Summary
Summary Resume: Principles of Database Management (KUL)
- Course
- Institution
- Book
Thorough resume of the chapters 1-4;6;7;14;15;17 of Principles of Database Management taught by Bart Baessens.
[Show more]
Connected book
Book Title:
Author(s):
- Edition:
- ISBN:
- Edition:
More summaries for
-
INF2603 Exam Pack 2024
-
Exam (elaborations) INF3703 Assignment 2 (COMPLETE ANSWERS) 2024 - DUE 28 June 2024 • Course • Databases II - INF3703 (INF3703) • Institution • University Of South Africa • Book • Principl...
-
Exam (elaborations) INF3703 Assignment 2 (COMPLETE ANSWERS) 2024 - DUE 28 June 2024 • Course • Databases II - INF3703 (INF3703) • Institution • University Of South Africa • Book • Principl...
Seller
Follow
sepm13
Reviews received
Content preview
PRINCIPLES OF DATABSE MANAGEMENTINHOUD
1. Fundamental Concepts of Database Management.......................................................................................2
2. Architecture and classification of DBMS.......................................................................................................4
Architecture of a DBMS................................................................................................................................4
Connection & security manager...................................................................................................................5
DDL Compiler................................................................................................................................................5
Query Processor...........................................................................................................................................5
Storage manager..........................................................................................................................................6
DBMS Utilities...............................................................................................................................................6
DBMS Interfaces...........................................................................................................................................6
Categorization of DBMS................................................................................................................................6
3. Conceptual Data Modeling using the (E)ER Model and UML Class Diagram.................................................8
Phases of Database Design...........................................................................................................................8
The ER model................................................................................................................................................8
The enhanced ER model (EER)......................................................................................................................9
The UML Class Diagram..............................................................................................................................10
4. Organizational Aspects of Data Management............................................................................................11
Data Management......................................................................................................................................11
5. Relational Databases (chapter 6 HB)...........................................................................................................13
The Relational Model..................................................................................................................................13
Normalization.............................................................................................................................................14
Mapping a Conceptual ER Model to a Relational Model............................................................................15
Mapping a Conceptual EER Model to a Relational Model...........................................................................16
6 & 7. SQL (chapter 7).....................................................................................................................................17
Relational Database Management Systems and SQL..................................................................................17
SQL Data Definition Language.....................................................................................................................17
SQL Data Manipulation Language...............................................................................................................18
SQL Views...................................................................................................................................................19
SQL Indexes................................................................................................................................................19
SQL Privileges..............................................................................................................................................20
SQL for Metadata Management.................................................................................................................20
8. Data Warehousing and Business Intelligence (chapter 17).........................................................................20
Decision-Making levels...............................................................................................................................20
Data Warehouse Definition........................................................................................................................20
Data Warehouse Schemas..........................................................................................................................20
The Extraction, Transformation and Loading (ETL) Process........................................................................22
1
, Data Marts..................................................................................................................................................22
Virtual Data Warehouses and Virtual Data Marts.......................................................................................22
Operational Data Store (ODS).....................................................................................................................23
Data Warehouses vs. Data Lakes................................................................................................................23
Business Intelligence...................................................................................................................................24
10. Basics of Transaction Management (chapter 14)......................................................................................25
Transactions, Recovery, and Concurrency Control.....................................................................................25
Transactions and Transaction Management...............................................................................................26
Recovery.....................................................................................................................................................27
Concurrency Control...................................................................................................................................28
ACID Properties of Transactions.................................................................................................................32
11. Accessing Databases and Database APIs (chapter 15)..............................................................................32
Database System Architectures..................................................................................................................32
Classification of Database APIs...................................................................................................................33
Universal Database APIs.............................................................................................................................33
1. Fundamental Concepts of Database Management
File Approach: every application has its own data file
- Duplicate data
- Danger of inconsistent data (updated in only one file)
- Structural change data file change in all applications that use it
- Hard to manage concurrency control (multiple users)
- Hard to integrate applications (cross-company)
Database Approach: applications directly interface with DBMS (superior)
2
, - Raw data
- Metadata: data definitions are stored in catalogue of the DBMS
metadata no longer included in applications, managed by DBMS
Database model: description of database data (…); specified during database design
and not changed frequently.
Conceptual data model
- Data items with their characteristics and relationships
- EER or object oriented
- Conceptual (user-friendly, implementation independent)
Logical data model
- Translation/mapping of conceptual data model towards specific implementation
environment
- Hierarchical, relational, object-oriented, XML, etc.
Internal data model (which data stored where, what format, etc. highly DBMS
specific)
External data (subsets of the data items in the logical model (=views) tailored
towards need of specific application or groups of users) ↓
Control data access and enforce security
Database state: current state of instances
Catalog:
- data definitions, metadata
- definitions of the views, logical and internal data models and synchronization
between these three data models
Database users:
- Information architect (conceptual data model)
- Database designer (logical and internal)
- Database administrator (DBA, implementation and monitoring)
3
, - Application developer (applications; Java/Python)
- Business user
Languages :
- Data Definition Language (DDL) for definitions stored in catalog (to express
external, logical & internal models)
- Data Manipulation Language (DML) to retrieve, insert, delete and modify data
- Structured Query Language (SQL) offers both DDL and DML statements for
relational DS
+ Data Independence, specifying integrity rules
- Changes in data definitions no impact on applications
- Physical: no changes in application/views/logical data model when data storage
specification are changed in internal data model
- Logical: software applications minimally affected by changes in
conceptual/logical data model
Structured Data: described to a formal logical data model (number, name, address,
etc); integrity rules (syntactical: string, integer, etc. or semantical:
correctness/meaning) and enforced correctness + facilitates searching, progressing &
analyzing
Unstructured Data: long text documents, etc.
Semi-structured Data: certain structure but may be irregular or highly volatile (CV’s,
social media profiles)
+ Managing data redundancy
+ Concurrency control (database transaction)
- ACID
o Atomicity: executed entirely or not at all
o Consistency: transaction brings DB from one consistent state to another
o Isolation: effect of concurrent transactions same as I’d be executed in
isolation
o Durability: changes made by a transaction declared successful can be
made permanent always
+ Data security (access control; read only, etc. B2B, B2C, …)
+ Performance Utilities
- 3 KPI’s
o Response time
o Throughput rate (aantal transactions/time)
o Space utilization
2. Architecture and classification of DBMS
Architecture of a DBMS
- DDL statements: create data definitions stored in catalog
4
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller sepm13. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $11.47. You're not tied to anything after your purchase.
Can Stuvia be trusted?
4.6 stars on Google & Trustpilot (+1000 reviews)
81113 documents were sold in the last 30 days
Founded in 2010, the go-to place to buy study notes for 14 years now