The document describes a database project for managing a CD store. The project uses MS SQL to create tables to store data on CDs, customers, employees, and orders. Views, stored procedures, aggregate functions, and joins are implemented to retrieve and analyze the data. Security features like row-level and column-level access controls are also incorporated. The ER diagram and class diagram illustrate the relationships between the tables.
this is my academic project synopsis presentation where i put my best effort to make my project .
i feeling very good to share my experience on slide share.
Implemented Data warehouse on “Retail Stores of five states of USA” by using 3 different data sources including structured and unstructured using SSIS, SSAS and Power BI.
MSBI online training offered by Quontra Solutions with special features having Extensive Training will be in both MSBI Online Training and Placement. We help you in resume preparation and conducting Mock Interviews.
Emphasis is given on important topics that were required and mostly used in real time projects. Quontra Solutions is an Online Training Leader when it comes to high-end effective and efficient IT Training. We have always been and still are focusing on the key aspect which is providing utmost effective and competent training to both students and professionals who are eager to enrich their technical skills.
this is my academic project synopsis presentation where i put my best effort to make my project .
i feeling very good to share my experience on slide share.
Implemented Data warehouse on “Retail Stores of five states of USA” by using 3 different data sources including structured and unstructured using SSIS, SSAS and Power BI.
MSBI online training offered by Quontra Solutions with special features having Extensive Training will be in both MSBI Online Training and Placement. We help you in resume preparation and conducting Mock Interviews.
Emphasis is given on important topics that were required and mostly used in real time projects. Quontra Solutions is an Online Training Leader when it comes to high-end effective and efficient IT Training. We have always been and still are focusing on the key aspect which is providing utmost effective and competent training to both students and professionals who are eager to enrich their technical skills.
Business Intelligence and Analytics Services Thinklayer
Thinklayer provides Business Intelligence and Analytics services with 40+ years experience. We have served clients across the globe and worked in Travel, Retail, Supply Chain and many more.
How to Realize an Additional 270% ROI on SnowflakeAtScale
Companies of all sizes have embraced the power, scale and ease of use of Snowflake’s cloud data platform, along with the promise of cost-savings. But if you aren’t careful, cloud compute usage can sneak up on you and leave you with runaway costs no matter what BI tool you are using.
The presentation from experts from Rakuten Rewards and AtScale shows practical techniques on how you can reduce unnecessary compute and boost BI performance to realize an additional 270% ROI on Snowflake. For the on-demand webinar, go to: https://www.atscale.com/resource/wbr-cloud-compute-cost-snowflake-tableau/
From our experience, performance is the most critical issue in SAP BW. Thus, those are answered with new technologies such as BWA or SAP HANA. Right data management enables you to bring your BW to the top form even before you decide to invest in new technologies, especially with nearline storage and housekeeping.
Cloud MigrationNTC30205122020Running head CLOU.docxmary772
Cloud Migration
NTC/302
05/12/2020
Running head: CLOUD MIGRATION
1
CLOUD MIGRATION
4
Cloud Migration
Moving to the Cloud can be a scary endeavor but with current technology and advancements, it is a business no-brainer. With the state of the business where it is, this move will ensure that we are setup for success now and will have a good foothold for future advancements. Let’s talk about some of the requirements and why this move will be the best thing for the company.
Cost
The principal profit, and maybe most paramount in the personalities of numerous entrepreneurs, is its cost advantage. Cloud storage is by and large more reasonable because suppliers appropriate the expenses of their framework and administrations crosswise over numerous organizations. The expense of hardware and maintenance are disposed of when it moves to the cloud. Evacuating these capital uses and the related administration pay rates from the engineering cost can decipher into noteworthy expense investment funds.
Costs.
Database 1
Hourly ($0.136)
3 Year cost ($7168)
Database 2
Hourly ($0.136)
3 Year cost ($7168)
Storage (10TB)
Monthly ($230 + Initial Fees)
3 Year cost ($9316.45)
Total
Monthly ($327.90
3 Year cost ($23652.45)
Security and Reliability
As opposed to having hardware inside the office, cloud storage is housed in a server farm, giving excellent security. Additionally, in the cloud, information is moved down to numerous servers, so if one server crashes, the information is protected and is put away in different areas. The potential hardware breakdown danger gets to be insignificant when information is securely put away in excess areas.
A drawback of the cloud is that if your internet connection is down, you will lose access to the cloud service. A healthy alternative that can satisfy this is to use on-site servers instead. On-site or local servers are easily and readily accessible and can be quickly backed- up to a networked device. They're typically more secure too, as everything is managed from one location.
Preliminary Plan
We could start with getting server equipment for the main office and migrating data to the new servers. A maintenance plan for security and upkeep of the servers can be put in place as well. Then we can start to get hosting for our data over the cloud. Access can be setup so that certain levels and certain personnel can continue to be productive in a mobile nature.
All in all, moving to the cloud is a great idea for future growth. The cost is minimal and a lot of features are one time purchases that ensure future success. All the concerns of the company and be met so that data loss can be minimal or non existent. This move will create a surge in productivity by effectively using technology.
AWS (high-level diagram).
References
Hu, W., Si, J., & Li, H. (2018). Security-Reliability Tradeoff Analysis in Multisour.
1) 500 words or less, differentiate a Databases Management Systems.pdfmanjan6
1) 500 words or less, differentiate : a Databases Management Systems b. Data Warehousing c.
Business Intelligence d. Data Mining
Solution
DataBase Management:
A Data Base Management System is a technology to store our data with in a System.and also to
update modify and do certain manuplation to our data and also proivde security to our
information.
before we dont have these data base management system.if we want to retrive data from system
or if we want to perfome any manuplations we need to know the file type of particular file
system and we write a program.
and that particular program is not used for other file types.
so it causes data dependenciey.
in order to overcome these problems a database management system.lies between os and file
sytem.which retrives data and gives to user if we dirctly qury to it.
ealrier different data models have been developed:
1.Hyrarichal model
2.Network model
3.Relational model
Hyraichal model:in hirearical model it follows tree structure.
so we need to know trees to use it
Network model:network model is based on graphs.we need know graps on our finger tips.
Relational model
everything is in the form of tables ..
DataWarehouse:
DataWarehouse is a collection of data from different sources and integrated..for example
different data from different relational databases are integrated and used for analysis and making
decisons on it.
A data warehouse provides us data to be view in multidimensional way. along with general view
of data it also provides an olap tool. this toool is used for analysis of data in multidimension
manner.
datawarehouse is used in many areas:
Tuning productions statagies.
customer analysis
operational analysis
Data Mining:
Data Mining is extracting useful or required information from large data or large data sets .for
example a large data set of employees is taken and some algoithms applied on it to retrive data
from it.
the best part of it is not only it retrives data .it performs various operation
all the operations comes under kdd ..
kdd stands for knowledge discovry from data.
various steps are:
data cleaning.
integration
transformation
data maining
pattern evolutionn
data presenting
among them data mining is the import task in that.
data cleaning and integration and transformation comes as pre data mining steps and rest all
comes under post data mining steps.
Bussiness Intelligent:
Bussiness intelligent is a tool is used for analysis of data or information to provide benifits to
organizations.
busiiness intelligent consists of many tools for analysis of data like data with in organization and
outside the organizations.
this tools is used and provides many benifits like to make good decision making and
understanding and various other factors..
The data that your business collects is constantly growing, making it increasingly difficult for traditional systems to keep up with resource demands. Understanding your big data can help you serve your customers better, improve product quality, and grow your revenue, but you need a platform that can handle the strain.
In hands-on tests in our datacenter, the Scalable Modular Server DX2000 from NEC processed big data quickly and scaled nearly linearly as we added server nodes. In our k-means data cluster analysis test, a DX2000 solution running Apache Spark and Red Hat Enterprise Linux OpenStack Platform processed 100GB in approximately 2 minutes. We also saw that as we doubled the number of server nodes, the DX2000 solution cut analysis time in half when processing the same amount of data, producing excellent scalability.
The Scalable Modular Server DX2000 by NEC is a good choice when you’re ready to put big data to work for you.
Business Intelligence and Analytics Services Thinklayer
Thinklayer provides Business Intelligence and Analytics services with 40+ years experience. We have served clients across the globe and worked in Travel, Retail, Supply Chain and many more.
How to Realize an Additional 270% ROI on SnowflakeAtScale
Companies of all sizes have embraced the power, scale and ease of use of Snowflake’s cloud data platform, along with the promise of cost-savings. But if you aren’t careful, cloud compute usage can sneak up on you and leave you with runaway costs no matter what BI tool you are using.
The presentation from experts from Rakuten Rewards and AtScale shows practical techniques on how you can reduce unnecessary compute and boost BI performance to realize an additional 270% ROI on Snowflake. For the on-demand webinar, go to: https://www.atscale.com/resource/wbr-cloud-compute-cost-snowflake-tableau/
From our experience, performance is the most critical issue in SAP BW. Thus, those are answered with new technologies such as BWA or SAP HANA. Right data management enables you to bring your BW to the top form even before you decide to invest in new technologies, especially with nearline storage and housekeeping.
Cloud MigrationNTC30205122020Running head CLOU.docxmary772
Cloud Migration
NTC/302
05/12/2020
Running head: CLOUD MIGRATION
1
CLOUD MIGRATION
4
Cloud Migration
Moving to the Cloud can be a scary endeavor but with current technology and advancements, it is a business no-brainer. With the state of the business where it is, this move will ensure that we are setup for success now and will have a good foothold for future advancements. Let’s talk about some of the requirements and why this move will be the best thing for the company.
Cost
The principal profit, and maybe most paramount in the personalities of numerous entrepreneurs, is its cost advantage. Cloud storage is by and large more reasonable because suppliers appropriate the expenses of their framework and administrations crosswise over numerous organizations. The expense of hardware and maintenance are disposed of when it moves to the cloud. Evacuating these capital uses and the related administration pay rates from the engineering cost can decipher into noteworthy expense investment funds.
Costs.
Database 1
Hourly ($0.136)
3 Year cost ($7168)
Database 2
Hourly ($0.136)
3 Year cost ($7168)
Storage (10TB)
Monthly ($230 + Initial Fees)
3 Year cost ($9316.45)
Total
Monthly ($327.90
3 Year cost ($23652.45)
Security and Reliability
As opposed to having hardware inside the office, cloud storage is housed in a server farm, giving excellent security. Additionally, in the cloud, information is moved down to numerous servers, so if one server crashes, the information is protected and is put away in different areas. The potential hardware breakdown danger gets to be insignificant when information is securely put away in excess areas.
A drawback of the cloud is that if your internet connection is down, you will lose access to the cloud service. A healthy alternative that can satisfy this is to use on-site servers instead. On-site or local servers are easily and readily accessible and can be quickly backed- up to a networked device. They're typically more secure too, as everything is managed from one location.
Preliminary Plan
We could start with getting server equipment for the main office and migrating data to the new servers. A maintenance plan for security and upkeep of the servers can be put in place as well. Then we can start to get hosting for our data over the cloud. Access can be setup so that certain levels and certain personnel can continue to be productive in a mobile nature.
All in all, moving to the cloud is a great idea for future growth. The cost is minimal and a lot of features are one time purchases that ensure future success. All the concerns of the company and be met so that data loss can be minimal or non existent. This move will create a surge in productivity by effectively using technology.
AWS (high-level diagram).
References
Hu, W., Si, J., & Li, H. (2018). Security-Reliability Tradeoff Analysis in Multisour.
1) 500 words or less, differentiate a Databases Management Systems.pdfmanjan6
1) 500 words or less, differentiate : a Databases Management Systems b. Data Warehousing c.
Business Intelligence d. Data Mining
Solution
DataBase Management:
A Data Base Management System is a technology to store our data with in a System.and also to
update modify and do certain manuplation to our data and also proivde security to our
information.
before we dont have these data base management system.if we want to retrive data from system
or if we want to perfome any manuplations we need to know the file type of particular file
system and we write a program.
and that particular program is not used for other file types.
so it causes data dependenciey.
in order to overcome these problems a database management system.lies between os and file
sytem.which retrives data and gives to user if we dirctly qury to it.
ealrier different data models have been developed:
1.Hyrarichal model
2.Network model
3.Relational model
Hyraichal model:in hirearical model it follows tree structure.
so we need to know trees to use it
Network model:network model is based on graphs.we need know graps on our finger tips.
Relational model
everything is in the form of tables ..
DataWarehouse:
DataWarehouse is a collection of data from different sources and integrated..for example
different data from different relational databases are integrated and used for analysis and making
decisons on it.
A data warehouse provides us data to be view in multidimensional way. along with general view
of data it also provides an olap tool. this toool is used for analysis of data in multidimension
manner.
datawarehouse is used in many areas:
Tuning productions statagies.
customer analysis
operational analysis
Data Mining:
Data Mining is extracting useful or required information from large data or large data sets .for
example a large data set of employees is taken and some algoithms applied on it to retrive data
from it.
the best part of it is not only it retrives data .it performs various operation
all the operations comes under kdd ..
kdd stands for knowledge discovry from data.
various steps are:
data cleaning.
integration
transformation
data maining
pattern evolutionn
data presenting
among them data mining is the import task in that.
data cleaning and integration and transformation comes as pre data mining steps and rest all
comes under post data mining steps.
Bussiness Intelligent:
Bussiness intelligent is a tool is used for analysis of data or information to provide benifits to
organizations.
busiiness intelligent consists of many tools for analysis of data like data with in organization and
outside the organizations.
this tools is used and provides many benifits like to make good decision making and
understanding and various other factors..
The data that your business collects is constantly growing, making it increasingly difficult for traditional systems to keep up with resource demands. Understanding your big data can help you serve your customers better, improve product quality, and grow your revenue, but you need a platform that can handle the strain.
In hands-on tests in our datacenter, the Scalable Modular Server DX2000 from NEC processed big data quickly and scaled nearly linearly as we added server nodes. In our k-means data cluster analysis test, a DX2000 solution running Apache Spark and Red Hat Enterprise Linux OpenStack Platform processed 100GB in approximately 2 minutes. We also saw that as we doubled the number of server nodes, the DX2000 solution cut analysis time in half when processing the same amount of data, producing excellent scalability.
The Scalable Modular Server DX2000 by NEC is a good choice when you’re ready to put big data to work for you.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
2. Introduction to CD store
A CD management store is a retail establishment that specializes in
selling and managing compact discs (CDs). These stores typically
offer a wide selection of music, movies, and other media on CD
format. The staff at these stores may provide recommendations,
help customers find specific titles, and offer information on new
releases. CD management stores may also offer services such as CD
repair, cleaning, and trade-ins. In recent years, many CD
management stores have expanded their offerings to include vinyl
records, DVDs, and Blu-rays.
3. Why we choose MS SQL
Storing data in MS SQL for a CD store management system can offer several benefits,
including:
1. Relational database management: MS SQL is a powerful relational database management
system, which means it can efficiently manage large volumes of data and ensure data
consistency and accuracy.
2. Scalability: MS SQL can handle large amounts of data and can scale easily as the CD store
grows, making it a suitable choice for businesses that expect to expand their operations over
time.
3. Security: MS SQL provides robust security features, including role-based access control, data
encryption, and auditing, to protect sensitive data from unauthorized access and ensure
compliance with data protection regulations.
4. Data analysis and reporting: MS SQL has powerful data analysis and reporting capabilities,
allowing CD store owners to gain insights into customer behavior, sales trends, and inventory
management, among other things.
4. Abstract of the project
We created a database program that manage CD store.
Management include storing record of CD’s
customer, employees.
It also store the data of hourly based employees.
We have ensure column level security and row level
security in our project.
It also perform some mathematical calculation like avg
salary of employee's etc. using aggregate function.
5. Conti:
We will retrieve specific record from our database using
joins, stored procedure etc.
6. Operation to create CD-store management
Tables
Inserting data into these tables.
Retrieval of data with the help different queries(on
demand/request).
Constraints
View
Stored procedure
Aggregate function
Joins etc.
8. Tables/Relation
To store Record.
Different tables in our Program
CD: store detail of cd which are common among all type of cd.
Movie_CD:Store additional detail of movie cd’s.
Game_CD:Store additional detail of movie cd’s.
Customer: To store customer detail.
Order CD: To store order detail.
Employees: Store Employees detail of the store.
Employees Hours: store detail of hourly based employee's (extra
time)
10. Relation ship:
CD to Movie_CD: Cd table contain primary key and Movie_CD
contain foreign key.
CD to Game_cd: Cd table contain primary key and Movie_CD
contain foreign key.
Customer to order CD: customer table contain primary key and
order CD contain foreign key.
Employees to Employees hours: Employees table contain primary
key and Employees hours contain foreign key.
11. View:
Virtual table to store specific information
Different views in our program
Cd_price:It stores the information of those cd whose price
is greater than 7.It also ensure row level security in our
program.
Employee detail: It stores the all information of employees
excluding salary (ensure column level security).
Select_ Employee: it stores all information of employees
whose employe id is greater than 20002
12. Conti:
Selected Employee for salary: stores information all
employees whose salary is greater than 60000.
Customer detail: It stores all information of customer
excluding phone number.
Extra hour: store all information of hourly based
employees whose overtime hour is greater than 5.
13. Stored procedure:
Set of quires that can be executed when we need(reuse it).
Different stored procedure in our program.
Employee detail in the store.
Employee detail according to salary.
Cd detail according to artist.
Order detail.
Developer of the game_cd.
14. Aggregate Function
Takes multiple values as input and return a single value as output.
Different aggregate function in our program.
total_quantity_of_order_CD: uses sum function to calculate total number of
CD in the store.
average_price_of_CD: use avg function to calculate average selling price of
Cd.
maximum_Salary_of_Employe: use max function to calculate minimum
salary of an employee.
minimum_Salary_of_Employe:use min function to calculate minimum salary
of an employee.
15. Joins
Use to retrieve combine data from different tables.
Different joins in our program
Inner join:Retrive common data from CD and movie cd.
Left join:Retrive all data from cd table and common data
with movie CD.
Full outer join: Retrieve all data from cd and movie cd