TY  - BOOK
AU  - Kimball,Ralph
AU  - Caserta,Joe
TI  - The data warehouse ETL toolkit: practical techniques for extracting, cleaning, conforming, and delivering data 
SN  - 0764567578 
U1  - 658.4038 22
PY  - 2004///
CY  - Indianapolis, IN
PB  - Wiley
KW  - ALMACENAMIENTO DE DATOS
KW  - DISEÑO DE BASE DE DATOS
N1  - Includes index; Introduction	
Overview of the Book: Two Simultaneous Threads	
The Planning & Design Thread	
The Data Flow Thread	
How The Book Is Organized	
Who Should Read this Book	
Summary	
Part I	
Requirements, Realities, and Architecture	
Chapter 1	
Surrounding the Requirements	
Requirements	
Architecture	
The Mission of the Data Warehouse	
The Mission of the ETL Team	
CHAPTER 2	
ETL Data Structures	
To Stage or Not To Stage	
Designing the Staging Area	
Data Structures in the ETL System	
Planning and Design Standards	
Summary	
Part II	
Data Flow	
CHAPTER 3	
Extracting	
Part 1: The Logical Data Map	
Inside the Logical Data Map	
Building the Logical Data Map	
Integrating Heterogeneous Data Sources	
Mainframe Sources	
Flat Files	
XML Sources	
Web Log Sources	
ERP System Sources	
Part 3: Extracting Changed Data	
Summary	
CHAPTER 4	
Cleaning and Conforming	
Defining Data Quality	
Assumptions	
Part 1: Design Objectives	
Part 2: Cleaning Deliverables	
Part 3: Screens and Their Measurements	
Part 4: Conforming Deliverables	
Summary	
chapter 5	
Delivering Dimension Tables	
The Basic Structure of a Dimension	
The Grain of a Dimension	
The Basic Load Plan for a Dimension	
Flat Dimensions and Snowflaked Dimensions	
Date and Time Dimensions	
Big Dimensions	
Small Dimensions	
One Dimension or Two	
Dimensional Roles	
Dimensions as Subdimensions of Another Dimension	
Degenerate Dimensions	
Slowly Changing Dimensions	
Type 1 Slowly Changing Dimension (Overwrite)	
Type 2 Slowly Changing Dimension (Partitioning History)	
Precise Time Stamping of a Type 2 Slowly Changing Dimension	
Type 3 Slowly Changing Dimension (Alternate Realities)	
Hybrid Slowly Changing Dimensions	
Late Arriving Dimension Records and Correcting Bad Data	
Multi-Valued Dimensions and Bridge Tables	
Ragged Hierarchies and Bridge Tables	
Technical Note: POPULATING HIERARCHY BRIDGE TABLES	
Using Positional Attributes in a Dimension to Represent Text Facts	
Summary	
chapter 6	
Delivering Fact Tables	
The Basic Structure of a Fact Table	
Guaranteeing Referential Integrity	
Surrogate Key Pipeline	
Fundamental Grains	
Preparing for Loading Fact Tables	
Factless Fact Tables	
Augmenting a Type 1 Fact Table With Type 2 History	
Graceful Modifications	
Multiple Units of Measure In A Fact Table	
Collecting Revenue In Multiple Currencies	
Late Arriving Facts	
Aggregations	
Delivering Dimensional Data to OLAP Cubes	
Summary	
Part III	
Implementation and Operations	
chapter 7	
Development	
Current Marketplace ETL Tool Suite Offerings	
Current Scripting Languages	
Time Is of the Essence	
Using Database Bulk Loader Utilities to Speed Inserts	
Managing Database Features to Improve Performance	
Troubleshooting Performance Problems	
Increasing ETL Throughput	
Summary	
chapter 8	
Operations	
Scheduling and Support	
Migrating to Production	
Achieving Optimal ETL Performance	
Purging Historic Data	
Monitoring the ETL System	
Tuning ETL Processes	
ETL System Security	
Short Term Archiving and Recovery	
Long Term Archiving and Recovery	
Summary	
chapter 9	
Metadata	
Defining Metadata	
Business Metadata	
Technical Metadata	
ETL-Generated Metadata	
Metadata Standards and Practices	
Impact Analysis	
Summary	
chapter 10	
Responsibilities	
Planning and Leadership	
Managing the Project	
Summary	
Part IV	
Real Time Streaming ETL Systems	
chapter 11	
Real Time ETL Systems	
Why Real-Time ETL?	
Defining Real-Time ETL	
Challenges and Opportunities of Real-Time Data Warehousing	
Real-Time Data Warehousing Review	
Categorizing the Requirement	
Real-Time ETL Approaches	
Summary	
chapter 12	
Conclusions	
Deepening the Definition of ETL	
The Future of Data Warehousing and ETL in Particular
ER  -