Building a Data Warehouse With Examples in SQL Server
Details E-Book
Publisher : Apress, Language : English, ISBN : 1590599314, Paperback : 523 pages, Date : Dec 2007, Format : PDF
E-Book Description
Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The RDBMS used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later.
CHAPTER 1 Introduction to Data Warehousing
CHAPTER 2 Data Warehouse Architecture
CHAPTER 3 Data Warehouse Development Methodology
CHAPTER 4 Functional and Nonfunctional Requirements
CHAPTER 5 Data Modeling
CHAPTER 6 Physical Database Design
CHAPTER 7 Data Extraction
CHAPTER 8 Populating the Data Warehouse
CHAPTER 9 Assuring Data Quality
CHAPTER 10 Metadata
CHAPTER 11 Building Reports
CHAPTER 12 Multidimensional Database
CHAPTER 13 Using Data Warehouse for Business Intelligence
CHAPTER 14 Using Data Warehouse for Customer Relationship Management
CHAPTER 15 Other Data Warehouse Usage
CHAPTER 16 Testing Your Data Warehouse
CHAPTER 17 Data Warehouse Administration
APPENDIX Normalization Rules
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permisi gan, saya baru saja menulis tentang fungsi autocorrelation untuk penentuan pola data time series apakah musiman, tren, atau stationer, di artikel berikut: http://datacomlink.blogspot.com/2015/12/data-mining-identifikasi-pola-data-time.html yang ingin saya tanyakan, apakah ada teknik lain untuk mencari pola data time series selain fungsi autocorrelation ya gan? terima kasih