Summay-Notes-1- postMidTerm-Chapters-6-9-10-12Chapter 6 Data, Data-Bases, DataWareHousing, DataMining and BI

BusinessIntelligence

2. This chapter discusses the role of databases for managing a firm’s data and providing the information through MIS/DIS and leads to Business Intelligence(BI).

Qn 1: Describe any databases you have encountered or used at work or in their personal use on the Web. For example, Google and Amazon are database driven Web sites, as are travel reservation Web sites, MySpace, Facebook, and, of course, iTunes. Qn 2: Why these sites are driven by databasesQn 3 : What is it about databases that makes the creation and use of these sites more efficient?

7. Problem: -Data fragmented in isolated databases and files -Time-consuming reporting processes -Outdated data management technologyThis slide discusses the problems in data management that occur in a traditional file environment. In a traditional file environment, different functions in the business (accounting, finance, HR, etc.) maintained their own separate files and databases. Qn: Why data redundancy and inconsistency pose problems? What happens when data is redundant or inconsistent. Give an example of program-data dependence. What makes the traditional file environment inflexible?Solution: Replace disparate systems with enterprise system, with centralized mainframe and data management systemIn an age of non-organic corporate growth where companies grow by acquiring other companies, business firms quickly become a collection of hundreds of databases, e-mail systems, personnel systems, accounting systems, and manufacturing systems, none of which can communicate with one another. Even if firms grow organically without acquisitions it is common for separate departments and divisions to have their own systems and databases. Firms in this case suffer the same result: the firm becomes a collection of systems that cannot share information. Qn: What is the solution?This creates a demand for powerful, enterprise-wide or firm-wide databases that can bring order and uniformity, inter-departmental data-sharing, to the chaos.

• Problems with the traditional file environment (files maintained separately by different departments)– Data redundancy:

• Presence of duplicate data in multiple files– Data inconsistency:

• Same attribute has different values– Program-data dependence:

• When changes in program requires changes to data accessed by program– Lack of flexibility, Poor security and Lack of data sharing and availability

5.File organization concepts

– Database: Group of related files– File: Group of records of same type – Record: Group of related fields– Field: Group of characters as word(s) or number

• Describes an entity (person, place, thing on which we store information)

• Attribute: Each characteristic, or quality, describing entity– Example: Attributes DATE or GRADE belong to entity

COURSE This slide describes a hierarchy of data that is used to store information in a database, progressing from the database as the top-level holder of information down through the field, which stores information about an entity’s attribute. This hierarchy is illustrated by the graphic on the next slide. Describe some other entities that might be found in a university database (Student, Professor, etc.). What attributes (characteristics) would be important to store in the database?

6.

This graphic illustrates the hierarchy of data found in a database. It shows the student course file grouped with files on students’ personal histories and financial backgrounds that form the student database.

It illustrates what data is found at each hierarchical level, from the database level down. Making up the smallest information unit, the field, are smaller units of data, common to all applications: bits and bytes. A bit stores a single binary digit, 0 or 1, and a byte stores a group of digits to represent a single character, number, or other symbol

8. This graphic illustrates a traditional environment, in which different business functions maintain separate data and applications to store and access that data. What kinds of data might be shared between accounting/finance and HR. What about between sales and marketing and manufacturing?

9. This slide defines and describes databases and DBMS. Database : Serves many applications by centralizing data and controlling redundant data

Database management system (DBMS) : Interfaces between applications and physical data files

Separates logical and physical views of data

Solves problems of traditional file environment

Controls redundancy

Eliminates inconsistency

Uncouples programs and data

Enables organization to centrally manage data and data security

11 This slide introduces the most common type of DBMS in use with PCs, servers, and mainframes today, the relational database. Why these DBMS are called relational. What RDBMS software are popular today and are used in any known software.

10.

This graphic illustrates what is meant by providing different logical views of data. The orange rectangles represent two different views in an HR database, one for reviewing employee benefits, the other for accessing payroll records. You can think of the green cylinder as the physical view, which shows how the data are actually organized and stored on the physical media. The physical data do not change, but a DBMS can create many different logical views to suit different needs of users.

20: This slide describes activities involved in designing a database. To create an efficient database, you must know what the relationships are among the various data elements, the types of data that will be stored, and how the organization will need to manage the data. Note that the conceptual database design is concerned with how the data elements will be grouped, what data in what tables will make the most efficient organization of data.

Designing Databases

• Relational DBMS– Represent data as two-dimensional tables – Each table contains data on entity and attributes

• Table: grid of columns and rows– Rows (tuples): Records for different entities– Fields (columns): Represents attribute for entity– Key field: Field used to uniquely identify each record

-- Primary key: Field in table used for key fields

-- Foreign key: Primary key used in second table as look-up field to identify records from original table

– Conceptual (logical) design: abstract model from business perspective

– Physical design: How database is arranged on direct-access storage devices

• Design process identifies:

– Relationships among data elements, redundant database elements

– Most efficient way to group data elements to meet business requirements, needs of application programs

• Normalization

– Streamlining complex groupings of data to minimize redundant data elements and awkward many-to-many relationships

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12. Show Example database and SQL querries.

The graphic on this slide illustrates two tables in a relational DBMS.

Qn: What are the entities on this slide and the next are. Qn: The key field in the Supplier table is the Supplier number. What is the purpose of the key field?

QUERY on MySQL data base DISDB1 : CRUD represents an acronym for the database operations Create, Read, Update, and Delete. The communication between two layers could be in the form of ad hocSQL statements such as INSERT, SELECT, UPDATE, and DELETE.

Example of SELECT statement:

select part.Part_Number, part.Part_Name, supplier.Supplier_Number, supplier.Supplier_Name, supplier.Supplier_City from supplier, part where supplier.Supplier_Number = part.Supplier_Number AND part.Part_Number = 137

Slide 14. A relational database organizes data in the form of two-dimensional tables.

Illustrated here are tables for the entities SUPPLIER and PART showing how they represent each entity and its attributes. Supplier Number is a primary key for the SUPPLIER table and a foreign key for the PART table

16. This slide discusses the three main capabilities of a DBMS: its data definition capability, the data dictionary, and a data manipulation language. Qn: What characteristics of data would be stored by a data dictionary (name, description, size, type, format, other properties of a field). For a large company, a data dictionary might also store characteristics such as usage, ownership, authorization, security, users.

Capabilities of database management systems– Data definition capability: Specifies structure of database

content, used to create tables and define characteristics of fields

– Data dictionary: Automated or manual file storing definitions of data elements and their characteristics

– Data manipulation language: Used to add, change, delete, retrieve data from database

• Structured Query Language (SQL)

• MySQL admin for quick SQL querries.

Many DBMS have report generation capabilities for creating polished reports (Crystal Reports

23: This slide continues the discussion about designing databases. One technique database designers use in modeling the structure of the data is to use an entity-relationship diagram (illustrated on the next slide). Symbols on the diagram illustrate the types of relationships between entities. Qn: What different types of relationships are there between entities (one-to-one, one-to-many, many-to-many).

Referential integrity rules

• Used by RDMS to ensure relationships between tables remain consistent

• Entity-relationship diagram

• Used by database designers to document the data model

• Illustrates relationships between entities

– Caution: If a business doesn’t get data model right, system won’t be able to serve business well

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Format of Design of Data base by DIS groups Assignment-2;

for SUBMISSION and PRESENTATION

DT OF SUBMISSION AND PRESENTATION:09-03-2017

1. Name of Information System : Ex: Employee confidential information2. Name of Database or Schema : Ex: EMPCONF3. NAME OF TABLE(S): Ex: EMPCON14. FIELDS IN TABLE(S) EMPCON1

EID INT LENGTH 3 ENAME VARCHAR 100 DEPT VARCHAR 20 SALARY INT 6 RATING DOUBLE

5. E-R DIAGRAM IF MORE TABLES ARE IN D/B 6. WHAT INFORMATION I WANT TO GET OR QUERRIES DO I MAKE ON MY D/B TABLE(S)

select part.Part_Number, part.Part_Name, supplier.Supplier_Number, supplier.Supplier_Name, supplier.Supplier_City from supplier, part where supplier.Supplier_Number = part.Supplier_Number AND part.Part_Number = 137;

select * from part, supplier where supplier.Supplier_Number=part.Supplier_Number order by part.Part_Number;

SELECT COUNT(*)FROM `employee1` WHERE `SALARY` > 2000;

SELECT * FROM `employee1` where `ENAME` LIKE 'A%' ;