This topic covers the creation, modification, and management of tables and constraints in a database, including data types, relationships, and data integrity.

This topic explores the use of indexes, views, synonyms, and sequences to improve database performance, data retrieval, and data management.

This topic discusses the concepts of partitioning and materialized views, including their benefits, types, and implementation in a database.

This topic provides an introduction to PLSQL, including its features, benefits, and basic syntax for writing stored procedures, functions, and triggers.

This topic covers the creation, execution, and management of stored procedures and functions in a database, including their benefits and use cases.

This topic explores the concept of triggers, including their types, creation, and use cases in a database, as well as their benefits and limitations.

This topic discusses the concept of packages in PLSQL, including their benefits, creation, and use cases in a database.

Introduction to databases, including examples and basic concepts.

Introduction to Database Management Systems (DBMS), including advantages and examples.

Types of database users, including actors on the scene and workers behind the scene.

Advantages and benefits of using databases.

Types of data models, including hierarchical, network, ER, relational, and object models.

Three-schema architecture, including internal, conceptual, and external views.

Data independence, including logical and physical independence.

Types of database languages, including DDL, DML, SDL, and VDL.

Types of database interfaces, including menu-based, mobile apps, form-based, and GUI.

The database system environment, including DBMS component modules, utilities, tools, and communications facilities.

Types of database architectures, including centralized, client/server, one-tier, two-tier, three-tier, and N-tier.

Classification of Database Management Systems, including single and multi-user, centralized and distributed, homogeneous and heterogeneous, and general-purpose and special-purpose.

Introduction to databases, including examples and basic concepts.

Introduction to Database Management Systems (DBMS), including advantages and examples.

Types of database users, including actors on the scene and workers behind the scene.

Advantages and benefits of using databases.

Types of data models, including hierarchical, network, ER, relational, and object models.

Three-schema architecture, including internal, conceptual, and external views.

Introduction to multiple correlation, its concept, and application in statistics. Exploring the relationship between multiple variables.

Understanding partial correlation, its concept, and application in statistics. Analyzing the relationship between two variables while controlling for other variables.

Basic concepts and principles of multiple linear regression, including model formulation and estimation. Understanding the relationship between multiple independent variables and a dependent variable.

Testing hypotheses in multiple regression, including significance testing and confidence intervals. Evaluating the overall fit and significance of the regression model.

Testing the overall significance of the regression model, including F-test and p-value interpretation. Determining whether the regression model is a good fit to the data.

Testing the significance of individual regression coefficients, including t-test and p-value interpretation. Evaluating the contribution of each independent variable to the regression model.

Evaluating the goodness of fit and adequacy of the multiple regression model, including residual analysis and diagnostic plots. Identifying potential issues and limitations of the model.

Exploring the concept of databases in the cloud and their relevance in modern database administration. This topic covers the benefits and challenges of deploying databases in the cloud.

The database system environment, including DBMS component modules, utilities, tools, and communications facilities.

Types of database architectures, including centralized, client/server, one-tier, two-tier, three-tier, and N-tier.

Introduction to Database Management Systems (DBMS), including its definition, importance, and evolution. This topic covers the basics of DBMS and its role in managing data.

Database models refer to the conceptual representation of data organization and structure. This topic covers different database models such as hierarchical, network, and relational models.

Structured Query Language (SQL) is a standard language for managing relational databases. This topic covers the basics of SQL, including data definition, data manipulation, and data control languages.

Database design involves designing an efficient and secure database system. This topic covers database design principles, data security threats, and security measures to protect databases.

A data warehouse is a centralized repository that stores data from various sources. This topic covers the concept of data warehousing, its architecture, and its applications.

Data mining involves extracting useful patterns and knowledge from large datasets. This topic covers data mining techniques, including data preprocessing, pattern evaluation, and knowledge representation.

A database administrator (DBA) is responsible for designing, implementing, and maintaining a database system. This topic covers the roles and responsibilities of a DBA, including database performance tuning and troubleshooting.

Optimizing SQL statements for improved performance. This topic covers techniques for rewriting and tuning SQL code.

Using the SQL Tuning Advisor to analyze and optimize SQL statements. This topic covers how to use the advisor to improve SQL performance.