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Overview
  • How are reviewers describing this item?
    each, good, clear and technical.
  • Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
  • Our engine has determined that the review content quality is high and informative.
  • Our engine has discovered that over 90% high quality reviews are present.
  • This product had a total of 32 reviews as of our last analysis date on Feb 25 2020.
Details

BETA

Most positive reviewquestion

Great cook book for wha tis included in a BI solution

Least positive reviewquestion

Desques que tuve la oportunidad de leer el libro de la Sra. Atre (DATA BASE) no me ha quedado nunca la menor duda de su gran pr...  Read More

Most authentic reviewquestion

I bought this book to prepare for my Certified Business Intelligence Professional (CBIP) certification exam. It covers the whol...  Read More

Least authentic reviewquestion

Not enough review data to provide meaningful insight.


Helpful Insights

BETA

    Posted by a reviewer on Amazon

    The book gives a clear picture of the entire roadmap.


    Posted by a reviewer on Amazon

    This isn't a technical book that talks in detail about how to solve design problems.


    Posted by a reviewer on Amazon

    The book structure is well designed: each chapter covers a different stage of bi projects using the same structure which includes useful practical things like project flow charts, project roles and risks.


    Posted by a reviewer on Amazon

    For example, dimensional modelling only takes two short paragraphs that are absolutely insufficient to teach a designer how to use it in practical situations.


    Posted by a reviewer on Amazon

    Even with these limitations this is a good and useful book, and it's clear that the two authors (shaku atre e larissa t.


    Posted by a reviewer on Amazon

    All areas are at least touched upon if not covered in greater detail.


    Posted by a reviewer on Amazon

    A key feature is that at the start of each chapter is a ticklist of action items to do or at least be aware of, for that chapter's topic.


    Posted by a reviewer on Amazon

    For me, the most relevant sections were those describing metadata and how this is commonly defined and used by people in the data mining/business intelligence community.

Review Count History
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