The leaders of
industry data storage, known as the most effective and respected throughout the
world, Ralph Kimball and Kimball Group to define the area of ? Data storage 250
that contains the articles written on the subject. For the first time, the
board Kimball Group's unique design tips and best practices, covering a decade
of innovation in data storage, articles collected in this extraordinary
collection.
Kimball is a
global life-cycle methodology developed by the original with comments explaining
the roles of each group of items offered. This practical, hands-product fully
reflects current practices and terminology planning and project requirements
gathering, dimensional modeling, ETL and business intelligence and analysis,
including updates for cover the entire life cycle.
In any capacity,
whether or not related to data storage and business intelligence is nothing
more important for the easy reference of this collection.
Detailed data
and storage practices and business intelligence, most authoritative guides to
the collection
Over the past 15
years, Ralph Kimball and his team, his friends a unique data warehouse (DW) in
the field have come to define the topic with more than 250 articles I wrote.
Kimball, group thinking and practices to reflect the reader, most of these
articles have completely updated. Project planning, requirements gathering,
dimensional modeling, ETL and Business Intelligence (BI) and analysis,
including full life cycle, the lining, the authors go beyond Toolkit extends the
detailed requirements and provide technical advice to new ideas and best
practices.
Ideas drive data
storage and the principles established by a group of articles begin. The
following content is available for your own projects, with a deep and practical
guide gives detailed information on each stage of the life cycle of data
storage. After the project, including needs and business planning, the authors,
while taking a bath in three dimensions. Articles in over 100 one-dimensional
modeling. These items are fully revised and updated as necessary to reflect
best practices established by the Kimball Group, has been extended.
Design, implementation, and the reader is
Kimball Group DW / BI, recommended to protect the critical success with unique
items
- Dos and don'ts for collecting requirements
- Kimball, enterprise data storage and matrix architecture
- Duties and Responsibilities dimensional modeling
- In fact, the basic concepts of the table and dimension table
- Sizes of data management are not appropriate
- Granularity, and indeed the three basic types of table
- Snowflakes and stabilizers
- Value and characteristics of multiple hierarchies of unequal size, data transfer and bridges
- Customer size and scope Shadow of internationalization
- Slow development and size of the hybrids
- Subsystems (ETL), Extract Transform and Load
- Advantages and disadvantages of using a commercial ETL tool
- Focused analytics server architecture, data management, and packaged
- Forequarter BI applications and data mining
- Techniques mature DW / BW environment, evaluation, and return to the road
About the Author
Ralph Kimball,
Ph.D., founder of Kimball and a visionary leader in data storage industry.
Kimball, Margy
Ross, group president since 1982 and only the solutions DW / BI focused on.
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