This document discusses database systems and business intelligence. It defines a database as an organized collection of data, and a database management system (DBMS) as software for creating, storing, organizing and accessing database data. It notes that without data organization, businesses cannot successfully complete most activities. The document then describes the hierarchy of data from the bit level up to databases. It also defines key database concepts like entities, attributes, and primary keys that uniquely identify records.
Introduction to basic database conceptsUmair Shakir
• Data is raw, unorganized facts that need to be processed.
• Data can be something simple and seemingly random and useless until it is organized.
• When data is processed, organized, structured or presented in a given context so as to make it useful, it is called information.
• Data about Data OR Definition of Data is Metadata
• Database management system (DBMS) is a collection of programs that enables you to store, modify, and extract information from a database.
• There are many different types of database management systems, ranging from small systems that run on personal computers to huge systems that run on mainframes.
• Oracle by Oracle Corporation, MS-Access by Microsoft, My SQL by Oracle Corporation all are DBMS.
• Database Often abbreviated DB, a database is basically a collection of information organized in such a way that a computer program can quickly select desired pieces of data.
• A table is a collection of data organized into columns (fields) and rows (records) and related to other tables by common fields.
• A column/ field contains all the same type of data; each cell refers to a different unit.
• A row/ record contains all the different types of data about a unit of analysis (e.g. user, order, and letter).
• SQL is a standard language for querying and modifying relational databases.
• Oracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is an object-relational database management system produced and marketed by Oracle Corporation.
Introduction to basic database conceptsUmair Shakir
• Data is raw, unorganized facts that need to be processed.
• Data can be something simple and seemingly random and useless until it is organized.
• When data is processed, organized, structured or presented in a given context so as to make it useful, it is called information.
• Data about Data OR Definition of Data is Metadata
• Database management system (DBMS) is a collection of programs that enables you to store, modify, and extract information from a database.
• There are many different types of database management systems, ranging from small systems that run on personal computers to huge systems that run on mainframes.
• Oracle by Oracle Corporation, MS-Access by Microsoft, My SQL by Oracle Corporation all are DBMS.
• Database Often abbreviated DB, a database is basically a collection of information organized in such a way that a computer program can quickly select desired pieces of data.
• A table is a collection of data organized into columns (fields) and rows (records) and related to other tables by common fields.
• A column/ field contains all the same type of data; each cell refers to a different unit.
• A row/ record contains all the different types of data about a unit of analysis (e.g. user, order, and letter).
• SQL is a standard language for querying and modifying relational databases.
• Oracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is an object-relational database management system produced and marketed by Oracle Corporation.
In this you will learn about
1. Definitions
2. Introduction to Data Structures
3. Classification of Data structures
a. Primitive Data structures
i. int
ii. Float
iii. char
iv. Double
b. Non- Primitive Data structures
i. Linear Data structures
1. Arrays
2. Linked Lists
3. Stack
4. Queue
ii. Non Linear Data structures
1. Trees
2. Graphs
A data dictionary is a “virtual database” containing metadata (data about data). Data dictionary holds information about the database and the data that it stores.
Whenever you make a list of anything – list of groceries to buy, books to borrow from the library, list of classmates, list of relatives or friends, list of phone numbers and so o – you are actually creating a database.
An example of a business manual database may consist of written records on a paper and stored in a filing cabinet. The documents usually organized in chronological order, alphabetical order and so on, for easier access, retrieval and use.
Computer database are those data or information stored in the computer. To arrange and organize records, computer databases rely on database software
Microsoft Access is an example of database software.
This is a slide presentation on Database Management System.
Note: All this slide are design by me and licensed under the school I'm currently teaching "Good Shepherd Schools"
An overview of the Database Management System, various uses and applications of database, internal architecture of popular RDBMS servers and thier features
In this you will learn about
1. Definitions
2. Introduction to Data Structures
3. Classification of Data structures
a. Primitive Data structures
i. int
ii. Float
iii. char
iv. Double
b. Non- Primitive Data structures
i. Linear Data structures
1. Arrays
2. Linked Lists
3. Stack
4. Queue
ii. Non Linear Data structures
1. Trees
2. Graphs
A data dictionary is a “virtual database” containing metadata (data about data). Data dictionary holds information about the database and the data that it stores.
Whenever you make a list of anything – list of groceries to buy, books to borrow from the library, list of classmates, list of relatives or friends, list of phone numbers and so o – you are actually creating a database.
An example of a business manual database may consist of written records on a paper and stored in a filing cabinet. The documents usually organized in chronological order, alphabetical order and so on, for easier access, retrieval and use.
Computer database are those data or information stored in the computer. To arrange and organize records, computer databases rely on database software
Microsoft Access is an example of database software.
This is a slide presentation on Database Management System.
Note: All this slide are design by me and licensed under the school I'm currently teaching "Good Shepherd Schools"
An overview of the Database Management System, various uses and applications of database, internal architecture of popular RDBMS servers and thier features
Identify at least five specific categories that each entry in the data.docxmckerliejonelle
Identify at least five specific categories that each entry in the data dictionary should contain. Briefly give the definition of each category. Also, briefly discuss some of the basic differences among data dictionary entries prepared for data stores, data structures, and data elements.
Solution
A Data dictionary is an automatic tool which collects and organizes the detailed information about system components. The data dictionary contains the data definition and its characteristics and entity relationships. Data dictionaries maintain facilities to document data elements, records, programs, systems, files, users, and other system components.
Most data dictionaries are composed of a number of relational database tables, which store the documentation for application systems and their definition components.
Different categories a data dictionary should contain:
Data elements:
Data elements are among most detailed piece of information systems documentation within the dictionary. A data element in Data Dictionary\'s context is a column in a table.
Records:
If the data element is the most detailed documentation item within the dictionary, then the next most detailed items are records (or table rows).
Attributes:
Datasets, tables and elements in Data Dictionary are defined by a set of attributes.
Entities:
Entities are developed as components of data models. Within the data models each entity represents one of the following: a person, a place, a thing, or an event. In case tools developed using CASE tools entities may also represent tables and or files.
Reports:
Reports or forms may be treated in the dictionary either as separate items, records or files depending the approach taken by the Data Administration organization and depending on the capabilities of the dictionary.
Data stores, Data structures, and Data elements:
Data stores:
All the elements must be stored in the system. An inventory of data. The whole of the data in a small system. A database.
Data structures:
Specific arrangements of data attributed (elements) that define the organization of a single instance of a data flow. Data structures belong to a particular data store.
Data Elements :
The descriptive property or characteristic of an entity. In database terms, this is a \"attribute\" or a \"field.\"
Basic Differences:
.
Muhammad sharif Software Engineer, SKMCHRC. This book is copywrite of Muhammad Sharif
This book title: Database Systems handbook. Other Names are DBMS, RDBMS, Database slides and database management systems, relational database management systems
This is final and 4rth edition of this book.
Muhammad sharif Software Engineer, SKMCHRC. This book is copywrite of Muhammad Sharif
This book title: Database Systems handbook. Other Names are DBMS, RDBMS, Database slides and database management systems, relational database management systems
This is final and 4rth edition of this book.
Database systems Handbook 4th dbms and rdbms by Muhammad Sharif
Muhammad sharif Software Engineer, SKMCHRC. This book is copywrite of Muhammad Sharif
This book title: Database Systems handbook. Other Names are DBMS, RDBMS, Database slides and database management systems, relational database management systems
This is final and 4rth edition of this book.
Database systems Handbook 4th dbms and rdbms by Muhammad Sharif
I'm Muhammad Sharif Database administrator and Database system Engineer from SKMCHRC Lahore.
I am good in databases and Research in data science
This book title: database systems handbook was purely written by Muhammad Sharif.
Database systems handbook
#Muhammad Sharif
#Database_systems_handbook
I'm Muhammad Sharif Database administrator and Database system Engineer from SKMCHRC Lahore.
I am good in databases and Research in data science
This book title: database systems handbook was purely written by Muhammad Sharif.
Database systems handbook
#Muhammad Sharif
#Database_systems_handbook
I'm Muhammad Sharif Database administrator and Database system Engineer from SKMCHRC Lahore.
I am good in databases and Research in data science
This book title: database systems handbook was purely written by Muhammad Sharif.
Database systems handbook
#Muhammad Sharif
#Database_systems_handbook
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2. Why Learn About Database Systems
and Business Intelligence?
Database:
Organized collection of data on people, places, or things
Database Management System (DBMS):
Specific type of software for creating, storing, organizing, and
accessing data from a database
Provide an interface between the database and its users and other
application programs
For example: Microsoft Access, Oracle Database, Microsoft SQL Server,
MYSQL
Database Administrator (DBA):
The people responsible for managing databases who sets up and
manages a database
2
3. Data Management
No data and cannot process it:
Could not successfully complete most business activities
Data consists of raw facts
To transform data into useful information:
It must first be organized in a meaningful way
3
4. The Hierarchy of Data
Bit:
Is the smallest unit of data in a computer. A bit has a single
binary value, either 0 or 1
Byte:
A byte is equal to 8 bits
Character:
generally reserved for letters, numbers, and punctuation that
requires one byte of storage
Field (Column of table):
Store data representing an attribute can be name, number, or
combination of characters
4
5. The Hierarchy of Data (Cont.)
Record (row):
A group of fields within a table
File:
A related collection of records
Database:
Collection of data that is organized so that its contents
can easily be accessed, managed, and updated
Hierarchy of data:
Bits, characters, fields, records, files, and databases
5
7. Data Entities, Attributes, and Keys
Entity:
Generalized category representing person, place, thing
on which we store and maintain information
For example: Supplier, Customer, Staff, …. Etc
Attribute:
Specific characteristics of each entity
For example: Supplier (name, address, phone,… etc)
Data Item:
A unit of data (or value) to be processed. Includes
constants, variables, arrays, character substrings, or
records. 7
9. Data Entities, Attributes, and Keys
(Cont.)
Key:
Uniquely identifies each record
Primary key:
One field in each table
Cannot be duplicated
Provides unique identifier for all information in any row
9