A data warehouse is constructed by integrating data from multiple heterogeneous sources. It supports analytical reporting, structured and/or ad hoc queries and decision making.
The document discusses the foundation of business intelligence and how it uses databases to improve business performance and decision making. It describes how a database organizes data in a hierarchy and defines key concepts like fields, records, files and databases. It also explains how business intelligence tools like data warehousing, data mining and reporting can help analyze large quantities of data from multiple systems to support decision making.
This document provides an overview of big data analytics architectures and opportunities. It describes the emerging architectures which utilize front-end, back-end, and cross-architecture components. The back-end components include high-performance hardware like clusters and large memory units, and high-performance databases. The front-end components include tools for data exploration, preparation, modeling, and workflows. The cross-architecture component is in-database analytics. These architectures facilitate analyzing large and complex volumes of various data types quickly. The document also mentions opportunities for big data in different industries but does not provide details.
A data warehouse is a pool of data structured to support decision making. It integrates data from multiple sources and is time-variant and nonvolatile. Data warehouses can take the form of enterprise data warehouses, used across an organization for decision support, or data marts designed for a specific department. The data warehousing process involves extracting data from sources, transforming and loading it into a comprehensive database, and using middleware tools and metadata. Real-time data warehousing allows for information-based decision making using up-to-date data.
This document discusses data warehousing and business intelligence. It defines data warehousing as a collection of integrated, non-volatile data used to support decision making. Extract, transform, load (ETL) tools are used to move data from source systems to the data warehouse. Online analytical processing (OLAP) provides summarized data and calculations to answer questions about historical trends. Data mining discovers hidden patterns in detailed data to predict future outcomes. Examples are given of how companies like Walmart use these techniques to gain insights from their large volumes of sales data.
Data mining 3 - Data Models and Data Warehouse Design (cheat sheet - printable)yesheeka
Here are the steps to solve this homework problem:
1. Draw the snowflake schema diagram with dimensions for students, modules, semesters, and lecturers connected to fact tables with measures of count and avg_grade.
2. To list the average grade of CS modules for each student, perform the following OLAP operations on the base cuboid:
- Roll-up the semester dimension to the year level
- Roll-up the module dimension to the CS level
This would aggregate the avg_grade measure to the student-year-CS level.
3. If each dimension has 5 levels, including an overall "all" level, and there are 4 dimensions, then by the power set formula,
This document provides an introduction to data warehouses. It defines a data warehouse as a subject-oriented, integrated, time-variant and non-volatile collection of data to support management decision making. The key features of a data warehouse are that it is subject-oriented, integrated, time variant and non-volatile. It also distinguishes between operational databases used for transaction processing and data warehouses used for analytical processing and decision making.
The document discusses the foundation of business intelligence and how it uses databases to improve business performance and decision making. It describes how a database organizes data in a hierarchy and defines key concepts like fields, records, files and databases. It also explains how business intelligence tools like data warehousing, data mining and reporting can help analyze large quantities of data from multiple systems to support decision making.
This document provides an overview of big data analytics architectures and opportunities. It describes the emerging architectures which utilize front-end, back-end, and cross-architecture components. The back-end components include high-performance hardware like clusters and large memory units, and high-performance databases. The front-end components include tools for data exploration, preparation, modeling, and workflows. The cross-architecture component is in-database analytics. These architectures facilitate analyzing large and complex volumes of various data types quickly. The document also mentions opportunities for big data in different industries but does not provide details.
A data warehouse is a pool of data structured to support decision making. It integrates data from multiple sources and is time-variant and nonvolatile. Data warehouses can take the form of enterprise data warehouses, used across an organization for decision support, or data marts designed for a specific department. The data warehousing process involves extracting data from sources, transforming and loading it into a comprehensive database, and using middleware tools and metadata. Real-time data warehousing allows for information-based decision making using up-to-date data.
This document discusses data warehousing and business intelligence. It defines data warehousing as a collection of integrated, non-volatile data used to support decision making. Extract, transform, load (ETL) tools are used to move data from source systems to the data warehouse. Online analytical processing (OLAP) provides summarized data and calculations to answer questions about historical trends. Data mining discovers hidden patterns in detailed data to predict future outcomes. Examples are given of how companies like Walmart use these techniques to gain insights from their large volumes of sales data.
Data mining 3 - Data Models and Data Warehouse Design (cheat sheet - printable)yesheeka
Here are the steps to solve this homework problem:
1. Draw the snowflake schema diagram with dimensions for students, modules, semesters, and lecturers connected to fact tables with measures of count and avg_grade.
2. To list the average grade of CS modules for each student, perform the following OLAP operations on the base cuboid:
- Roll-up the semester dimension to the year level
- Roll-up the module dimension to the CS level
This would aggregate the avg_grade measure to the student-year-CS level.
3. If each dimension has 5 levels, including an overall "all" level, and there are 4 dimensions, then by the power set formula,
This document provides an introduction to data warehouses. It defines a data warehouse as a subject-oriented, integrated, time-variant and non-volatile collection of data to support management decision making. The key features of a data warehouse are that it is subject-oriented, integrated, time variant and non-volatile. It also distinguishes between operational databases used for transaction processing and data warehouses used for analytical processing and decision making.
This presentation discusses database security. It begins by defining data and databases, and explaining why databases are needed. It then outlines different types of databases and provides examples. The presentation describes what database security entails and its goal to protect data and systems from unauthorized access and corruption. Finally, it details various database security measures that can be implemented, including separating servers, encrypting data, using strong authentication, monitoring privileges, and conducting security tests.
UNIT 2 DATA WAREHOUSING AND DATA MINING PRESENTATION.pptxshruthisweety4
The document discusses data warehousing and data warehouse architectures. It defines a data warehouse as a system that aggregates data from different sources into a consistent data store to support analysis and machine learning on huge volumes of historical data. It describes three common types of data warehouses and characteristics like being subject-oriented, integrated, and time-variant. It then outlines common data warehouse architectures including single tier, two tier, and three tier architectures and discusses components like the source layer, data staging, data warehouse layer, and analysis layer. Finally, it discusses properties of data warehouse architectures like separation of analytical and transactional processing and scalability.
This document discusses information storage and management. It provides an overview of key topics including the evolution of storage architecture, data center infrastructure, and virtualization and cloud computing. Specifically, it outlines the core elements of a data center including applications, databases, servers, networks, and storage arrays. It also describes how these elements work together in an example order processing system. The document emphasizes that uninterrupted operation and high availability of data are critical requirements for data center infrastructure.
The document discusses two-tier and three-tier architectures. The two-tier architecture consists of a client tier and data tier with direct communication between them. It runs faster but has issues handling multiple requests. The three-tier architecture adds a business logic tier between the client and data tiers. This improves scalability, performance, flexibility, re-use, data integrity, and security compared to two-tier. However, it increases complexity.
Data Warehouse Architecture: All You Need To KnowQuell Soft
A data warehouse services is a centralized repository of integrated data from various sources. A data warehouse enables you to store, access, and analyze large amounts of historical and current data, and generate insights that can help you make better business decisions.
Here are the key points of a collapsed multitier design:
- All server farms are directly connected without physical separation between Layer 2 switches. This reduces hardware costs.
- Services like load balancing, firewalling, etc. are concentrated at the aggregation layer rather than being distributed between tiers.
- Less hardware is required compared to an expanded design as there is no need for separate switches and devices at each tier.
- However, it provides less control and scalability compared to an expanded design as tiers are not physically isolated. For example, if one tier needs to be scaled out, it affects the other tiers.
- Security may also be weaker as there is no firewall segmentation between tiers.
The document provides an introduction to database management systems (DBMS). It discusses what a database is and the key components of a DBMS, including data, information, and the database management system itself. It also summarizes common database types and characteristics, as well as the purpose and advantages of using a database system compared to traditional file processing.
This document provides an overview of data management and IT infrastructure. It discusses data versus information, basic concepts of data, databases, and database management systems. It covers database models including hierarchical, network, relational, and object-oriented. It also discusses database applications, benefits of a database approach, centralized versus distributed databases, relational databases, data warehouses, and data mining. Finally, it provides an introduction to IT infrastructure and discusses the evolution of IT infrastructure from the 1950s to present.
2-Tier and 3-Tier Architecture of Enterprise Resource PlanningS M Qamar Abbas
This document compares 2-tier and 3-tier architecture. 2-tier architecture has a presentation layer on the client and data stored on a server, providing direct communication between the two. 3-tier architecture adds an application layer between the client and database server to process requests and business logic before communicating with the other layers. The 3-tier model is more popular as it provides benefits like improved performance, security, and scalability compared to the 2-tier architecture.
This document provides an overview of data warehousing and related concepts. It defines a data warehouse as a centralized database for analysis and reporting that stores current and historical data from multiple sources. The document describes key elements of data warehousing including Extract-Transform-Load (ETL) processes, multidimensional data models, online analytical processing (OLAP), and data marts. It also outlines advantages such as enhanced access and consistency, and disadvantages like time required for data extraction and loading.
This document provides an overview of information management and database concepts. It discusses the history of databases from paper-based data storage to modern computerized databases. It also describes key database concepts like database systems, database models, data independence, database languages, and database architecture. The three-tier architecture is highlighted as the most popular client-server model. Database structure is defined including the table, record, field levels. Data abstraction, schemas, and instances are also summarized.
Client/Server Architecture By Faisal Shahzad Faisal Shehzad
The document discusses client-server architectures. It describes the fat server model, which places more functions on the server, and the fat client model, which places more functions on the client but stores data on the server. It then explains the key aspects of two-tier and three-tier client-server architectures. The two-tier architecture involves clients communicating directly with servers, while the three-tier architecture introduces a middle tier between clients and servers to improve performance, scalability, and other advantages.
Introduction and Basics to web technology .pptxLEENASAHU42
Introduction: Web system architecture- 1,2,3 and n tier
architecture, URL, domain name system, overview of
HTTP , Web Site Design Issues and Introduction to role of
SEO (Search Engine Optimization) on web page
development.
This document provides an introduction to database management systems (DBMS). It discusses the key components and advantages of a DBMS, including storing and retrieving data, centralized access, data security, and automated backups. It also compares DBMS to file systems, highlighting how DBMS offers greater data consistency, security, and crash recovery capabilities. Finally, it outlines the three schema architecture used to separate the conceptual, internal, and external views of a database.
Information Storage and Management notes ssmeena ssmeena7
This document provides an introduction to information storage and management. It discusses why information storage has become important in the digital age, with data being created at an ever-increasing rate. It defines what data and information are, and describes how individuals and businesses collect and analyze data. It also outlines the key elements of data centers, including applications, databases, servers, networks, and storage arrays. Finally, it discusses challenges in managing information and the concept of information lifecycles over time.
Attributes are properties or characteristics that describe entities. In the EMPLOYEE entity example, attributes could include:
- Employee ID
- Name
- Date of birth
- Address
- Salary
These attributes describe and provide information about each employee entity instance. Attributes help define and differentiate entity instances from each other.
The document discusses different architectures for client/server systems. A client/server architecture separates computers into clients and servers, with servers providing resources like files, printers or network traffic. A two-tier architecture has clients communicating with a database server, while a three-tier architecture separates the user interface, application logic and data storage into distinct tiers or layers.
This presentation discusses database security. It begins by defining data and databases, and explaining why databases are needed. It then outlines different types of databases and provides examples. The presentation describes what database security entails and its goal to protect data and systems from unauthorized access and corruption. Finally, it details various database security measures that can be implemented, including separating servers, encrypting data, using strong authentication, monitoring privileges, and conducting security tests.
UNIT 2 DATA WAREHOUSING AND DATA MINING PRESENTATION.pptxshruthisweety4
The document discusses data warehousing and data warehouse architectures. It defines a data warehouse as a system that aggregates data from different sources into a consistent data store to support analysis and machine learning on huge volumes of historical data. It describes three common types of data warehouses and characteristics like being subject-oriented, integrated, and time-variant. It then outlines common data warehouse architectures including single tier, two tier, and three tier architectures and discusses components like the source layer, data staging, data warehouse layer, and analysis layer. Finally, it discusses properties of data warehouse architectures like separation of analytical and transactional processing and scalability.
This document discusses information storage and management. It provides an overview of key topics including the evolution of storage architecture, data center infrastructure, and virtualization and cloud computing. Specifically, it outlines the core elements of a data center including applications, databases, servers, networks, and storage arrays. It also describes how these elements work together in an example order processing system. The document emphasizes that uninterrupted operation and high availability of data are critical requirements for data center infrastructure.
The document discusses two-tier and three-tier architectures. The two-tier architecture consists of a client tier and data tier with direct communication between them. It runs faster but has issues handling multiple requests. The three-tier architecture adds a business logic tier between the client and data tiers. This improves scalability, performance, flexibility, re-use, data integrity, and security compared to two-tier. However, it increases complexity.
Data Warehouse Architecture: All You Need To KnowQuell Soft
A data warehouse services is a centralized repository of integrated data from various sources. A data warehouse enables you to store, access, and analyze large amounts of historical and current data, and generate insights that can help you make better business decisions.
Here are the key points of a collapsed multitier design:
- All server farms are directly connected without physical separation between Layer 2 switches. This reduces hardware costs.
- Services like load balancing, firewalling, etc. are concentrated at the aggregation layer rather than being distributed between tiers.
- Less hardware is required compared to an expanded design as there is no need for separate switches and devices at each tier.
- However, it provides less control and scalability compared to an expanded design as tiers are not physically isolated. For example, if one tier needs to be scaled out, it affects the other tiers.
- Security may also be weaker as there is no firewall segmentation between tiers.
The document provides an introduction to database management systems (DBMS). It discusses what a database is and the key components of a DBMS, including data, information, and the database management system itself. It also summarizes common database types and characteristics, as well as the purpose and advantages of using a database system compared to traditional file processing.
This document provides an overview of data management and IT infrastructure. It discusses data versus information, basic concepts of data, databases, and database management systems. It covers database models including hierarchical, network, relational, and object-oriented. It also discusses database applications, benefits of a database approach, centralized versus distributed databases, relational databases, data warehouses, and data mining. Finally, it provides an introduction to IT infrastructure and discusses the evolution of IT infrastructure from the 1950s to present.
2-Tier and 3-Tier Architecture of Enterprise Resource PlanningS M Qamar Abbas
This document compares 2-tier and 3-tier architecture. 2-tier architecture has a presentation layer on the client and data stored on a server, providing direct communication between the two. 3-tier architecture adds an application layer between the client and database server to process requests and business logic before communicating with the other layers. The 3-tier model is more popular as it provides benefits like improved performance, security, and scalability compared to the 2-tier architecture.
This document provides an overview of data warehousing and related concepts. It defines a data warehouse as a centralized database for analysis and reporting that stores current and historical data from multiple sources. The document describes key elements of data warehousing including Extract-Transform-Load (ETL) processes, multidimensional data models, online analytical processing (OLAP), and data marts. It also outlines advantages such as enhanced access and consistency, and disadvantages like time required for data extraction and loading.
This document provides an overview of information management and database concepts. It discusses the history of databases from paper-based data storage to modern computerized databases. It also describes key database concepts like database systems, database models, data independence, database languages, and database architecture. The three-tier architecture is highlighted as the most popular client-server model. Database structure is defined including the table, record, field levels. Data abstraction, schemas, and instances are also summarized.
Client/Server Architecture By Faisal Shahzad Faisal Shehzad
The document discusses client-server architectures. It describes the fat server model, which places more functions on the server, and the fat client model, which places more functions on the client but stores data on the server. It then explains the key aspects of two-tier and three-tier client-server architectures. The two-tier architecture involves clients communicating directly with servers, while the three-tier architecture introduces a middle tier between clients and servers to improve performance, scalability, and other advantages.
Introduction and Basics to web technology .pptxLEENASAHU42
Introduction: Web system architecture- 1,2,3 and n tier
architecture, URL, domain name system, overview of
HTTP , Web Site Design Issues and Introduction to role of
SEO (Search Engine Optimization) on web page
development.
This document provides an introduction to database management systems (DBMS). It discusses the key components and advantages of a DBMS, including storing and retrieving data, centralized access, data security, and automated backups. It also compares DBMS to file systems, highlighting how DBMS offers greater data consistency, security, and crash recovery capabilities. Finally, it outlines the three schema architecture used to separate the conceptual, internal, and external views of a database.
Information Storage and Management notes ssmeena ssmeena7
This document provides an introduction to information storage and management. It discusses why information storage has become important in the digital age, with data being created at an ever-increasing rate. It defines what data and information are, and describes how individuals and businesses collect and analyze data. It also outlines the key elements of data centers, including applications, databases, servers, networks, and storage arrays. Finally, it discusses challenges in managing information and the concept of information lifecycles over time.
Attributes are properties or characteristics that describe entities. In the EMPLOYEE entity example, attributes could include:
- Employee ID
- Name
- Date of birth
- Address
- Salary
These attributes describe and provide information about each employee entity instance. Attributes help define and differentiate entity instances from each other.
The document discusses different architectures for client/server systems. A client/server architecture separates computers into clients and servers, with servers providing resources like files, printers or network traffic. A two-tier architecture has clients communicating with a database server, while a three-tier architecture separates the user interface, application logic and data storage into distinct tiers or layers.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
2. DATA WAREHOUSE
• Data Warehouse also known as Enterprise
Data Warehouse (EDW) is a system used for
reporting and data analysis.
• They store current and historical data.
3. The data warehouse architecture has many types.
Single Tier
Two Tier
Three Tier
Multi Tier
ARCHITECTURE…..
4. SINGLE-TIER ARCHITECTURE
Processing of data takes
place in the main frame
only.
Various devices are
connected to it just for
the purpose of display.
They access data through
dumb terminals.
5. TWO-TIER ARCHITECTURE
• It is a client-Server
Architecture.
• There is a direct
communication
between the client
and the server.
• They are tightly
coupled and thus 2-
tier application is
faster.
6. THREE-TIER ARCHITECTURE
• The Client layer is used for the
design purpose.
Ex. Designing a form with
text, label etc.
• The Business layer is the
interface between the Client and
the Data Access Layer and makes
their communication faster.
• Actual database comes in the
picture.
Contains methods to
connect with the database.
Performs manipulations
with the database like inserting,
updating, deleting.
Client Layer
Business Layer Data Layer
8. Get yourself trained with Data Warehousing and
become a data analyst…..
To know more details,
Click here: https://goo.gl/kJJZPs
Want your future to blossom in a smart way???