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Fundamentals of Database Systems

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Use the Fundamentals of Database Systems course and lab to learn database concepts and methodologies. Lab simulates real-world, hardware, software, and command-line interface environments and can be mapped to any textbook, course, and training. The database training course covers fundamental concepts necessary for designing, using, and implementing database systems and applications; database modeling and design; languages and models provided by database management systems; and database system implementation techniques.

Lessons

34+ Lessons | 104+ Quizzes | 170+ Flashcards | 170+ Glossary of terms

TestPrep

55+ Pre Assessment Questions | 50+ Post Assessment Questions |

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

Hands-on LAB Activities (Performance Labs)

Data Modeling Using the Entity–Relationship (ER) Model

  • Understanding Physical Schema – ER Model

The Enhanced Entity–Relationship (EER) Model

  • Understanding generalization

SQL Data Definition and Data Types

  • Creating a table
  • Using Referential Integrity constraints in a table
  • Using Check constraints in a table
  • Retrieving the data from the table
  • Using select-project-join query
  • Using alias-naming
  • Retrieving all the attribute values using asterisk
  • Retrieving the data using multiple condition
  • Specifying the cross product of the table
  • Using SELECT DISTINCT statement and UNION operator
  • Using substring pattern matching
  • Using arithmetic operators
  • Retrieving the sorted data using ORDER BY clause
  • Inserting values into a table
  • Inserting values into a table from existing table
  • Deleting the rows from a table
  • Updating the table

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

  • Retrieving values of a table using nested queries I
  • Retrieving values of a table using nested queries II
  • Retrieving values of a table using JOIN operator
  • Using Aggregate functions
  • Counting all the rows of a table
  • Using the GROUP BY and HAVING clauses
  • Using the CASE clause
  • Specifying general constraints as Assertions
  • Creating view
  • Modifying the table definition

The Relational Algebra and Relational Calculus

  • Retrieving the distinct rows from the table
  • Using the UNION operator
  • Using the SELECT operator
  • Understanding relational set operator

Object and Object-Relational Databases

  • Drag the object database concept to its description.

Basics of Functional Dependencies and Normalization for Relational Databases

  • Normalizing the unnormalized model to 1st normal form I
  • Normalizing the unnormalized model to 1st normal form II
  • Normalizing the 1st normal form to 2nd normal form
  • Normalizing the 2nd normal form to 3rd normal form
  • Analyzing the normal forms
  • Normalizing the 3rd normal form to BCNF

Relational Database Design Algorithms and Further Dependencies

  • Identifying inference rules

Disk Storage, Basic File Structures, Hashing, and Modern Storage Architectures

  • Understanding storage device types
  • Identifying the components of disk device
  • Understanding the buffer replacement strategies
  • Understanding program variables
  • Describing the hashing techniques

Indexing Structures for Files and Physical Database Design

  • Creating a function-based index
  • Using a function-based index

Strategies for Query Processing

  • Identifying the steps of processing a high-level query
  • Counting the number of department from the table
  • Using NOT IN operator
  • Using INTERSECT operator

Query Optimization

  • Unnesting query

Introduction to Transaction Processing Concepts and Theory

  • Understanding the page replacement method
  • Understanding the transaction states

Concurrency Control Techniques

  • Identifying deadlock dealing techniques

Database Recovery Techniques

  • Creating a backup

Distributed Database Concepts

  • Click to select the advantages of distributed databases.

NOSQL Databases and Big Data Storage Systems

  • Categorizing NOSQL systems

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

  • Classifying spatial operators

Introduction to Information Retrieval and Web Search

  • Identifying the features of databases and IR systems
  • Identifying types of queries

Data Mining Concepts

  • Understanding the applications of data mining

Database Security

  • Identifying database attacks
Training Method

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