Instructor Led Training

Fundamentals of Database Systems

Instructor-led training (ILT) is a traditional form of education that involves a skilled instructor leading a classroom or virtual session to deliver training to learners.

Course Syllabus

Limited seat available, enroll before date May 20, 2024.

why should buy instructor led course?

Investing in an instructor-led course offers several advantages that can greatly enhance your learning experience. One of the key benefits is the opportunity to receive expert guidance from seasoned professionals who possess extensive knowledge and expertise in the subject matter. These instructors can offer valuable insights, address your queries, and provide guidance tailored to your specific needs. Additionally, instructor-led courses follow a well-structured curriculum, ensuring a comprehensive learning journey that covers all the essential topics. This structured approach enables you to progress in a logical and organized manner, building a strong foundation of knowledge. Moreover, instructor-led courses often provide personalized feedback, allowing you to receive individualized assessments and guidance to improve your understanding and skills.

Professional Certificate.

Obtaining certification of completion is a significant benefit that comes with many instructor-led courses. This certification serves as formal recognition of your successful completion of the course and showcases your commitment to learning and professional development. It can be a valuable addition to your resume or portfolio, highlighting your expertise and dedication in a specific field or skill set. Certification demonstrates to employers, clients, or colleagues that you have acquired the necessary knowledge and skills to perform tasks effectively. It can enhance your credibility and open doors to new career opportunities or advancements. Moreover, certification provides a sense of accomplishment and satisfaction, validating the time and effort you invested in the course. Ultimately, the certification of completion offers tangible evidence of your commitment to continuous learning and professional growth, making it a worthwhile asset in today's competitive job market.

Estimated time

4 Months

Enroll by

May 20, 2024

Skills acquired

No degree or skills required.

How Does It Work?

Zoom meeting with student twice a week.

As an educator, I have implemented a structured learning approach by conducting Zoom meetings with my students twice a week. This interactive platform has become an invaluable tool for fostering meaningful connections and facilitating engaging discussions in a virtual classroom setting.

AI Tutor support.

Mentoring support plays a crucial role in guiding individuals towards personal and professional growth. By offering mentorship, I provide a safe and supportive space for individuals to explore their goals, challenges, and aspirations.

Assignments and Grade.

Assignments and grading are essential components of the educational process, allowing students to demonstrate their understanding of concepts and skills while providing teachers with a means to assess their progress. Assignments are designed to reinforce learning, encourage critical thinking, and promote independent problem-solving.

Here's what you will learn

Lessons 1: Preface

Lessons 2: Databases and Database Users

Introduction
An Example
Characteristics of the Database Approach
Actors on the Scene
Workers behind the Scene
Advantages of Using the DBMS Approach
A Brief History of Database Applications
When Not to Use a DBMS
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 3: Database System Concepts and Architecture

Data Models, Schemas, and Instances
Three-Schema Architecture and Data Independence
Database Languages and Interfaces
The Database System Environment
Centralized and Client/Server Architectures for DBMSs
Classification of Database Management Systems
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 4: Data Modeling Using the Entity–Relationship (ER) Model

Using High-Level Conceptual Data Models for Database Design
A Sample Database Application
Entity Types, Entity Sets, Attributes, and Keys
Relationship Types, Relationship Sets, Roles, and Structural Constraints
Weak Entity Types
Refining the ER Design for the COMPANY Database
ER Diagrams, Naming Conventions, and Design Issues
Example of Other Notation: UML Class Diagrams
Relationship Types of Degree Higher than Two
Another Example: A UNIVERSITY Database
Summary
Review Questions
Exercises
Laboratory Exercises
Selected Bibliography

Lessons 5: The Enhanced Entity–Relationship (EER) Model

Subclasses, Superclasses, and Inheritance
Specialization and Generalization
Constraints and Characteristics of Specialization and Generalization Hierarchies
Modeling of UNION Types Using Categories
A Sample UNIVERSITY EER Schema, Design Choices, and Formal Definitions
Example of Other Notation: Representing Specialization and Generalization in UML Class Diagrams
Data Abstraction, Knowledge Representation, and Ontology Concepts
Summary
Review Questions
Exercises
Laboratory Exercises
Selected Bibliography

Lessons 6: The Relational Data Model and Relational Database Constraints

Relational Model Concepts
Relational Model Constraints and Relational Database Schemas
Update Operations, Transactions, and Dealing with Constraint Violations
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 7: SQL Data Definition and Data Types

SQL Data Definition and Data Types
Specifying Constraints in SQL
Basic Retrieval Queries in SQL
INSERT, DELETE, and UPDATE Statements in SQL
Additional Features of SQL
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 8: More SQL: Complex Queries, Triggers, Views, and Schema Modification

More Complex SQL Retrieval Queries
Specifying Constraints as Assertions and Actions as Triggers
Views (Virtual Tables) in SQL
Schema Change Statements in SQL
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 9: The Relational Algebra and Relational Calculus

Unary Relational Operations: SELECT and PROJECT
Relational Algebra Operations from Set Theory
Binary Relational Operations: JOIN and DIVISION
Additional Relational Operations
Examples of Queries in Relational Algebra
The Tuple Relational Calculus
The Domain Relational Calculus
Summary
Review Questions
Exercises
Laboratory Exercises
Selected Bibliography

Lessons 10: Relational Database Design by ER- and EER-to-Relational Mapping

Relational Database Design Using ER-to-Relational Mapping
Mapping EER Model Constructs to Relations
Summary
Review Questions
Exercises
Laboratory Exercises
Selected Bibliography

Lessons 11: Introduction to SQL Programming Techniques

Overview of Database Programming Techniques and Issues
Embedded SQL, Dynamic SQL, and SQL J
Database Programming with Function Calls and Class Libraries: SQL/CLI and JDBC
Database Stored Procedures and SQL/PSM
Comparing the Three Approaches
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 12: Web Database Programming Using PHP

A Simple PHP Example
Overview of Basic Features of PHP
Overview of PHP Database Programming
Brief Overview of Java Technologies for Database Web Programming
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 13: Object and Object-Relational Databases

Overview of Object Database Concepts
Object Database Extensions to SQL
The ODMG Object Model and the Object Definition Language ODL
Object Database Conceptual Design
The Object Query Language OQL
Overview of the C++ Language Binding in the ODMG Standard
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 14: XML: Extensible Markup Language

Structured, Semistructured, and Unstructured Data
XML Hierarchical (Tree) Data Model
XML Documents, DTD, and XML Schema
Storing and Extracting XML Documents from Databases
XML Languages
Extracting XML Documents from Relational Databases
XML/SQL: SQL Functions for Creating XML Data
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 15: Basics of Functional Dependencies and Normalization for Relational Databases

Informal Design Guidelines for Relation Schemas
Functional Dependencies
Normal Forms Based on Primary Keys
General Definitions of Second and Third Normal Forms
Boyce-Codd Normal Form
Multivalued Dependency and Fourth Normal Form
Join Dependencies and Fifth Normal Form
Summary
Review Questions
Exercise
Laboratory Exercises
Selected Bibliography

Lessons 16: Relational Database Design Algorithms and Further Dependencies

Further Topics in Functional Dependencies: Inference Rules, Equivalence, and Minimal Cover
Properties of Relational Decompositions
Algorithms for Relational Database Schema Design
About Nulls, Dangling Tuples, and Alternative Relational Designs
Further Discussion of Multivalued Dependencies and 4NF
Other Dependencies and Normal Forms
Summary
Review Questions
Exercises
Laboratory Exercises
Selected Bibliography

Lessons 17: Disk Storage, Basic File Structures, Hashing, and Modern Storage Architectures

Introduction
Secondary Storage Devices
Buffering of Blocks
Placing File Records on Disk
Operations on Files
Files of Unordered Records (Heap Files)
Files of Ordered Records (Sorted Files)
Hashing Techniques
Other Primary File Organizations
Parallelizing Disk Access Using RAID Technology
Modern Storage Architectures
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 18: Indexing Structures for Files and Physical Database Design

Types of Single-Level Ordered Indexes
Multilevel Indexes
Dynamic Multilevel Indexes Using B-Trees and B+-Trees
Indexes on Multiple Keys
Other Types of Indexes
Some General Issues Concerning Indexing
Physical Database Design in Relational Databases
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 19: Strategies for Query Processing

Translating SQL Queries into Relational Algebra and Other Operators
Algorithms for External Sorting
Algorithms for SELECT Operation
Implementing the JOIN Operation
Algorithms for PROJECT and Set Operations
Implementing Aggregate Operations and Different Types of JOINs
Combining Operations Using Pipelining
Parallel Algorithms for Query Processing
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 20: Query Optimization

Query Trees and Heuristics for Query Optimization
Choice of Query Execution Plans
Use of Selectivities in Cost-Based Optimization
Cost Functions for SELECT Operation
Cost Functions for the JOIN Operation
Example to Illustrate Cost-Based Query Optimization
Additional Issues Related to Query Optimization
An Example of Query Optimization in Data Warehouses
Overview of Query Optimization in Oracle
Semantic Query Optimization
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 21: Introduction to Transaction Processing Concepts and Theory

Introduction to Transaction Processing
Transaction and System Concepts
Desirable Properties of Transactions
Characterizing Schedules Based on Recoverability
Characterizing Schedules Based on Serializability
Transaction Support in SQL
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 22: Concurrency Control Techniques

Two-Phase Locking Techniques for Concurrency Control
Concurrency Control Based on Timestamp Ordering
Multiversion Concurrency Control Techniques
Validation (Optimistic) Techniques and Snapshot Isolation Concurrency Control
Granularity of Data Items and Multiple Granularity Locking
Using Locks for Concurrency Control in Indexes
Other Concurrency Control Issues
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 23: Database Recovery Techniques

Recovery Concepts
NO-UNDO/REDO Recovery Based on Deferred Update
Recovery Techniques Based on Immediate Update
Shadow Paging
The ARIES Recovery Algorithm
Recovery in Multidatabase Systems
Database Backup and Recovery from Catastrophic Failures
Summary
Review Questions
Exercises
Selected Bibliography

Lessons 24: Distributed Database Concepts

Distributed Database Concepts
Data Fragmentation, Replication, and Allocation Techniques for Distributed Database Design
Overview of Concurrency Control and Recovery in Distributed Databases
Overview of Transaction Management in Distributed Databases
Query Processing and Optimization in Distributed Databases
Types of Distributed Database Systems
Distributed Database Architectures
Distributed Catalog Management
Summary
Review Questions
Selected Bibliography

Lessons 25: NOSQL Databases and Big Data Storage Systems

Introduction to NOSQL Systems
The CAP Theorem
Document-Based NOSQL Systems and MongoDB
NOSQL Key-Value Stores
Column-Based or Wide Column NOSQL Systems
NOSQL Graph Databases and Neo4j
Summary
Review Questions
Selected Bibliography

Lessons 26: Big Data Technologies Based on MapReduce and Hadoop

What Is Big Data?
Introduction to MapReduce and Hadoop
Hadoop Distributed File System (HDFS)
MapReduce: Additional Details
Hadoop v2 alias YARN
General Discussion
Summary
Review Questions
Selected Bibliography

Lessons 27: Enhanced Data Models: Introduction to Active, Temporal, Spatial, Multimedia, and Deductive Databases

Active Database Concepts and Triggers
Temporal Database Concepts
Spatial Database Concepts
Multimedia Database Concepts
Introduction to Deductive Databases
Summary
Review Questions
Exercise
Selected Bibliography

Lessons 28: Introduction to Information Retrieval and Web Search

Information Retrieval (IR) Concepts
Retrieval Models
Types of Queries in IR Systems
Text Preprocessing
Inverted Indexing
Evaluation Measures of Search Relevance
Web Search and Analysis
Trends in Information Retrieval
Summary
Review Questions
Selected Bibliography

Lessons 29: Data Mining Concepts

Overview of Data Mining Technology
Association Rules
Classification
Clustering
Approaches to Other Data Mining Problems
Applications of Data Mining
Commercial Data Mining Tools
Summary
Review Questions
Selected Bibliography

Lessons 30: Overview of Data Warehousing and OLAP

Introduction, Definitions, and Terminology
Characteristics of Data Warehouses
Data Modeling for Data Warehouses
Building a Data Warehouse
Typical Functionality of a Data Warehouse
Data Warehouse versus Views
Difficulties of Implementing Data Warehouses
Summary
Review Questions
Selected Bibliography

Lessons 31: Database Security

Introduction to Database Security Issues
Discretionary Access Control Based on Granting and Revoking Privileges
Mandatory Access Control and Role-Based Access Control for Multilevel Security
SQL Injection
Introduction to Statistical Database Security
Introduction to Flow Control
Encryption and Public Key Infrastructures
Privacy Issues and Preservation
Challenges to Maintaining Database Security
Oracle Label-Based Security
Summary
Review Questions
Exercises
Selected Bibliography

Appendix A: Alternative Diagrammatic Notations for ER Models

Appendix B: Parameters of Disks

Appendix C: Overview of the QBE Language

C.1 Basic Retrievals in QBE
C.2 Grouping, Aggregation, and Database Modification in QBE

frequently asked questions

Instructor Led Training refers to a traditional form of education where a knowledgeable instructor leads a classroom or virtual session to deliver training to learners. It involves direct interaction between the instructor and participants, allowing for real-time feedback and guidance.

ILT offers numerous benefits, including personalized attention, immediate clarification of doubts, interactive discussions, and hands-on learning experiences. It promotes engagement, fosters collaboration among learners, and enables participants to receive expert guidance from the instructor.

Unlike e-learning or self-paced courses, ILT provides a structured and interactive learning environment. It allows participants to engage with the instructor and fellow learners, receive real-time feedback, and benefit from the instructor's expertise. ILT offers the opportunity for immediate clarification and fosters dynamic interactions.

Yes, ILT can be conducted virtually using web conferencing tools or virtual classroom platforms. This allows participants from different locations to join the training session and interact with the instructor and peers through video conferencing, chat features, and shared documents.

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Instructor Led Course