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Krish Krishnan

"If we knew what it was we were doing, it would not be called research, would it?" - Albert Einstein.

Hello, and welcome to my blog.

I would like to use this blog to have constructive communication and exchanges of ideas in the business intelligence community on topics from data warehousing to SOA to governance, and all the topics in the umbrella of these subjects.

To maximize this blog's value, it must be an interactive venue. This means your input is vital to the blog's success. All that I ask from this audience is to treat everybody in this blog community and the blog itself with respect.

So let's start blogging and share our ideas, opinions, perspectives and keep the creative juices flowing!

About the author >

Krish Krishnan is a worldwide-recognized expert in the strategy, architecture, and implementation of high-performance data warehousing solutions and big data. He is a visionary data warehouse thought leader and is ranked as one of the top data warehouse consultants in the world. As an independent analyst, Krish regularly speaks at leading industry conferences and user groups. He has written prolifically in trade publications and eBooks, contributing over 150 articles, viewpoints, and case studies on big data, business intelligence, data warehousing, data warehouse appliances, and high-performance architectures. He co-authored Building the Unstructured Data Warehouse with Bill Inmon in 2011, and Morgan Kaufmann will publish his first independent writing project, Data Warehousing in the Age of Big Data, in August 2013.

With over 21 years of professional experience, Krish has solved complex solution architecture problems for global Fortune 1000 clients, and has designed and tuned some of the world’s largest data warehouses and business intelligence platforms. He is currently promoting the next generation of data warehousing, focusing on big data, semantic technologies, crowdsourcing, analytics, and platform engineering.

Krish is the president of Sixth Sense Advisors Inc., a Chicago-based company providing independent analyst, management consulting, strategy and innovation advisory and technology consulting services in big data, data warehousing, and business intelligence. He serves as a technology advisor to several companies, and is actively sought after by investors to assess startup companies in data management and associated emerging technology areas. He publishes with the BeyeNETWORK.com where he leads the Data Warehouse Appliances and Architecture Expert Channel.

Editor's Note: More articles and resources are available in Krish's BeyeNETWORK Expert Channel. Be sure to visit today!

In the last year there has been a lot of buzz about "Big Data" and its vast resources that can provide unmatched value and insights when mined for information. The question is the amount of data we are talking about mining and the time it will take to create the data structures to drive metrics and KPI's from this data? this time lapse will cost opportunities and often has been the entry barrier for "big data" adoption in many companies today.

In this world of chaos, is where we will see the strength of a nascent area of data architecture called Taxonomies. Taxonomies themselves are very popular since the early days of Aristotle, and have even been found referenced in the writings of Chinese emperor's in 3000 B.C. The word is derived from the Greek language and means classifying and identifying species. It has been used in Biology and Language for many years.

Today we have Taxonomies available for every product and subject area in the world, thanks to companies like Wand Inc, Pingar and others. These taxonomies  provide a clear metadata lineage and relationship map, which can be directly used on any kind of data to navigate and classify the same. Another benefit of taxonomies is the ability to integrate different types of data about the same subject and create powerful mashups.

The biggest advantage in using taxonomies is your ability to navigate data in its native forms without having to transport it to a single location, this removes latencies and creates minimal integration work. A second advantage lies in the fact that you can navigate multiple subject dimensions in one document or video or picture, without reprocessing the data multiple times over.

In the land of "big data", you can discover hidden nuggets of information with this approach and then create powerful visualization using light weight reporting tools like Tableau or SpotFire.

To learn more on these subjects and their usage, attend EDW 2012, TDWI and Strata Conferences.

Posted April 15, 2012 4:19 PM
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