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.

Limited seat available, enroll before date May 13, 2024.
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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.

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Estimated time

4 Months

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Enroll by

May 13, 2024

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Skills acquired

No degree or skills required.

How Does It Work?

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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.

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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.

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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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