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Rick van der Lans

Welcome to my blog where I will talk about a variety of topics related to data warehousing, business intelligence, application integration, and database technology. Currently my special interests include data virtualization, NoSQL technology, and service-oriented architectures. If there are any topics you'd like me to address, send them to me at rick@r20.nl.

About the author >

Rick is an independent consultant, speaker and author, specializing in data warehousing, business intelligence, database technology and data virtualization. He is managing director and founder of R20/Consultancy. An internationally acclaimed speaker who has lectured worldwide for the last 25 years, he is the chairman of the successful annual European Enterprise Data and Business Intelligence Conference held annually in London. In the summer of 2012 he published his new book Data Virtualization for Business Intelligence Systems. He is also the author of one of the most successful books on SQL, the popular Introduction to SQL, which is available in English, Chinese, Dutch, Italian and German. He has written many white papers for various software vendors. Rick can be contacted by sending an email to rick@r20.nl.

Editor's Note: Rick's blog and more articles can be accessed through his BeyeNETWORK Expert Channel.

I am happy to announce that my book on data virtualization is available. It was a lot of hard work, but I am proud of the final result.

Early on in the writing process I decided to go for the business intelligence angle and not for a generic book on data virtualization. This explains the title Data Virtualization for Business Intelligence Systems. It allowed me to dive deep with respect to BI-related topics, such as data quality, data integration, effects on data marts, and the impact on data profiling.

Writing a book requires a lot of studying. It means you have to seriously structure and order your knowledge of a topic. Some of that studying leads to great insights. I got some very useful insights when studying for the chapter on design guidelines for data virtualization. In the IT industry many new technologies are introduced every year. Just think about big data, NoSQL, cloud, and so on. But what strikes me is that most of these new technologies are introduced without giving customers any design guidelines. It's up to them to use a trial and error approach to find the proper guidelines, which is an expensive and time-consuming way of discovering how to use new technology the best way.

Therefore I decided to include a chapter in the book on design guidelines when using data virtualization servers. Examples of guidelines are:

  • How to handle incorrect data.
  • Dealing with different users using different definitions for the same concepts.
  • Retrieving data from production systems and the potential interference that results from that.
Hopefully, this chapter will trigger others to come up with more and possibly even better guidelines. I think it's important that when new technology is introduced, guidelines exist.

It was fun to write this book, and I hope it will help to introduce data virtualization in the BI industry, because this technology deserves more attention.


Posted September 10, 2012 12:35 AM
Permalink | 1 Comment |

1 Comment

We have four copies on the way for our team. As both Kenny and I will be at the October 10 "Data Virtualization Day" in is New York, I plan to have it read by then. Thank you for putting your insights on to paper, Rick. You prior writings and presentations have been extremely influential in the way we are developing our data virtualization layer. I am looking forward with eager anticipation to reading your new book and expect to begin applying what I learn pretty much immediately.

Andy

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