Fundamentals of Data WarehousesData warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses. |
Contents
I | 1 |
II | 2 |
III | 4 |
IV | 5 |
V | 6 |
VI | |
VIII | 1 |
X | 2 |
LI | 73 |
LII | 75 |
LIII | 77 |
LIV | 78 |
LVI | 79 |
LVIII | 80 |
LIX | 82 |
LX | 83 |
XI | 3 |
XIII | 5 |
XIV | 7 |
XV | 13 |
XVI | 14 |
XVII | 15 |
XVIII | 16 |
XIX | 18 |
XX | 22 |
XXI | 23 |
XXII | 23 |
XXIII | 23 |
XXIV | 23 |
XXV | 23 |
XXVI | 23 |
XXVIII | 23 |
XXIX | 24 |
XXX | 27 |
XXXI | 28 |
XXXII | 34 |
XXXIII | 35 |
XXXIV | 36 |
XXXVI | 37 |
XXXVII | 39 |
XXXVIII | 40 |
XXXIX | 43 |
XL | 45 |
XLII | 49 |
XLIII | 52 |
XLIV | 55 |
XLV | 59 |
XLVI | 62 |
XLVII | 64 |
XLVIII | 67 |
XLIX | 70 |
L | 71 |
LXI | 87 |
LXII | 91 |
LXIII | 93 |
LXIV | 94 |
LXV | 95 |
LXVII | 97 |
LXVIII | 98 |
LXIX | 99 |
LXX | 101 |
LXXI | 102 |
LXXII | 103 |
LXXIII | 105 |
LXXIV | 105 |
LXXV | 105 |
LXXVI | 105 |
LXXVII | 105 |
LXXVIII | 105 |
LXXIX | 105 |
LXXX | 105 |
LXXXI | 105 |
LXXXII | 105 |
LXXXIII | 105 |
LXXXIV | 105 |
LXXXV | 105 |
LXXXVII | 105 |
LXXXVIII | 105 |
LXXXIX | 105 |
XC | 105 |
XCI | 105 |
XCII | 105 |
XCIII | 105 |
XCIV | 105 |
XCV | 121 |
XCVI | 125 |
XCVII | 133 |
Other editions - View all
Fundamentals of Data Warehouses Matthias Jarke,Maurizio Lenzerini,Yannis Vassiliou,Panos Vassiliadis Limited preview - 2013 |
Fundamentals of Data Warehouses Matthias Jarke,Maurizio Lenzerini,Yannis Vassiliou,Panos Vassiliadis No preview available - 2014 |
Common terms and phrases
activities aggregation algorithms analysis applications approach attributes change monitor Chevy client Code components compute conceptual modeling consistency constraints data cleaning data cube data integration data marts data quality data source data stores data warehouse design Data Warehouse Quality data warehouse schema data warehousing database system defined description logics domain enterprise model evaluation event example execution formalisms function global groups hierarchy implementation incremental indexes information sources Information Systems materialized views MDDB mediator metadata metamodel MOLAP multidimensional data models multidimensional database OLAP OLTP operations performance perspective problem quality factors quality goals Quality management query optimization records refreshment process relational database repository requirements ROLAP rules schemata semantics server source data source integration source model specific star schema strategy structure techniques tion transaction triggers tuples update propagation values view maintenance ware wrapper