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Mondrian in Action: Open Source Business Analytics (Englisch) Taschenbuch – 12. September 2013


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Über den Autor und weitere Mitwirkende

AUTHOR BIO Bill Back is an Enterprise Architect with Pentaho. He implements custom solutions using Mondrian as well as embedding and extending the system to meet the needs of a wide variety of industries. He also trains clients on the use of Mondrian and other Pentaho tools. Nicholas Goodman is a Business Intelligence geek, consultant, hacker, blogger, speaker and entrepreneur. Nicholas founded and served as CEO of DynamoBI where he spent his days racing analytic databases and promoting LucidDB. He's worked on more than 50 Open Source BI customer implementations and has authored multiple training courses on OLAP, Mondrian, and Open Source BI. Julian Hyde founded the Mondrian project in 2001. He continues as the project's lead developer, and as OLAP Architect at Pentaho. He has developed several database technologies over the years. He also has an active interest in emerging high-performance data management technologies and participates in several other open source projects.

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Amazon.com: 7 Rezensionen
4 von 4 Kunden fanden die folgende Rezension hilfreich
Good detailed content with minor flaws 6. Oktober 2013
Von Michael J. Ciccotti - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Who this book is for:

The first thing to note about this book is that it would have more appropriately been named something like Mondrian With Pentaho in Action. The Mondrian engine (which is open source) can be used in a stand-alone fashion or with another system, but the book focuses almost entirely (other than chapter 9) on using it with Pentaho (commercial open source-community and enterprise editions). This doesn't mean the book is only useful to users of Pentaho, since the majority of the material on setting up Mondrian, security and the data would be useful without Pentaho.

Things the book does well:

1. It does a good job of leading readers to the material they will want to read by providing a table (in the "about this book" section) of which chapters would be useful to which type of readers (Business Analysts, Data Architects, Enterprise Architects, Application Developers)

2. It contextualizes the material presented by giving some of it in story form

3. Lots of specific instructions on how to use Mondrian (code examples, schema examples etc)

Things the book does poorly:

1. Captions are embedded inline rather than being next to their associated figure. This may simply be because I was reading in on my iPad rather than as a hardcopy. Example: on page 9 there are descriptions of Figures 1.5, 1.6 and 1.7. Figure 1.5 is on page 9 while Figures 1.6 and 1.7 are on page 10.

2. Some terms are used before they are defined and explained. Example: on page 27 the term "cube" is used, but it isn't explained until page 61.

3. The book was written by an employee of Pentaho and focuses on the Pentaho analytics platforms. Maybe it's because I'm not particularly familiar with Mondrian so perhaps this is because I'm not familiar with the Mondrian community, but the book feels like an advertisement for Pentaho at times.

Overall a very useful book for getting all users of Mondrian (with Pentaho) up and running.
clear and concise reference for multiple audiences 28. März 2014
Von mbd - Veröffentlicht auf Amazon.com
Format: Taschenbuch
everywhere you look these days it seems people are trying to make sense of big data, even if it is only big to them. for business, research, or any other application, having the tools to quickly get a feel for what the data is telling you is invaluable.

there are lots of choices out there today, from cheap and cheerful spreadsheets to full business intelligence platforms and lots in between. depending on your needs, you might be able to get by with a quick spreadsheet or an analytical software package (like python, R, etc). but unless you happen to be in a company full of highly trained data analysts (and i am not), it makes sense to have a tool that just about anyone can use.

mondrian in action is an excellent reference, with a handy quick start guide at the front for the different audiences that might be using the book. are you a business analyst? why troll through chapters outlining syntax in the middle of the book? chapters 1,2,9, and 11 are for you. application developer? chapters 1,2,8,9, and 10. it's great to not have to guess, and if you are really curious, or just can't manage to get to sleep on that flight, by all means, dig in to those other chapters.

i found the writing clear, and the examples covered most of the relevant ideas and concepts. as it seems a number of my fellow reviewers have already given a fairly complete chapter by chapter summary, i will not bore you with the same.

what i would like to have seen is a bit more information on how to use mondrian outside of the pentaho platform. i found the installation instructions in the book (and even on the mondrian website) a bit too sparse to get it up and running quickly. it took me the better part of a day and a half to get it all up and running. a 'from first principles' would have been really helpful.
Solid Overview and Reference - But Beware that Mondrian 4 is not yet in GA Status (Jan. 2014) 29. Januar 2014
Von John Fandl - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This is a great book if you are a BI Developer or BI Analyst new to Mondrian. It provides good context for the BI beginner, and enough detailed examples for the practitioner.

One potential "gotcha" (depending on when you read this) is that the book references some features (like Measure Groups and explicit aggregate tables) that are only available in Mondrian 4. This is explicitly noted; however, Mondrian 4 is not generally available (as of end of Jan. 2014), and the book talks about it as if it is already available. Worse, there is no information online re: when version 4 will be GA. So, don't be surprised if measure groups don't work for you.

The appendix is very good, but misses calling out the SimbaO2X driver, which lets you connect Excel and other products to Mondrian. Some BI users (especially in finance and marketing) prefer Excel as their BI front end, and that driver lets you leverage Mondrian for that use case
Great reference book 21. Januar 2014
Von Amazon Customer - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This book is a great book for beginners interested in Mondrian. It helped with getting up and running using Mondrian with Pentaho. The book goes into detail about the different members in the organization who may use data within the organization. The Appendices were very informative providing more information on getting started with Mondrain and the Pentaho BI suite and giving links to other references. The only draw back I see with the book was the pushing of the Pentaho Suite. Other than that a great reference for learning Mondrian.
Mondrian in Action: finally, a good reference. 7. November 2013
Von M. S. Dathorne - Veröffentlicht auf Amazon.com
Format: Taschenbuch
As a java developer and having had some previous experience of the Pentaho BI Suite, I found this book, on the whole, interesting and relevant. The book attempts to provide salient information for all of the IT roles that deal directly with data and IMO I think it does a great job. It's really good at last to find a resource with so much information.

I think that the key chapters to get up and running are chapters 1, 2, 3 in conjunction with the Appendices. Chapters 4, 5, 7 give you in depth detail to get more from this tool. Chapters 6 you process as you need to! Chapters 9, 10 & 11 are the real revelation. There is much to learn.

The style of being in a fictional company which changes its requirements over time is very practical. I also liked the use of What If scenarios towards the end of the book. There is much detail to absorb. There is also a really comprehensive list of very good references in the Appendices.

The subject has definitely raised my awareness for where this type of reporting could be used and I've found a few areas where I'd like to take this further.

For anyone who uses Mondrian already or wants to start using Mondrian or just needs to know about Mondrian, this is the reference book to have.

Chapter 1. Beyond reporting: business analytics
This chapter goes into the basics of analytical reporting. Explains on how Mondrian fits in and its use with Pentaho. We get an intro to OLAP databases and Mondrian's compatibility with many databases.

Chapter 2. Mondrian: a first look
This chapter gives an intro to MDX & Saiku which I'd never heard of. Goes into creating reports and defining Cubes & Measures. This information (alongside the details in the Appendices) is all you need to get started especially since a downloadable Linux VM is provided with a ready-made environment.

Chapter 3. Creating the data mart
This chapter goes into data modelling & the use of preferred modelling technique: star schemas. Takes a look at transactional systems & analytics. Introduces Fact & Dimension tables and the use of Time dimensions. Triggered me to analyse some of our database design (at work) and where improvements can be made.

Chapter 4: Multidimensional modelling: making analytical data accessible
This chapter goes into further modelling and getting into comprehensive XML schemas. Explains some of the elements of XML, simple cube setup, the use of Cubes & Schemas. Also Physical & Logical schemas and Hierarchies. Very informative and useful.

Chapter 5: How schemas grow.
This chapter provides much more information on schema elements. Introduces the concept of Measure groups. A good reference point.

Chapter 6: Securing data.
This chapter explains how security works and how to set up a structure that controls which levels of data can be accessed by relevant groups. Very useful info even though it's the last thing I wanted to look at when I just want to start playing with the tool!

Chapter 7: Maximizing Mondrian performance.
This chapter gives some pointers on Performance Tuning the database such as the use of Aggregate tables, takes a deep look at different types of Caching & brief intro to XMLA.

Chapter 8: Dynamic security.
This chapter gives some pointers such as the use of Aggregate tables and takes a deep look at different types of Caching.

Chapter 9: Working with Mondrian & Pentaho.
This chapter gives a small intro to each Pentaho component including Pentaho Analyzer which is the odd one out as it's part of the Enterprise edition.

Chapter 10: Developing with Mondrian.
This chapter gets down and dirty into how to include Mondrian within application and the use of OLAP4J library. Very good detail and excellent examples with sample code. This is what we need! I'd never heard of the XML4JS library. There's plenty to be getting on with here!

Chapter 11: Advanced analytics.
This chapter has an in depth discussion on analytics. Goes into compatible analytic databases and further into MDX and calculations.
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