Sq lite module1

MODULE 1: SQL AND SQLITE
INTRODUCTION
SQL and Scripting Training
(C) 2020-2021 Highervista, LLC 1

2
TOPICS
Course Introduction
About Ron McFarland
Highervista LLC
About the Textbook used for this
course
Introduction to Databases
Proliferation of Data
Popularity of Databases
Data vs Information
Types of Databases
Importance of Database Design
Evolution of Modern Database
Systems
System Data Management
Components of a Database
System
Functions of a Database
Management System (DBMS)

INTRODUCTION
SQL and Scripting
Training

4
INTRODUCTION
Ron McFarland
Technologist, Educator
Source: Microsoft Images

5
ABOUT THIS COURSE
This course is distributed free. I use several
sources. But importantly, I use the book noted
on the next slide.
If you are using these PowerPoints, please
attribute Highervista, LLC and me (Ron
McFarland). IN ADDITION, please attribute
the author noted on the next slide, as the
author’s textbook provides essential
information for this course.

6
INTRODUCTION
This course is offered to you free. HOWEVER, please
purchase the following book, as it is a primary resource for
this course. I do not make any $ from this course or this
book. So, since a handful of good content is derived from the
following text, please support this author!
Title: SQL Quickstart Guide
Author: Walter Shields
Available: Amazon, B&N, and through ClydeBank media
website at:
https://www.clydebankmedia.com/books/programming-
tech/sql-quickstart-guide

7
CONNECT WITH RON MCFARLAND
Ron’s website: http://www.highervista.com
LinkedIn:
https://www.linkedin.com/in/highervista/

COURSE OVERVIEW SQL and Scripting
Training

9
COURSE DESCRIPTION
Study of the functions, underlying concepts, and applications of Structured Query
Language (SQL) and relational database management systems (RDBMS) in a
business environment.
The aim is to appropriately use SQL and the RDBMS to meet business requirements.
Discussion of entity/relationship diagrams (ERD), relational theory, normalization,
integrity constraints, SQL, and physical and logical design.
Additional advanced SQL topics include complex data types, functions, subqueries,
and views.

LEARNING TOPICS AND
PREREQUISITE
SQL and Scripting Training

11
LEARNING TOPICS
•An introduction to databases used in the
organization
•Database types
•The Relational Database model
•How to design a relational database
•How to design and create your own
database
•Use of SQL for relational databases
•SQLite as the primary database
"engine"
•Using a sample database (sTunes) with
the SQLite database engine
•Using a database browser for SQLite
•Implementing a database design in
SQLite
•Scripting commands that support SQLite
•How SQLite works with other
programming languages
oPython

12
COURSE PREREQUISITE
Preferred Competency and experience (academic or job-related)
in:
Finding solutions to problems using structured programming and step-wise
refinement techniques with a programming language.*
Use of pseudocode or other design techniques for software development.
Hands-on practice in software debugging, testing, and documentation.
Use of algorithms to solve problems.

13
REQUIRED RESOURCES
SQLite Home Page: https://sqlite.org/index.html
SQLite Browser: https://sqlitebrowser.org/
Draw.io: type in draw.io in your browser (for the ERD).
Various YouTube and Resource links.
Use of a sample SQLite database (provided).
Word processor for Project Documentation.
Spreadsheet for Data Dictionary

14
REQUIRED RESOURCES
Hardware Resources for SQLite database engine:
PC with Windows 10
Mac with Catalina 10.14 or higher
Note: SQLite can be used on Android, MacOS, Linux, etc.
Browsers for other tools in the course:
Common browsers include Chrome, Firefox, Safari (Mac).
DB Browser for SQLite (a GUI for the SQLite databases)
Draw.io (for data models) McFarland (2020)

INTRODUCTION TO DATABASES SQL and Scripting
Training

16
PROLIFERATION OF DATA
Proliferation of data throughout organizations and the web
Customer Data
Document & Document Management Systems
Communications & Communication Systems
Backups & Backup Storage
Transactional Data
Social Data
Sensors & Machines (IoT, SCADA, etc.)
Source: Spacey, J. (2016, February 4).
Source: Microsoft PowerPoint images

17
DATA USAGE
Source: Clement (n.d.).
Robust volume of
internet data in the
United States

18
INTERNET PENETRATION RATES
Source: Clement (2020, February 14)
Countries with the highest
internet penetration rates as
of 2020

19
TYPES OF INTERNET USERS: US
Source: Clement, J. (2020, February 18)

20
DATA OVER THE INTERNET
Google
2000—14 billion searches per year.
2020—7 to 10 billion searches per day.
YouTube
2017—Over 400 hours of video content uploaded per minute.
2019—500 hours per minute.
Facebook, Instagram, WhatsApp, Messenger
3.14 billion active users each month.

21
EXPONENTIAL GROWTH
Source: Smith (2020, July 11)

22
IMPACT
Every Google search, Facebook post, YouTube video request, and Amazon
product review is stored and managed on a server or servers subject to query.
SQL is the principal tool to decipher and cull information from a multitude of
data sources.
As a result, SQL skills are in demand.

23
INTERESTING FACTS ABOUT DATA
Only ½ of 1 percent of all data collected is analyzed.
Effective utilization can improve existing markets, open new
markets, support more effective fraud prevention, and yield other
benefits.
What impacts do you envision could occur if a higher volume of
data is analyzed?

24
DATABASES FULFILL NEEDS
Scientific and business need to
group data, determine its inter-
relationships and come to
conclusions.
Organizational need to
determine data quantity,
quality, place, time, position and
action.
Source: Microsoft PowerPoint Images

25
WHAT DATABASE MANAGEMENT CAN DO
1. A Database Management System Is an Extension of Human Logic
2. Computational Power: Computers Can Quickly Answer Lots of Questions
3. Solve Complex Problems: Some Questions Can Be Really Complicated
4. Handle Large Volumes of Data: We Are Easily Overwhelmed With Information
5. More Efficient Than Humans: Automation Is the Key to Efficiency
6. Better Than a Manual Process: A DBMS Is Better Than Manual Processes in so
Many Ways
7. Save Money!

27
DATA VS INFORMATION
Data are facts. The number 1,005 is data.
Without analysis and processing, facts do not have much
value in business decision making.
Data—raw facts.
Information—processed, refined, and aggregated data, or
data in a context.
October 5 (a date) vs October 5 (my birthday).
Information and knowledge support decision making. Source: Microsoft Images (2020)

29
DATA OR INFORMATION?
Data are basic
facts
Information
has context
Report shows what student is enrolled in a course on a given date. These facts have
little value out of context.
McFarland (2020)

30
DATA OR INFORMATION?
This report shows how many total students enrolled in each course and course popularity
based on enrollment. It can be used for business decisions such as adding sections of
popular courses.

31
TRANSFORMING DATA INTO
INFORMATION
When data is stored, it can be used as input for an information
system.
An information system has programs to process (or transform) data
to produce information as an output.
Information reveals the meaning of data.

32
TRANSFORMING DATA INTO INFORMATION
Example: Student data values such as ID, Name, Address, Major, and Phone Number represent
raw facts.
Class roll is a list showing students IDs and Names of those enrolled in specific class (course
section).

33
VIDEO: DATA-INFORMATION-KNOWLEDGE IN 3 MINUTES
Link:https://www.youtube.com/watch?v=sIjSY05JE9Q&feature=emb_logo

34
TYPES OF DATABASES: WHAT IS A DATABASE?
An electronic filing cabinet
Contains persistent storage
Users can insert new info, or change,
retrieve, or delete
CRUD: Create, Read, Update, Delete

35
TYPES OF DATABASES: PURPOSE
A database has a
purpose, or focus

36
TYPES OF DATABASES: LOGICAL EXAMPLE
• Table S: Suppliers
under contract
• Table P: Parts
• Table SP: Shipments

37
LOGICAL VS PHYSICAL DATABASE

38
LOGICAL VS PHYSICAL DATABASE
What the user sees. User can be end
user or developer. (logical design)
How the DBMS stores the data (physical
Implementation)

39
DATABASE MANAGEMENT SYSTEM
(DBMS)
Note: Previous slide showed database from the user’s perspective
(logical database)
What distinguishes a database from a Database Management
System (DBMS)?

40
DATABASE MANAGEMENT SYSTEM
(DBMS)
Essential Definition of a DBMS: Software designed to store,
retrieve, define, and manage data in a database.

41
KEY DIFFERENCES BETWEEN A DBMS
AND RDBMS

43
TYPES OF DATABASES
Data must be stored and organized properly to be processed easily,
so that accurate information is generated.
Databases are created to fulfill the task—the proper generation,
storage, and retrieval of data.
Even though they all share some common characteristics and benefits
such as data independence, data sharing, transaction control,
backup and recovery, there are various types of databases.

44
TYPES OF DATABASES
Based on number of users
Single-user database
Supports only one user at a time.
Examples: Microsoft Access, Microsoft Excel, SQLite, file-based data
storage.
Multi-user database
Supports multiple users simultaneously.
Examples: Oracle, MySQL, MS SQL Server.

45
TYPES OF DATABASES
Based on database location(s)
Centralized database—data located at a single site.
Distributed database—data distributed across multiple sites.
Based on data usage
Operational database—supports day-to-day operations.
Data warehouse—data aggregated from operational databases to
support strategic business decision making.

48
ROLE OF THE DBMS
The DBMS
manages the
interaction
between end
users and the
database.

49
KEY DATABASE TERMINOLOGY:
METADATA
Data about data.
Defines data characteristics such as
the data type (character or
numeric) and the relationships that
link the data.

50
KEY DATABASE TERMINOLOGY: RELATIONSHIPS
An important component of
database design.
Often defined by their
environment.

51
KEY DATABASE TERMINOLOGY: RELATIONSHIPS
Example: Employee and Job
The relationship between EMPLOYEE and JOB is likely to depend on the
organization's definition of the work environment.
In some organizations an employee can have multiple job assignments,
while in other organizations—or even in other divisions within the same
organization—an employee can have only one job assignment.

52
DATA MODELS
The details of relationship types
and the roles played by those
relationships are portrayed in
data models.

53
TRANSACTION (PRODUCTION) DATABASE
Reflects the daily operations of an organization.
Records transactions such as the sale of a product,
the enrollment of a student, or the opening of a
checking account.
Transactions are time-critical and must be
recorded accurately and immediately.

54
DATA WAREHOUSE
Data warehouse databases focus primarily on the storage of
data to be used to generate information for tactical and
strategic decision making.
Such decision making typically requires extensive data
manipulation to extract information from data. In short, the data
warehouse data are the source for decision support systems.
Data warehouse databases are far less time-critical than
transaction databases; the former record the historical data
record that will be used to formulate pricing decisions, sales
forecasts, market positioning, and so on.
Data warehouse databases typically store complex data
derived from many sources.

55
IMPORTANCE OF DATABASE DESIGN
A well-designed database will
Facilitate effective data management.
Generate accurate and valuable information to assist business decision making.
A poorly designed database
Will not achieve goals.
Can lead to bad decision making and organizational failure.

56
DATABASE DESIGN: CAVEATS
Good application programs can't overcome bad database
designs.
The existence of a DBMS does not guarantee good data
management, nor does it ensure that the database will be
able to generate correct and timely information.
Ultimately, the end user and the designer decide what
data will be stored in the database.

57
DATA MODEL: THE BLUEPRINT
The data model to database creation
is what a blueprint is to home
building.
A database created without the
benefit of a detailed blueprint (data
model) is unlikely to be satisfactory.

58
DATABASE DESIGN: TIPS TO REMEMBER
Good database design avoids
redundant data (unnecessarily
duplicated data).
A poorly designed database
generates inconsistent data
(inaccurate data). This can lead to
bad decisions and even failure of
the organization.Source: Microsoft Images

59
EVOLUTION OF THE MODERN DATABASE: MANUAL FILE SYSTEM
Traditionally composed of collection of file folders
kept in file cabinet.
Organization within folders was based on data's
expected use (ideally logically related).
System was adequate for small amounts of data with
few reporting requirements.
Finding and using data in growing collections of file
folders became time consuming and cumbersome.

60
CONVERSION FROM MANUAL FILE SYSTEM TO
COMPUTER FILE SYSTEM
Could be technically complex, requiring
hiring of data processing (DP) specialists.
DP specialists created file structures,
wrote software, and designed
application programs (manually
designed databases that were not
consistent).
Resulted in numerous "home-grown"
systems being created.
Initially, computer files were similar in
design to manual files Source: Microsoft Images

61
INITIAL CONVERSION OF MFS TO COMPUTER FILES
Source: DBMS Components (2020)

62
TERMINOLOGY OF COMPUTER FILE
SYSTEMS

63
DEPLOYMENT OF A SIMPLE FILE SYSTEM

64
CONTEXT: HISTORICAL BACKGROUND

65
FROM FILE SYSTEM TO DATABASE DEVELOPMENT
Data storage based on file system had
shortfalls that could lead to inaccurate,
outdated, or inconsistent information.
That led to some innovations in database
systems.
Modern, integrated database approach to
implementing data storage has many
advantages over small, isolated databases
with "islands of information" Source: Microsoft Images

66
EVOLUTION OF THE MODERN DATABASE
Manual file systems (MFS): Punch cards
Computerized file system: Paper tape, magnetic tape,
magnetic disk, and newer devices.
Direct File Processing: Direct access devices such as disks
facilitated replacement of sequential file processing (ISAM,
VSAM).

67
Systemwide Data
Management
Process

68
INTEGRATED DATABASES
Facilitates sharing of data so that many users can access the same piece of
information.
Can reduce redundancy and minimize data inconsistency as multiple copies of the
same data are not stored unless necessary.
Improves data security as an enterprise database allows security restrictions to be
defined and enforced on several levels.
Can improve data integrity, better balance conflicting requirements, develop new
applications faster, and provide better data accessibility, backup, and recovery
procedures.

69
DATABASE SYSTEM COMPONENTS
Hardware: Physical devices such as computers, I/O channels,
storage devices, and network devices.
Software: Operation system software, networking software,
DBMS software, application programs and utility software.
Data: The most important component. Collection of data
(business operational facts), as well as metadata (data about
data or description about data), stored in the database.

70
DATABASE SYSTEM COMPONENTS
Procedures: Instructions, processes, specifications and rules
that govern the design and use of the database system.
People: Users and stakeholders.
Database designer
Developers
System analysts
Application programmers
Database administrators
End users

72
DBMS: IMPORTANT FUNCTIONS
Data dictionary management: stores and manages metadata, or definition of
data elements and their relationships, in the database.
Data storage management: creates and manages complex structures required for
data storage.
Data transformation and presentation: converts entered data based on pre-
defined format and standard; retrieves and presents data to end users in proper,
user-friendly format.
Security management: safeguards data as well as the complete system from
unauthorized access; enforces data integrity and data privacy.
Multiuser access control: uses sophisticated algorithms to ensure that multiple users
can access the database concurrently without compromising the integrity and
consistency of the database.

73
Backup and recovery management provides special utilities for
routine and special backup and restore procedures; manages the
recovery of the database after a failure, such as a bad sector in the
disk or a power outage.
Data integrity management implements and enforces integrity rules
to minimize data redundancy and maximize data consistency.

74
Database access languages and application programming
interfaces provides data access through a standard query language,
or SQL (Structured Query Language). This non-procedural language
allows users to specify what must be done without having to specify
how.
Database communication interfaces serves users from multiple,
different network environments.

75
DATABASE MGMT SYSTEM: 10 GENERAL FUNCTIONS
To ensure data integrity and
consistency, a database has 10
general functions.
Functions common to systems including
hierarchical
network
relational
big data
object oriented

76
1. FUNCTIONS: DATA DICTIONARY MANAGEMENT
Data Dictionary—where the
DBMS stores definitions of the
data elements and their
relationships (metadata).
Used by DBMS to look up the
required data component
structures and relationships.
When programs access data in
a database they are basically
going through the DBMS.
McFarland (2020)

77
2. FUNCTIONS: DATA STORAGE MANAGEMENT
Used to store data and related
data entry forms or screen
definitions, report definitions, data
validation rules, procedural code,
and structures that can handle
video and picture formats.
Users do not need to know how
data is stored or manipulated.

78
2. FUNCTIONS: DATA STORAGE MANAGEMENT

79
3. FUNCTIONS: DATA TRANSFORMATION AND
PRESENTATION
Exists to transform data entered into
required data structures.
Using the data transformation and
presentation function, the DBMS can
determine the difference between
logical and physical data formats.

80
4. FUNCTIONS: SECURITY MANAGEMENT
Security management sets rules that
determine specific users allowed to
access the database.
Example: Username and password or
biometric authentication (such as a
fingerprint or retina scan). The latter
are more costly.
The security management function also
sets restraints on the specific data any
user can see or manage.

81
5. FUNCTIONS: MULTIUSER ACCESS CONTROL
Data integrity and data consistency
Enables multiple users to access the
database simultaneously without
affecting database integrity.

83
6. FUNCTIONS: BACKUP AND RECOVERY MANAGEMENT
Backup and recovery a consideration
for dealing with outside threats to a
database.
Example: How long does it take to
recover the database after a power
outage?
Backup management
data safety and integrity
example: backing up your mp3 files on a
disk

84
7. DATA INTEGRITY MANAGEMENT
The DBMS enforces rules to
reduce data redundancy,
maximize data consistency, and
ensuring database consistently
returns the correct answer for
the same query.

85
8. FUNCTIONS: DATABASE ACCESS LANGUAGES AND APPLICATION
PROGRAMMING INTERFACES (API)
How a DBMS can accept different end user
requests through different network
environments.
Example: A DBMS can provide access to the
database using the internet through many web
browsers (Mozilla Firefox, Internet Explorer,
Netscape), via the API.
A language environment, like the C
programming language or the Python
programming language, can interface with a
database, via the API.

86
8. FUNCTIONS: DATABASE ACCESS LANGUAGES AND APPLICATION PROGRAMMING
INTERFACES

87
9: FUNCTIONS: DATABASE COMMUNICATION INTERFACES
How a DBMS can accept different
end-user requests through
different network environments. An
example of this can be easily
related to the internet.
A DBMS can provide access to the
database using the Internet
through Web Browsers (Mozilla
Firefox, Internet Explorer,
Netscape).

88
10. FUNCTIONS: TRANSACTION MANAGEMENT
A DBMS must supply a method that
will guarantee that all the updates in
a transaction are made or not made.
ACID (Atomicity, Consistency,
Isolation, and Durability)

89
REFERENCES
Clement, J. (2020, February 14). Countries with the highest internet penetration rate 2020. Retrieved August 28, 2020,
from https://www.statista.com/statistics/227082/countries-with-the-highest-internet-penetration-rate/
Clement, J. (2020, February 18). United States digital population 2020. Retrieved August 28, 2020, from
https://www.statista.com/statistics/1044012/usa-digital-platform-audience/
Clement, J. (n.d.). Topic: Internet usage in the United States. Retrieved August 28, 2020, from
https://www.statista.com/topics/2237/internet-usage-in-the-united-states/
McFarland, R. (2020). Published Articles: Ron McFarland. Retrieved December 03, 2020, from
https://medium.com/@highervista
Smith, C. (2020, July 11). 150 Amazing Amazon Statistics. Retrieved August 28, 2020, from
https://expandedramblings.com/index.php/amazon-statistics/
Spacey, J. (2016, February 4). 7 Examples of Data Proliferation. Retrieved August 28, 2020, from
https://simplicable.com/new/data-proliferation

90
LINKS
Differences between data and information: https://blog.udemy.com/difference-between-data-and-
information/
Database Characteristics and Benefits: https://opentextbc.ca/dbdesign01/chapter/chapter-3-
characteristics-and-benefits-of-a-database/
DBMS Classification: https://opentextbc.ca/dbdesign01/chapter/chapter-6-classification-of-
database-systems/
DBMS Components (2020): http://computer-dbms.blogspot.com/2011/09/components-of-dbms.html
DBMS Functions: http://www.myreadingroom.co.in/notes-and-studymaterial/65-dbms/465-functions-
of-dbms.html
Advantages and Disadvantages of DBMS: http://www.myreadingroom.co.in/notes-and-
studymaterial/65-dbms/462-advantages-and-disadvantages-of-dbms.html

Sq lite module1

Recommandé

Recommandé

Contenu connexe

Tendances

Tendances (20)

Similaire à Sq lite module1

Similaire à Sq lite module1 (20)

Plus de Highervista

Plus de Highervista (12)

Dernier

Dernier (20)

Sq lite module1