Download Data Warehouse Systems: Design and Implementation by Alejandro Vaisman, Visit Amazon's Esteban Zimányi Page, PDF

By Alejandro Vaisman, Visit Amazon's Esteban Zimányi Page, search results, Learn about Author Central, Esteban Zimányi,

With this textbook, Vaisman and Zimányi convey very good insurance of information warehousing and enterprise intelligence applied sciences starting from the main uncomplicated rules to fresh findings and functions. To this finish, their paintings is dependent into 3 components. half I describes “Fundamental recommendations” together with multi-dimensional versions; conceptual and logical information warehouse layout and MDX and SQL/OLAP. accordingly, half II info “Implementation and Deployment,” such as actual info warehouse layout; facts extraction, transformation, and loading (ETL) and information analytics. finally, half III covers “Advanced issues” akin to spatial info warehouses; trajectory information warehouses; semantic applied sciences in facts warehouses and novel applied sciences like Map decrease, column-store databases and in-memory databases.

As a key attribute of the publication, many of the issues are awarded and illustrated utilizing software instruments. in particular, a case research in accordance with the well known Northwind database illustrates how the techniques awarded within the e-book will be carried out utilizing Microsoft research prone and Pentaho enterprise Analytics. All chapters are summarized utilizing evaluation questions and workouts to help entire pupil studying. Supplemental fabric to aid teachers utilizing this e-book as a direction textual content is out there at, together with digital types of the figures, suggestions to all routines, and a collection of slides accompanying each one chapter.

Overall, scholars, practitioners and researchers alike will locate this booklet the main finished reference paintings on info warehouses, with key issues defined in a transparent and academic style.

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The basic concepts of databases are studied in Chap. 2. The design of operational databases is typically performed in four phases: requirements specification, conceptual design, logical design, and physical design. During the requirements specification process, the needs of users at various levels of the organization are collected. The specification obtained serves as a basis for creating a database schema capable of responding to user queries. Databases are designed using a conceptual model, such as the entityrelationship (ER) model, which aims at describing an application without taking into account implementation considerations.

4 shows a relational schema that corresponds to the conceptual schema of Fig. 1. As we will see later in this section, this relational schema is obtained by applying a set of translation rules to the corresponding ER schema. The relational schema of the Northwind database is composed of a set of relations, such as Employees, Customers, and Products. Each of these relations is composed of several attributes. For example, EmployeeID, FirstName, and LastName are 22 2 Shippers ShipperID CompanyName Phone Customers CustomerID CompanyName ContactName ContactTitle Address City Region (0,1) PostalCode (0,1) Country Phone Fax (0,1) Suppliers SupplierID CompanyName ContactName ContactTitle Address City Region (0,1) PostalCode Country Phone Fax (0,1) Homepage (0,1) Categories CategoryID CategoryName Description Picture Orders OrderID CustomerID EmployeeID OrderDate RequiredDate ShippedDate (0,1) ShipVia Freight ShipName ShipAddress ShipCity ShipRegion (0,1) ShipPostalCode (0,1) ShipCountry OrderDetails OrderID ProductID UnitPrice Quantity Discount Products ProductID ProductName QuantityPerUnit UnitPrice UnitsInStock UnitsOnOrder ReorderLevel Discontinued SupplierID CategoryID Database Concepts Employees EmployeeID FirstName LastName Title TitleOfCourtesy BirthDate HireDate Address City Region (0,1) PostalCode Country HomePhone Extension Photo (0,1) Notes (0,1) PhotoPath (0,1) ReportsTo (0,1) Employee Territories EmployeeID TerritoryID Territories TerritoryID TerritoryDescription RegionID Regions RegionID RegionDescription Fig.

The classic data warehouse definition, given by Inmon, characterizes a data warehouse as a collection of subject-oriented, integrated, nonvolatile, and time-varying data to support management decisions. This definition emphasizes some salient features of a data warehouse. 1 A Historical Overview of Data Warehousing 5 decision-making process. For example, a data warehouse in a retail company may contain data for the analysis of the inventory and sales of products. The term integrated expresses the fact that the contents of a data warehouse result from the integration of data from various operational and external systems.

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