In this section, the authors assume a basic understanding of what wasĭelivered in the other sections. The final section, Data Visualization and Overall Perspectives pull together the information from the previous sections. The section wraps up by helping the reader to select and use the right tools. Trees, neural networks, genetic algorithms and rule induction. The rest of the chapters in this section discuss decision In this section talks about the state of the data mining industry and compares the present technologies to that of days in the recent past. The fourth section, Data Mining, introduces the topic by discussing its motivation, measuring its effectiveness, and by defining the difference between discovery and prediction. The chapters in this section also detail OLAP (what it is and and why it is necessary), introduces patterns and models for business analysis, explains different types of statisticalĪnalysis, and delves briefly into the technologies of expert systems and artificial intelligence. The authors talk about the need for developing reporting applications and then discuss many of the most recognized reporting and querying tools on the market The Business Analysis section of this book begins by breaking reporting and query tools into categories including reporting tools, managed query tools, executive information system (EIS) tools, The chapters go into tremendous details, discussing tool requirements and offering a look at tool-by-tool vendor-based solutions. Parallel processing architectures, selecting database schemas for decision support, the process of extracting, cleaning, and transforming data, and describes meta data as a key component of This section of the book details mapping the warehouse to the The second section, Data Warehousing, begins by detailing data warehousing components and the processes of building a data warehouse. This section builds a tremendous foundation of warehousing technology by detailing hardware architectures, multiprocessing architectures, and RDBMS features and The section continuesīy discussing distributed database management systems, and by individually offering an overview of major client/server RDBMS database environments such as Oracle, Informix, Sybase, IBM’s DB2,Īnd Microsoft MS-SQL Server. The Foundation section begins by introducing the data warehouse, presenting an overview of client/server architectures and presenting parallel processors and cluster systems. Starting general and moving to the specific, detailing at least five long chapters within each section. Each part goes into a tremendous amount of detail The book is broken into five parts, Foundation, Data Warehousing, Business Analysis, Data Mining, and Data Visualization and Overall Perspective.
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Single source, 2) supporting online analytical processing (OLAP), and 3) the newest data delivery engine, Data Mining.
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TheĪuthors use the forward to specify the three areas of data warehousing to be covered in the book as 1) bringing data necessary for enhancing traditional information presentation technologies into a Smith (Computing McGraw-Hill 1997), focuses on data delivery as a top priority in business computing today. Publisher: McGRAW-HILL (ISBN 0-07-006272-2)ĭata Warehousing, Data Mining, & OLAP, written by Alex Berson and Stephen J.