Database Analysis Olap And Database Administration

CHAPTER 14: OLAP AND DATABASE ADMINISTRATION 14.1 LEARNING OBJECTIVE AND OUTCOMES The basics objective to create a well-designed database using basic database commands. lt also provide how to manipulate the stored data and return meaningful results to help analyze the data stored. Upon completion of this chapter, they will be able to: †¢ Create, read, update, and delete data using basic SQL commands. †¢ Perform relational joins and transactions on SQL tables. †¢ Aggregate data through functions and conditionals. †¢ Perform sub queries and manipulate views. †¢ Create stored procedures within SQL. †¢ Summarize data using PIVOT and UNPIVOT. †¢ Demonstrate knowledge of data indices and information schemas. †¢ Create a full-fledged blog database.†¦show more content†¦It is consider as a specialists that an OLAP system which contains an information on server that allows quick access to data (atomic data and derived data) and facilities calculations. Because OLAP tools work with multidimensional data models, perform complex analytical queries, ad hoc and has a high processing speed, some scholars have suggested that they rather be called FASMI (Fast Analysis of Shared Multidimensional Information) . Thus, Nigel and Richard Creeth Pendle, from the idea that 18 or even 12 rules are too much wanted to define the characteristics of OLAP applications in a simple way and thus propose FASMI test, five key words: 1) Key word speed - users have earlier access to data at any time (basically the smooth running of a company is assured of making correct decisions to be taken quickly based on data that is stored in a warehouse data, the speed of access becomes a necessity). If simple analysis response time is one second, and for more complex analysis, response time may be longer than 20 seconds; 2) key word analysis - OLAP system should provide the user to perform various tests with the help of mathematical methods or statistical. Virtually, should provide the opportunity definition of ad-hoc calculations making reports in any form without the use of professional programming languages. 3) key word shared - allowing data to be accessed by many concurrent usersShow MoreRelatedIsys104 Tutorial – Week 73285 Words   |  14 Pages Review Questions 1. What are the problems of managing data resources in a traditional file environment and how are they solved by a database management system? List and describe each of the components in the data hierarchy. Figure 6–1 shows the data hierarchy. The data hierarchy includes bits, bytes, fields, records, files, and databases. Data are organized in a hierarchy that starts with the bit, which is represented by either a 0 (off) or a 1 (on). Bits can be grouped to formRead MoreThe Future Of Business And Clinical Intelligence Essay1236 Words   |  5 Pagesintelligence tools and techniques. Healthcare organizations collect huge volumes of data and the challenge is data management that includes data collections, data sharing, and data analytics. Raw data is gathered has to be organized in relational databases to generate meaningful information for executives and leaders to make effective decisions. These decisions are also made based on information gathered to find out what is going on now and to predict what will happen in the near future. HealthcareRead MoreDirt Bikes U.S.A: Improving Decision Making and Redesigning the Customer Database4175 Words   |  17 PagesINFO 1400 Koffka Khan Tutorial 6 Running Case Assignment: Improving Decision Making: Redesigning the Customer Database Dirt Bikes U.S.A. sells primarily through its distributors. It maintains a small customer database with the following data: customer name, address (street, city, state, zip code), telephone number, model purchased, date of purchase, and distributor: http://wps.prenhall.com/bp_laudon_mis_10/62/15946/4082221.cw/index.html. These data are collected by its distributors whenRead MoreVertica Database Project Abstract972 Words   |  4 Pages1.1 Background To approve a database in the universe, the Solution Designers need to create report physically and confirm it for any blunders, which expends a considerable measure of time. The most ideal approach to keep away from this manual confirmation process is to automate it. This venture is the advancement of a device that automatically creates the report and notify if any mistakes are distinguished. For this RestFul API administration is utilized alongside BO SDK. The check is done in lightRead MoreFinancial, Retail And Shopping Domains1135 Words   |  5 Pageswith 4 years of experience in Financial, Retail and Shopping domains. Extensive experience working with enterprise level data warehouses, ETL tools and writing advanced SQL queries including OLAP Cubes functionality across various RDBMS platforms (SQL Server, Teradata, Oracle DB2). Proficient with Data Analysis techniques like Data Profiling, Data Cleansing, Data Integrity, Data Mining, Data Reference and Security and etc. Strong knowledge and understanding of Data Lineage. Good knowledge of DimensionalRead MoreErp and Related Technologies4467 Words   |  18 PagesSome of these technologies are: †¢ Business Process Reengineering (BPR) †¢ Management Information System (MIS) †¢ Decision Support Systems ( DSS) †¢ Executive Information Systems (EIS) †¢ Data warehousing †¢ Data Mining †¢ On-line Analytical Processing (OLAP) †¢ Supply Chain Management 1. Business Process Reengineering (BPR) †¢ Business processes are: simply a set of activities that transform a set of inputs into a set of outputs (goods or services) for another person or process using people and toolsRead MoreFOUNDATIONS OF BUSINESS INTELLIGENCE:2052 Words   |  9 PagesManagement Information Systems MANAGING THE DIGITAL FIRM, 12TH EDITION Chapter 6 FOUNDATIONS  OF  BUSINESS INTELLIGENCE:  DATABASES  AND INFORMATION  MANAGEMENT Management Information Systems CHAPTER  6:  FOUNDATIONS  OF  BUSINESS  INTELLIGENCE: DATABASES  AND  INFORMATION  MANAGEMENT RR Donnelley Tries to Master Its Data †¢ Problem:  Explosive  growth  created  information   management  challenges. †¢ Solutions:  Use  MDM  to  create  an  enterprise†wide  set  of   data,  preventing  unnecessary  data  duplicationRead MoreMis Laudon 12th Ed Chapter 5 Answer7131 Words   |  29 PagesFoundations of Business Intelligence: Database and Information Management Student Learning Objectives 1. How does a relational database organize data, and how does it differ from an object-oriented database? 2. What are the principles of a database management system? 3. What are the principal tools and technologies for accessing information from databases to improve business performance and decision making? 4. What is the role of information policy and data administration in the management of organizationalRead MoreThe Future Of Business And Clinical Intelligence Essay1423 Words   |  6 Pagesintelligence tools and techniques. Healthcare organizations collect huge volumes of data and the challenge is data management that includes data collections, data sharing, and data analytics. Raw data is gathered has to be organized in relational databases to generate meaningful information for executives and leaders to make effective decisions. These decisions are also made based on information gathered to find out what is going on now and to predict what will happen in the near future. HealthcareRead MoreMis Laudon 12th Ed Chapter 5 Answer7145 Words   |  29 Pagesof Business Intelligence: Database and Information Management Student Learning Objectives 1. How does a relational database organize data, and how does it differ from an object-oriented database? 2. What are the principles of a database management system? 3. What are the principal tools and technologies for accessing information from databases to improve business performance and decision making? 4. What is the role of information policy and data administration in the management of organizational