SAP Business Objects 4.0 (SP02)
Information Design Tool (Universe Designer)
Creating Business Layer
Creating Folders/Classes and Objects in BLX layer
Creating Queries to Test
This document provides an introduction to Web Intelligence, an SAP Business Objects tool for creating reports from data. It outlines the basics of Web Intelligence, including documents and queries, data restrictions using query filters, report creation and enhancement, formulas and variables, synchronizing multiple data sources, and data analysis and report management. Query filters allow restricting the data obtained from a query based on business requirements and can be predefined, single or multi-value, prompted, or complex using multiple filters joined with logical conditions.
SAP Business Objects 4.0 (SP02)
Information Design Tool (Universe Designer)
Creating Business Layer
Creating Folders/Classes and Objects in BLX layer
Creating Queries to Test
This document provides an introduction to Web Intelligence, an SAP Business Objects tool for creating reports from data. It outlines the basics of Web Intelligence, including documents and queries, data restrictions using query filters, report creation and enhancement, formulas and variables, synchronizing multiple data sources, and data analysis and report management. Query filters allow restricting the data obtained from a query based on business requirements and can be predefined, single or multi-value, prompted, or complex using multiple filters joined with logical conditions.
The document provides a beginner's guide to Web Intelligence, which is a tool for designing reports from business data. It discusses topics like documents and queries, data restrictions, creating reports, enhancing reports, formulas and variables, synchronizing multiple data sources, and analyzing data. The document also describes how to design Web Intelligence reports by adding different types of tables, charts, and other elements to organize and visualize information from a data source. Reports can be saved inside documents and modified later on.
This document provides an overview of Web Intelligence, an SAP Business Objects tool for analyzing and reporting on data. It discusses topics like documents and queries, data restrictions, creating reports, enhancing reports, formulas and variables, synchronizing multiple data sources, and analyzing and managing reports. The document also provides examples of using formulas and variables in reports as well as conditionally hiding columns using dynamic visibility.
The document provides an overview of SAP Webi (Web Intelligence) reporting tools. It describes the history and architecture of Webi, how to create reports using various data sources, and how to use features like filters, formulas, and sending reports to other users. The document also discusses related tools like the Business Explorer (BEx) for strategic analysis and query functions.
The document discusses new features in SAP BusinessObjects 4.0, with a focus on the Information Design Tool. Key points include:
- The Information Design Tool (IDT) is the new semantic layer for SAP BusinessObjects and replaces the Universe Designer. It allows for multi-source universes that can connect to multiple data sources.
- New features of the IDT include the ability to create derived tables directly from the interface, replace tables easily, and merge multiple tables. Dimensional and OLAP support is also improved.
- SAP BusinessObjects 4.0 offers improvements like 64-bit architecture, increased performance, new applications like the Upgrade Management Tool, and changes to the deployment
An info cube is a data storage area that maintains summarized and aggregated data in a star schema structure. It consists of one fact table containing key figures and dimensions tables. There are 11 steps to create a standard info cube which stores data physically in the cube: 1) Create a data source, 2) Create an info package to load data, 3) Create the info cube, 4) Assign info objects to dimensions, 5) Create a transformation, 6) Create the data transfer process, 7) Execute to load data, 8) Check loaded data. Standard info cubes allow only read access while virtual cubes access live data and real-time cubes allow read/write.
SAP BusinessObjects Web Intelligence Rich Client is a full-client reporting tool offered with Business Objects XI R3. This reporting tool is very similar to the Webi Java version that most end users are used to seeing in XI R2; however it offers a very important functionality of being able to work on reports offline without being connected to a CMS. It also provides equivalent report creation, editing, formatting, printing, and saving functionality that is found in Business Object’s original full-client reporting tool, Desktop Intelligence.
Sap business objects BI4.0 reporting presentationshaktell2
The document discusses SAP Business Objects reporting tools. It provides an overview of ERP Technicals Inc. and their expertise in SAP Business Objects components like data warehousing, rapid marts, data cleansing, product migration, reporting, dashboards, proofs of concept, and training. The agenda outlines topics on SAP Business Objects architecture, universes, Web Intelligence, Crystal Xcelsius dashboards, and a demonstration.
Power BI is a self-service business intelligence tool that allows users to analyze and visualize data. It consists of Power BI Desktop, the Power BI web service, and the Power BI mobile app. Power BI Desktop is used to build reports and dashboards locally, while the web service allows users to publish, share, and collaborate on reports and dashboards online. To create a dashboard in Power BI, a user would connect to a data source, build visualizations with the data, publish the report to the web, combine reports into a dashboard, and then share the dashboard.
The new release of Excel enables business users to do self-service Business Intelligence directly in the client, which now becomes a complete and powerful self-service BI tool - Basically users have all they need in one familiar environment in order to do data modeling, exploration and visualization of the data. New capabilities and features delivered for end users in Excel 2013; - ability to analyze data ranging from a few rows to hundred of millions of rows with extreme analytical performance - opportunity to speed up analysis in Excel by easily cleaning up and shaping your data with Flash Fill and Quick Explore - mash-up and analyze data from virtually any source quickly and create compelling analytical apps with PowerPivot - provide stunning data visualization to discover new insights with interactive and familiar data exploration, visualization and presentation experience with Power View
What is the Power BI and learn the Power BI by self and this presentation contains some use full links which help us at time of developing the Power BI.
The document provides an overview of implementing Oracle Business Intelligence Enterprise Edition (OBIEE) using an Oracle E-Business data source. It outlines the objectives to introduce OBIEE, demonstrate installation basics, repository creation, and sample reports. It describes OBIEE architecture with clients, presentation services, server, and data sources. It also covers installation options, the report development process, creating simple and star schema reports, and next steps.
BEx Query Designer allows users to define queries on data in SAP Business Warehouse (BW) by selecting characteristics and key figures from InfoProviders. Queries can be parameterized and data selection can be restricted by characteristic values, intervals, and hierarchy nodes. Once defined, queries can be saved and executed in BEx Analyzer or on the web. The tool provides functionality to open, modify, find, and filter existing queries defined on various types of InfoProviders in BW, including InfoCubes, ODS objects, and InfoSets.
Power BI consists of several components for data transformation, modeling, visualization, and natural language querying. Power Query is used to connect to data sources, clean the data, and publish to Power BI or Excel. Power Pivot is an in-memory data modeling tool using DAX. Power View enables creation of reports and visualizations. Power Map visualizes geospatial data in 3D. Power BI Desktop is a development tool and Power Q&A allows natural language questions over published models.
How do you easily example OBIEE users in what way they can easily combine data from different kind of data sources. In this presentation you will find some easy examples of how to example this.
The document summarizes the new Information Design Tool (IDT) in SAP BusinessObjects 4.0 for creating universes. The IDT breaks the universe down into three components - the Connection, Data Foundation, and Business Layer. Key updates include allowing multiple database connections per universe, improved editors for each component, and built-in data federation capabilities. The IDT provides improved functionality for developing universes over prior versions.
This document provides an overview of using various Microsoft tools for data mining, including:
1. Business Intelligence Development Studio (BI Dev Studio) which is used to develop data mining models and contains tools like Solution Explorer and Designers.
2. Creating data sources and data source views (DSVs) to connect to and organize data for modeling.
3. Using the Data Mining Wizard to create mining structures and models by selecting data, algorithms, and parameters.
4. Refining models using the Data Mining Designer and tools like the Mining Structure Editor.
5. Generating reports on model results using SQL Server Reporting Services.
6. Managing databases and models using SQL Server
Power BI is a business intelligence tool that converts data from different sources into attractive dashboards and reports. It includes Power BI Desktop for creating reports, Power BI Service for publishing reports, and Power BI mobile apps for viewing reports and dashboards. Power BI Desktop can import or directly query data from various sources like files, databases, and the web. It allows users to transform, visualize, and analyze data to gain insights. The imported data is stored in the Power BI service, while direct query leaves the data in its source.
This document provides a tutorial on Web Intelligence, which is a tool for analyzing and reporting on business data. The tutorial covers topics such as creating reports, enhancing reports with features like breaks, filters, and alerts, formatting reports, and synchronizing multiple data sources. Web Intelligence allows users to analyze data and create customizable reports for sharing insights.
Objective: This is my first attempt to bring practical business insights on SAP’s Cloud for Analytics (C4A) platform and also demonstrating the key implementation steps to deploy analytics on cloud from concept to realization.
Goal: Empower mainstream enterprise users to develop self-servicing analytics, planning, budgeting & forecasting solutions on cloud using SAP BusinessObjects Cloud Computing Platform.
Vision: Make business to quickly realize the measurable business values of SAP BusinessObjects Cloud
Simplify SAP BusinessObjects Cloud Implementation
Reduce the Implementation Cost of SAP BusinessObjects Cloud Implementation
Make SAP BusinessObjects Cloud Implementation Processes as a Repeatable Processes
What would be the Best and Risk Free Path to Implement and Adopt Analytics on Cloud?
Cloud for Analytics is an evolving area, so the first step in implementing cloud for analytics would be learning the fundamentals and understanding the key concepts, framework, architecture and building blocks of cloud for analytics solution. The following section describes the required key steps to implement and adopt SAP's cloud for analytics solutions.
1. Molder2. Allocation3. Stories4. Digital Boardroom 5. Files6. Events7. Users8. Deployment9. Connection10. System
The document provides a beginner's guide to Web Intelligence, which is a tool for designing reports from business data. It discusses topics like documents and queries, data restrictions, creating reports, enhancing reports, formulas and variables, synchronizing multiple data sources, and analyzing data. The document also describes how to design Web Intelligence reports by adding different types of tables, charts, and other elements to organize and visualize information from a data source. Reports can be saved inside documents and modified later on.
This document provides an overview of Web Intelligence, an SAP Business Objects tool for analyzing and reporting on data. It discusses topics like documents and queries, data restrictions, creating reports, enhancing reports, formulas and variables, synchronizing multiple data sources, and analyzing and managing reports. The document also provides examples of using formulas and variables in reports as well as conditionally hiding columns using dynamic visibility.
The document provides an overview of SAP Webi (Web Intelligence) reporting tools. It describes the history and architecture of Webi, how to create reports using various data sources, and how to use features like filters, formulas, and sending reports to other users. The document also discusses related tools like the Business Explorer (BEx) for strategic analysis and query functions.
The document discusses new features in SAP BusinessObjects 4.0, with a focus on the Information Design Tool. Key points include:
- The Information Design Tool (IDT) is the new semantic layer for SAP BusinessObjects and replaces the Universe Designer. It allows for multi-source universes that can connect to multiple data sources.
- New features of the IDT include the ability to create derived tables directly from the interface, replace tables easily, and merge multiple tables. Dimensional and OLAP support is also improved.
- SAP BusinessObjects 4.0 offers improvements like 64-bit architecture, increased performance, new applications like the Upgrade Management Tool, and changes to the deployment
An info cube is a data storage area that maintains summarized and aggregated data in a star schema structure. It consists of one fact table containing key figures and dimensions tables. There are 11 steps to create a standard info cube which stores data physically in the cube: 1) Create a data source, 2) Create an info package to load data, 3) Create the info cube, 4) Assign info objects to dimensions, 5) Create a transformation, 6) Create the data transfer process, 7) Execute to load data, 8) Check loaded data. Standard info cubes allow only read access while virtual cubes access live data and real-time cubes allow read/write.
SAP BusinessObjects Web Intelligence Rich Client is a full-client reporting tool offered with Business Objects XI R3. This reporting tool is very similar to the Webi Java version that most end users are used to seeing in XI R2; however it offers a very important functionality of being able to work on reports offline without being connected to a CMS. It also provides equivalent report creation, editing, formatting, printing, and saving functionality that is found in Business Object’s original full-client reporting tool, Desktop Intelligence.
Sap business objects BI4.0 reporting presentationshaktell2
The document discusses SAP Business Objects reporting tools. It provides an overview of ERP Technicals Inc. and their expertise in SAP Business Objects components like data warehousing, rapid marts, data cleansing, product migration, reporting, dashboards, proofs of concept, and training. The agenda outlines topics on SAP Business Objects architecture, universes, Web Intelligence, Crystal Xcelsius dashboards, and a demonstration.
Power BI is a self-service business intelligence tool that allows users to analyze and visualize data. It consists of Power BI Desktop, the Power BI web service, and the Power BI mobile app. Power BI Desktop is used to build reports and dashboards locally, while the web service allows users to publish, share, and collaborate on reports and dashboards online. To create a dashboard in Power BI, a user would connect to a data source, build visualizations with the data, publish the report to the web, combine reports into a dashboard, and then share the dashboard.
The new release of Excel enables business users to do self-service Business Intelligence directly in the client, which now becomes a complete and powerful self-service BI tool - Basically users have all they need in one familiar environment in order to do data modeling, exploration and visualization of the data. New capabilities and features delivered for end users in Excel 2013; - ability to analyze data ranging from a few rows to hundred of millions of rows with extreme analytical performance - opportunity to speed up analysis in Excel by easily cleaning up and shaping your data with Flash Fill and Quick Explore - mash-up and analyze data from virtually any source quickly and create compelling analytical apps with PowerPivot - provide stunning data visualization to discover new insights with interactive and familiar data exploration, visualization and presentation experience with Power View
What is the Power BI and learn the Power BI by self and this presentation contains some use full links which help us at time of developing the Power BI.
The document provides an overview of implementing Oracle Business Intelligence Enterprise Edition (OBIEE) using an Oracle E-Business data source. It outlines the objectives to introduce OBIEE, demonstrate installation basics, repository creation, and sample reports. It describes OBIEE architecture with clients, presentation services, server, and data sources. It also covers installation options, the report development process, creating simple and star schema reports, and next steps.
BEx Query Designer allows users to define queries on data in SAP Business Warehouse (BW) by selecting characteristics and key figures from InfoProviders. Queries can be parameterized and data selection can be restricted by characteristic values, intervals, and hierarchy nodes. Once defined, queries can be saved and executed in BEx Analyzer or on the web. The tool provides functionality to open, modify, find, and filter existing queries defined on various types of InfoProviders in BW, including InfoCubes, ODS objects, and InfoSets.
Power BI consists of several components for data transformation, modeling, visualization, and natural language querying. Power Query is used to connect to data sources, clean the data, and publish to Power BI or Excel. Power Pivot is an in-memory data modeling tool using DAX. Power View enables creation of reports and visualizations. Power Map visualizes geospatial data in 3D. Power BI Desktop is a development tool and Power Q&A allows natural language questions over published models.
How do you easily example OBIEE users in what way they can easily combine data from different kind of data sources. In this presentation you will find some easy examples of how to example this.
The document summarizes the new Information Design Tool (IDT) in SAP BusinessObjects 4.0 for creating universes. The IDT breaks the universe down into three components - the Connection, Data Foundation, and Business Layer. Key updates include allowing multiple database connections per universe, improved editors for each component, and built-in data federation capabilities. The IDT provides improved functionality for developing universes over prior versions.
This document provides an overview of using various Microsoft tools for data mining, including:
1. Business Intelligence Development Studio (BI Dev Studio) which is used to develop data mining models and contains tools like Solution Explorer and Designers.
2. Creating data sources and data source views (DSVs) to connect to and organize data for modeling.
3. Using the Data Mining Wizard to create mining structures and models by selecting data, algorithms, and parameters.
4. Refining models using the Data Mining Designer and tools like the Mining Structure Editor.
5. Generating reports on model results using SQL Server Reporting Services.
6. Managing databases and models using SQL Server
Power BI is a business intelligence tool that converts data from different sources into attractive dashboards and reports. It includes Power BI Desktop for creating reports, Power BI Service for publishing reports, and Power BI mobile apps for viewing reports and dashboards. Power BI Desktop can import or directly query data from various sources like files, databases, and the web. It allows users to transform, visualize, and analyze data to gain insights. The imported data is stored in the Power BI service, while direct query leaves the data in its source.
This document provides a tutorial on Web Intelligence, which is a tool for analyzing and reporting on business data. The tutorial covers topics such as creating reports, enhancing reports with features like breaks, filters, and alerts, formatting reports, and synchronizing multiple data sources. Web Intelligence allows users to analyze data and create customizable reports for sharing insights.
Objective: This is my first attempt to bring practical business insights on SAP’s Cloud for Analytics (C4A) platform and also demonstrating the key implementation steps to deploy analytics on cloud from concept to realization.
Goal: Empower mainstream enterprise users to develop self-servicing analytics, planning, budgeting & forecasting solutions on cloud using SAP BusinessObjects Cloud Computing Platform.
Vision: Make business to quickly realize the measurable business values of SAP BusinessObjects Cloud
Simplify SAP BusinessObjects Cloud Implementation
Reduce the Implementation Cost of SAP BusinessObjects Cloud Implementation
Make SAP BusinessObjects Cloud Implementation Processes as a Repeatable Processes
What would be the Best and Risk Free Path to Implement and Adopt Analytics on Cloud?
Cloud for Analytics is an evolving area, so the first step in implementing cloud for analytics would be learning the fundamentals and understanding the key concepts, framework, architecture and building blocks of cloud for analytics solution. The following section describes the required key steps to implement and adopt SAP's cloud for analytics solutions.
1. Molder2. Allocation3. Stories4. Digital Boardroom 5. Files6. Events7. Users8. Deployment9. Connection10. System
System modeling techniques are used during requirements engineering and design to represent different perspectives of a system. Context models show the system and its environment, while process models illustrate system processes. Behavioral models include data flow diagrams for data processing and state machine diagrams for event-driven behavior. Semantic data models describe logical data structures. Object models represent system entities and relationships. CASE tools support creating and analyzing various system models during development. Prototyping, through evolutionary or throw-away approaches, helps validate requirements by allowing users to interact with early versions of the system. Rapid prototyping techniques include visual programming and reusing components.
CS554 � Introduction to Rational RoseJignesh Patel
Rational Rose is a visual modeling tool that allows users to graphically represent different views of a software system using diagrams. The document introduces various diagram types in Rational Rose, including use case diagrams, class diagrams, sequence diagrams, collaboration diagrams, activity diagrams, component diagrams, deployment diagrams, and statechart diagrams. Each diagram type shows a different perspective and can be used at different stages of the software development process to help with requirements, design, and communication.
This document provides an overview of the system development life cycle (SDLC) and object-oriented analysis and design. It discusses the four main phases of the SDLC - planning, analysis, design, and implementation. Within each phase, common techniques and deliverables are described, such as creating use case diagrams and class diagrams during analysis, and designing system architecture and user interfaces during design. Object-oriented concepts like classes, objects, and relationships are also explained.
BusinessObjects Cloud and How to Take Advantage of it for Your Planning PurposesDickinson + Associates
BusinessObjects Cloud on HANA provides a Software as a Service (SAAS) on a public cloud platform to address a wide range of business issues. BusinessObjects Cloud for Planning offers the ability to roll out a public cloud planning application to strategic business units or an entire company that can leverage your existing BPC models as well as other BW or flat file data to provide a planning solution suited to fit your needs. BusinessObjects Cloud includes many delivered functionalities including allocations and easy to build reports and charts.
Join us as we take a look at real-world business planning scenarios and functionality with BusinessObjects Cloud. In this 60-minute webinar, we will:
• Take a detailed look at BusinessObjects Cloud running on SAP HANA
• Discuss integration of BPC and SAP Cloud for Planning
• Review delivered functionality
• Demonstrate BW or other non-BPC data in your stories
• Setting up personal Home pages specific to key users
• Demonstrate planning scenarios with BusinessObjects Cloud
• Answer questions and discuss how BusinessObjects Cloud can improve your business planning processes
This document provides an introduction to structural and use case modeling using the Unified Modeling Language (UML). It defines structural modeling as emphasizing the structure of objects, including their classifiers, relationships, attributes and operations. Use case modeling partitions system functionality into meaningful transactions ("use cases") between users ("actors") and the system. The document then reviews the core concepts and diagram types for both structural and use case modeling in UML.
SAP BusinessObjects Cloud is a new generation of Software-as-a-Service (SaaS) that provides all analytics capabilities like business intelligence, planning, predictive analytics, governance, risk and compliance in one product. It is built natively on the SAP HANA Cloud Platform. SAP BusinessObjects Cloud allows users to analyze, plan, predict and decide in real-time with a consumer-grade user experience. Key capabilities include personalized dashboards, data visualization, planning, collaboration and geospatial analytics.
In this tutorial, we learn to access MySQL database from R using the RMySQL package. The tutorial covers everything from creating tables, appending data to removing tables from the database.
This document provides an introduction to SAP BI dashboards and the Xcelsius tool. It describes the key components of the Xcelsius interface including the component browser, canvas, properties panel, and object browser. It also explains how to add and format components on the canvas, set properties, group and lock objects, and navigate between components using the object browser. The goal of Xcelsius is to transform raw data into interactive and visually appealing dashboard presentations.
SAP Business Objects Universe Designer & Introduction to Business Intelligenc...BigClasses Com
Universe is a middle layer between the database and reports that includes only required table structures to avoid burdening the database. It can generate multiple reports from a single universe. Changes to the database will impact the universe and reports, while changes to the universe only impact reports, not the database. The new release of SAP Business Objects BI 4.0 introduces native connectivity to SAP BW and SAP HANA via BICS connections for Web Intelligence reporting.
This document outlines the details of an airport management system project for a database management systems course. It includes the group members, instructor, table of contents, and overview of key aspects of setting up the database system. The document describes the entities, attributes, and relationships that will be modeled in the database using an entity-relationship diagram. It also discusses how SQL will be used to perform queries on the database.
This document provides an overview of a Linked Data tutorial presented on March 6, 2009. The tutorial covered topics such as the motivation for Linked Open Data, relevant technologies like URIs, RDF, and SPARQL, and principles for publishing and interlinking data on the web in a way that is accessible to both humans and machines. The goal of Linked Data is to open up data silos and make public data available on the web in a standardized format.
This document provides an overview of a project done by Group 4. It lists the 15 project members by their student IDs. The contents section outlines the topics to be covered in the project report, including introductions to UML, an overview of UML diagrams, modeling techniques such as use cases, class diagrams, state diagrams and more. Relational database design is also mentioned as a UML extension that will be covered.
analysis and design of information systemRenu Sharma
Information systems analysis and design involves developing and maintaining computer-based information systems through a system development life cycle (SDLC) with phases like planning, analysis, design, implementation, and maintenance. Analysis involves breaking down a system to understand its components and functionality, while design creates a blueprint for how the system will be developed based on requirements. Key concepts in analysis and design include requirement analysis, abstraction, refinement, modularity, and tools like data flow diagrams and data dictionaries.
Personas, Scenarios, User Stories, Use Cases (IxDworks.com)Valeria Gasik
This document discusses user-centered design approaches like personas, scenarios, and user stories. It provides templates and examples for creating a persona profile with background, goals, and mapping. Scenarios are described as stories that illustrate user interactions and goals. User stories are goals the user wants to accomplish with the product in a simple format, while use cases describe step-by-step processes. The document advises creating these artifacts based on research to understand users and explore design solutions from their perspective.
This document provides instructions on how to create and manipulate PivotTables in Microsoft Excel 2010. It discusses the different field types in a PivotTable, how to create a PivotTable from an Excel data list, and how to rearrange, update, and add or remove fields after initial creation. The goal is to teach users how to use PivotTables to analyze and reveal insights from their data.
This document describes a generic ETL process to load data into a Data Vault model using Pentaho Data Integration. Key points include:
- A single parameterized job and transformation was created for loading each type of Data Vault entity (hub, link, hub satellite, link satellite) driven by metadata from Excel and database tables.
- Loading is done in a loop with jobs logging details for easy debugging. Errors are captured in error tables to identify design issues.
- The process is available for free and supports MySQL and PostgreSQL backends initially with Oracle planned. Recipients can obtain the code by sending Belgian beer to the author.
This document provides an overview of a training on Microsoft Power BI. It introduces Power BI as a business intelligence tool consisting of three core applications: connecting to data sources, data preparation and analysis, and visualization and collaboration. It outlines the key topics that will be covered in the training, including connecting and transforming data in Power BI Desktop, data modeling, analyzing data with DAX calculations, visualizing and formatting data, filters, and refreshing and scheduling reports in Power BI Service. The training will cover the components and building blocks of Power BI, how to use the Power BI Desktop interface, and include hands-on exercises for working with data, creating reports and dashboards, and publishing to Power BI Service.
This document discusses different approaches for mapping object-oriented class hierarchies and properties to a relational database schema. It describes mapping an entire class hierarchy to a single table, mapping each concrete class to its own table, mapping each class to its own table, and using a generic table structure. It also discusses strategies for mapping class-scope properties that apply to all instances of a class, including using single-column single-row tables, multi-column single-row tables, multi-column single-row tables for all classes, and a multi-row generic schema.
Assignment # 2PreliminariesImportant Points· Evidence of acad.docxjane3dyson92312
Assignment # 2Preliminaries
Important Points
· Evidence of academic misconduct (e.g., plagiarism, collaboration/collusion among students) will be taken seriously and University regulations strictly followed.
· You are expected to produce a word-processed answer to this assignment. Please use Arial font and a font size of 12. For SQL code and output, you can use courier new, which preserves SQL format and layout.
· You are required to use the Harvard Style of referencing and citation. The “Cite them right” guide is recommended for referencing and citation (Pears and Shields, 2008) which should be followed throughout your answer especially Part 3.
· Late submissions will be given zero marks unless prior permission is gained from the school office/programme leader.
Module Learning Outcomes (MLOs) assessed:
Knowledge & Understanding:
2. Key concepts of data warehousing.
Intellectual / Professional skills & abilities:
3. Conceptual data modelling, relational database design and implementation in SQL & PL/SQL, and object-based databases.
4. Design and Implementation of a data warehouse using Oracle database system.
Tasks of the Assignment
Part 1 (50 marks) Scenario: Mechanical Production Factories (MPF) Database System
MPF is a company that produces customised mechanical products within Europe. The company produces a rang of mechanical products at several factories. Information about which work force are assigned to which production orders and kept in the force usage register.
In order to access information quickly and to ensure that all past records are available for audit purposes, the company developed a database. Figure 1 shows a UML class diagram, which provides a conceptual model of the database. Relational Design for MPF Database System
A conceptual model of a database may be implemented using any database system (e.g. relational, object-relational, object-oriented). However, to start with, we have mapped the MPF’s conceptual model onto a relational logical model. Figure 2 details the relations for an implementation of the database using a relational database system. Note that Figure 2 uses shorthand / abbreviated notation for data types / domains for describing various attributes of the relations involved in the database.
Figure 1: UML Class Diagram for the MPF Database
Domains/Data Types: ID = Number(6) LTXT = Varchar(50)
STXT = Varchar(30) DEC = Number(8, 2) INT = Number(6)
Factory (FactoryId: ID, Location: LTXT, Country: LTXT)
Product (ProdId: ID, Description: LTXT, CostPerItem: DEC, LabCostPerItem: DEC)
FactoryProduct (FactoryId: ID *: ID, ProdId*: ID)
Workforce (wfId: ID, wfName: STXT, yearlyIncome: DEC, yearlyTax: DEC, taxCode: INT, factoryId*: ID)
Production (prodOrderId: ID, quantity: INT, itemPrice: DEC,orderDate: Date, promiseDate: Date, completionDate: Date, shipmentDate: Date, status: CHAR, prodID*: ID)
ForceUsage (wfId*:ID, prodOrderId*:I.
The document discusses database modeling concepts and how to create entity relationship (E/R) diagrams using SQL Server Management Studio and MySQL Workbench. It covers topics such as identifying entities and relationships from requirements, defining primary keys, creating tables, defining column data types, and establishing relationships between tables. Screenshots and step-by-step instructions are provided for creating databases, tables, and relationships in SQL Server and MySQL. Sample exercises are included at the end for creating E/R diagrams based on university and dictionary schemas.
SAP BO 4.2 Training Online and job support
Online Training SAP BO 4.2
Manasa
Contact numbers : +91 9972971235,
+91-9663233300(India)
Email Id : Madhukar.dwbi@gmail.com
Website:http://www.sapboonlinetrainings.com
SAP BusinessObjects Design Studio 1.7
In this SAP Design Studio webinar replay,SAP BusinessObjects Design Studio, presents the key capabilities of the recently released SAP BusinessObjects Design Studio 1.6. Jie’s presentation includes a review of the scorecard, spreadsheet, CSV file as data source, and geomap enhancements and is followed by a product demonstration as well as a glimpse at the product roadmap.
Agenda:
- Introduction
- Overview of the SAP BI Client Portfolio
- What is SAP BusinessObjects Design Studio?
- New features and functions in release 1.6
- Product Demonstration
- Roadmap
- Q&A
suman training
Contact numbers : +91 9972971235,+91-9663233300(India)
Email Id : Madhukar.dwbi@gmail.com,
YouTube: https://www.youtube.com/channel/UCyjP...
Facebook: https://www.facebook.com/?sw_fnr_id=7...
Twitter: https://twitter.com/suman4tr
Website: http://onlinebusinessobjectstraining.com
http://www.sap-bo-online-training.com/
http://sapboonlinetrainings.com
Online SAP BO 4.2 Training
Ashok
Contact numbers : +91 9972971235,
+91-9663233300(India)
Email Id : Madhukar.dwbi@gmail.com
Website:http://onlinebusinessobjectstraining.com
SAP Business Objects 4.2 Training Online
Ashok
Contact numbers : +91 9972971235,
+91-9663233300(India)
Email Id : Madhukar.dwbi@gmail.com
Website:http://onlinebusinessobjectstraining.com
The document provides an overview of the topics covered in the SAP BO 4.1 Online Training course, including Web Intelligence for report creation and querying, the Universe Design Tool for building and securing universes, Information Design Tool concepts, server administration, dashboards, Crystal Reports, Design Studio, Lumira, and more. The course covers concepts, getting started tutorials, and advanced techniques for each topic area.
The document provides an overview of the topics covered in the SAP BO 4.1 Online Training course, including Web Intelligence for report creation and querying, the Universe Design Tool for building and securing universes, Information Design Tool concepts, Server Administration, Dashboards, Crystal Reports, Design Studio, Lumira, and more. The course covers concepts, getting started exercises, and advanced techniques for each product area.
Lab 2 Work with Dictionary and Create Relational Database (60 pts.).docxVinaOconner450
Lab 2: Work with Dictionary and Create Relational Database (60 pts.)
iLAB OVERVIEW
Scenario and Summary
In this lab, you will prepare a Data Dictionary based on the list of elements. Also, your task will be determined the tables, their relationships, primary and foreign keys. Based on this analysis, you will create Database Schema, relational tables, Entity –Relational Diagram (ERD), establish connection to your local MySQL Server, create physical database and insert data to the tables.
MySQL provides two primary types of file management: dictionary-managed files and MySQL Workbench-managed files. As part of this iLab, you will need to supply some information as to how you would use both of these approaches, and you will have to discuss some of the advantages of each.
For Step 3, you need access to your database instance. If you have any difficulties connecting your database instance, let's take error messages, screen shots, descriptions of the situation to the graded threads and work as a team to resolve issues.
Now you are ready to proceed.
Deliverables
Your assignment will be graded based on the following.
Assignment Step
Description
Points
Step 1
Create Data Dictionary for provided elements (Word document)
15
Step 2
Create SCHEMA and database tables in MySQL Workbench
15
Step 3
Establish connection to the MySQL Server (screenshots)
15
Step 4
Insert data to tables using MySQL Workbench
15
Total Lab Points
60
For Steps 1, 2, 3 and 4 create a single Word document and include the answers or solutions to all problems. Be sure to label your document and include your name and course number in the heading. Save your document as "yourname_Lab_2.docx."
Submit both "yourname_Lab_2.docx" to the Dropbox for this week.
iLAB STEPS
STEP 1: Create Data Dictionary for provided elements
As the DBA for your company, you have decided to install a new version of the MySQL database to replace the current database version being used. The old database has become a constant headache and seems to be causing an overload on the disk drive's I/O channels. Further analysis has also shown that two primary large tables are the main points of access. The new tables will be DEPT, EMPLOYEE, and BONUS.
Describe how you plan to compile the Data Dictionary and decide on the table’s structure with the new MySQL database.
Given list of elements:
NN
Attribute Name
Column name
Data Type
1
Employee number (PK)
EMPNO
NUMBER(4)
2
Employee first name
EFNAME
VARCHAR2(10)
3
Employee last name
ELNAME
VARCHAR2(20)
4
Job category (FK)
JOBCATEGORY
VARCHAR2(4)
5
Manager
MGR
NUMBER (4)
6
Hire date
HIREDATE
DATE
7
Salary
SAL
NUMBER (7.2)
8
Commission
COMM
NUMBER (7.2)
9
Department number(FK)
DEPTNO
NUMBER(2)
10
Department name
DEPTNAME
VARCHAR2(14)
11
Location
LOC
VARCHAR2(13)
12
Job title
JOBTITLE
VARCHAR2(20)
13
Job description
JOBDESC
VARCHAR2(20)
Compile Data Dictionary (in alphabetic order):
NN
Attribute Name
Column name
Data Type
Data element description
Table name
Primary key/ Foreign k.
SAP Business Objects XIR3.0/3.1, BI 4.0 & 4.1 Course Content
SAP Business Objects Web Intelligence and BI Launch Pad 4.0
Introducing Web Intelligence
BI launch pad: What's new in 4.0
Customizing BI launch pad
Creating Web Intelligence Documents with Queries
Restricting Data Returned by a Query
Report Design in the Java Report Panel
Enhancing the Presentation of Reports
Formatting Reports
Creating Formulas and Variables
Synchronizing Data
Analyzing Data
Drilling
Filtering data
Alerts
Input Control
Scheduling (email)
Data Refresh introduction
Sharing Web Intelligence Documents
SAP Business Objects BI Information Design Tool 4.0
Create a project
Create a connection to a relational database
Create a data foundation based on a single source relational database
Create a business layer based on a single relational data source
Publish a new universe file based on a single data source
Retrieve a universe from a repository location
Publish a universe to a local folder
Retrieve a universe from a local folder
Open a local project
Delete a local project
Convert a repository universe from a UNV to a UNX
Convert a local universe from a UNV to a UNX
Connecting to Data Sources
Create a connection shortcut
View and filter data source values in the connection editor
Create a connection to an OLAP data source
Create a BICS connection to SAP BW for client tools
Create a relational connection to SQL Server using OLEDB providers
Building the Structure of a Universe
Arrange tables in a data foundation
View table values in a data foundation
View values from multiple tables in a data foundation
Filter table values in a data foundation
Filter values from multiple tables in a data foundation
Apply a wildcard to filter table values in a data foundation
Apply a wildcard to filter values from multiple tables in a data foundation
Sort and re-order table columns in a data foundation
Edit table values in a data foundation
Create an equi-join, theta join, outer join, shortcut join
Create a self-restricting join using a column filter
Modify and remove a column filter
Detect join cardinalities in a data foundation
Manually set join cardinalities in a data foundation
Refresh the structure of a universe
Creating the Business Layer of a Universe
Create business layer folders and subfolders
Create a business layer folder and objects automatically from a table
Create a business layer subfolder and objects automatically from a table
Create dimension objects automatically from a table
Create a dimension, attribute , measure
Hide folders and objects in a business layer
Organize folders and subfolders in a business layer
View table and object dependencies
Create a custom navigation path
Create a dimensional business layer from an OLAP data source
Copy and paste folders and objects in a business layer
Filtering Data in Objects
Create a pre-defined
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The document outlines an online training course for SAP BO 4.1 that covers topics such as Web Intelligence, Universe Design Tool, Information Design Tool, Server Administration, Crystal Reports, Design Studio, and Lumira. The Web Intelligence section covers creating and designing reports with queries, filters, tables, charts and other features. The Universe Design Tool and Information Design Tool sections cover building and securing universes from data sources. Server administration covers security, scheduling and other platform tasks. Crystal Reports, Design Studio and Lumira sections provide overviews of those tools.
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Information Design Tool -Tutorial5
1. Information Design Tool (**Universe
Design Tool)
Creating a Universe using IDT
**Here the data is stored in a MS Access DB and connection to the DB is made
using ODBC**
Our intension is to design/develop a Universe, which can be used by the webI
users to create reports as per the requirements. The process is as follows;
1: Creating a project
2: Creating Database Connections
3: Creating Data Foundation layer
4: Insert Tables and Joins to DFX layer
5: Creating Business Layer
6: Creating Folders/Classes and Objects in BLX layer
7: Creating Queries to Test Tutorial 5
8: Publish to repository
OBILY B W SAP Business Objects 4.0 SP02
2. INFORMATION DESIGN TOOL TUTORIAL 5
SQL Traps
A trap is a situation during the Universe design where the query returns higher
number of rows, than expected results. There are two types of SQL traps;
CHASM trap
This is a problem with join path between three tables, where a single table
has 2 one-to-many join paths between the other two tables and there is no
context to separate the converging path. The relationship between three
tables will be “many-to-one-to-many”.
In above case when a query includes object from table B and Table C and
objects from table A, the CHASM trap causes a query to return every
possible combination of one measure with other. This result gets multiplied
by number of rows in result set and output is similar like a Cartesian
product. Chasm trap is not dependent on object types.
FAN trap
This occurs when there is a one-to-many join to a table that fans out into
another one-to-many join to another table. It does not result into fan trap
unless a query includes a measure object on the middle table ('B') of the
table path and an object (of any kind) from the subsequent table ('C'). The
trap only occurs where a column in table B holds data values which are
already a sum of those values held at table C.
OBILY B W
SAP Business Objects 4.0 SP02
3. INFORMATION DESIGN TOOL TUTORIAL 5
If we run a query with objects Y and Z, the SQL will relate table tables B and
C which have 1: N relationship. The result will be inflated as the value for Y
object being multiplied by the number of values of the Z object related to
the Y object value. We cannot automatically detect FAN traps but needs to
visually examine the direction of the cardinalities.
OBILY B W
SAP Business Objects 4.0 SP02
4. INFORMATION DESIGN TOOL TUTORIAL 5
How to resolve Chasm Trap?
Analyze one –to-many join paths in the schema, Chasm trap is resolved by
executing separate SELECT statements for object Y and object Z.
OBILY B W
SAP Business Objects 4.0 SP02
5. INFORMATION DESIGN TOOL TUTORIAL 5
This is why the Sale and Rental revenues got doubled
Either modify the SQL parameters for the universe and generate separate SQL
queries for each measure or simply use context for each fact table.
How to resolve FAN Trap?
For resolving the FAN trap the best method will be to use a combination of Aliases
and Contexts. Create an Alias for the table which contain the aggregated value (B
table in the example) and then detect and implement contexts to separate the
query.
OBILY B W
SAP Business Objects 4.0 SP02
6. INFORMATION DESIGN TOOL TUTORIAL 5
Create an alias for a middle table (B). Create a join between new alias table (Ba)
and first table (A) which is at one end. Set the cardinality and set context for the
join. Change the parameter in Business layer of measure “Y” to refer to new alias
table.
OBILY B W
SAP Business Objects 4.0 SP02