This document discusses OLAP (Online Analytical Processing) operations. It defines OLAP as a technology that allows managers and analysts to gain insight from data through fast and interactive access. The document outlines four types of OLAP servers and describes key multidimensional OLAP concepts. It then explains five common OLAP operations: roll-up, drill-down, slice, dice, and pivot.
OLAP performs multidimensional analysis of business data and provides the capability for complex calculations, trend analysis, and sophisticated data modeling.
Data Warehouse : Dimensional Model: Snowflake Schema In the snowflake schema, dimension are present in a normalized from in multiple related tables.
The snowflake structure materialized when the dimensions of a star schema are detailed and highly structured, having several levels of relationship, and the child tables have multiple parent table.
OLAP performs multidimensional analysis of business data and provides the capability for complex calculations, trend analysis, and sophisticated data modeling.
Data Warehouse : Dimensional Model: Snowflake Schema In the snowflake schema, dimension are present in a normalized from in multiple related tables.
The snowflake structure materialized when the dimensions of a star schema are detailed and highly structured, having several levels of relationship, and the child tables have multiple parent table.
For more detail visit : https://techforboost.blogspot.com
https://youtu.be/OcQZVc7pZZA
A multimedia database is a database that include one or more primary media file types such as .txt (documents), .jpg (images), .swf (videos), .mp3 (audio), etc.
For more detail visit : https://techforboost.blogspot.com
https://youtu.be/OcQZVc7pZZA
A multimedia database is a database that include one or more primary media file types such as .txt (documents), .jpg (images), .swf (videos), .mp3 (audio), etc.
Are OLAP cubes "large monters" that deliver quick data retrieval at the expense of long upload time? This presentation shows one way to kill this myth.
OLAP Basics and Fundamentals by Bharat Kalia Bharat Kalia
OLAP is a category of software technology that enables analysts, managers, and executives to gain insight into the data through fast, consistent, interactive, access in a wide variety of possible views of information that has been transformed from raw data to reflect the real dimensionality of the enterprise as understood by the user.
This presentation contains following slides,
Introduction To OLAP
Data Warehousing Architecture
The OLAP Cube
OLTP Vs. OLAP
Types Of OLAP
ROLAP V/s MOLAP
Benefits Of OLAP
Introduction - Apache Kylin
Kylin - Architecture
Kylin - Advantages and Limitations
Introduction - Druid
Druid - Architecture
Druid vs Apache Kylin
References
For any queries
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Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
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Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
1. OLAP Operations
• Name : Kunj Desai
• Enrollment Number : 140950107022
• Branch : CSE – A
• Semester : 7th
• Year : 2017
2. Definition
• Online Analytical Processing Server (OLAP) is based on the
multidimensional data model.
• It allows managers, and analysts to get an insight of the
information through fast, consistent, and interactive access to
information.
• OLAP (Online Analytical Processing) is the technology behind
many Business Intelligence (BI) applications.
• OLAP is a powerful technology for data discovery, including
capabilities for limitless report viewing, complex analytical
calculations, and predictive “what if” scenario (budget,
forecast) planning.
3. Types of OLAP Server
• We have four types of OLAP servers:
1. Relational OLAP (ROLAP)
2. Multidimensional OLAP (MOLAP)
3. Hybrid OLAP (HOLAP)
4. Specialized SQL Servers
4. Multidimensional OLAP
• MOLAP uses array-based multidimensional storage engines
for multidimensional views of data.
• With multidimensional data stores, the storage utilization may
be low if the data set is sparse.
• Therefore, many MOLAP server use two levels of data storage
representation to handle dense and sparse data sets.
• Multidimensional structure is defined as "a variation of the
relational model that uses multidimensional structures to
organize data and express the relationships between data".
• Multidimensional structure is quite popular for analytical
databases that use online analytical processing (OLAP)
applications.
5. OLAP Operations
• Since OLAP servers are based on multidimensional view of
data, we will discuss OLAP operations in multidimensional
data.
• Here is the list of OLAP operations:
1. Roll-up
2. Drill-down
3. Slice and dice
4. Pivot (rotate)
6. 1. Roll - up
• Roll-up performs aggregation on a data cube in any of the
following ways:
1. By climbing up a concept hierarchy for a dimension
2. By dimension reduction
3. Roll-up is performed by climbing up a concept hierarchy for the
dimension location.
4. Initially the concept hierarchy was "street < city < province <
country".
5. On rolling up, the data is aggregated by ascending the location
hierarchy from the level of city to the level of country.
6. The data is grouped into cities rather than countries.
7. When roll-up is performed, one or more dimensions from the
data cube are removed.
8. 2. Drill - Down
• Drill-down is the reverse operation of roll-up. It is performed by
either of the following ways:
1. By stepping down a concept hierarchy for a dimension
2. By introducing a new dimension.
3. Drill-down is performed by stepping down a concept hierarchy
for the dimension time.
4. Initially the concept hierarchy was "day < month < quarter <
year."
5. On drilling down, the time dimension is descended from the
level of quarter to the level of month.
6. When drill-down is performed, one or more dimensions from
the data cube are added.
7. It navigates the data from less detailed data to highly detailed
data.
10. 3. Slice
• The slice operation selects one particular dimension from a
given cube and provides a new sub-cube.
• In the following diagram diagram(Figure 3) Slice is performed
for the dimension "time" using the criterion time = "Q1".
• It will form a new sub-cube by selecting one or more
dimensions.
12. 4. Dice
• Dice selects two or more dimensions from a given cube and
provides a new sub-cube.
• This is shown in the following diagram (Figure 4 ) Dice is
shown .
• The dice operation on the cube based on the following
selection criteria involves three dimensions.
1. (location = "Toronto" or "Vancouver")
2. (time = "Q1" or "Q2")
3. (item =" Mobile" or "Modem")
14. 5. Pivot
• The pivot operation is also known as rotation(Figure 5). It rotates
the data axes in view in order to provide an alternative
presentation of data.
Figure 5: Pivot