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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!

Pretty soon we can start having Weathermen saying alerts such as "Data Storm" or "Data Blizzard" is headed towards cities and associated details, and I mean this with all seriousness. The bizzare volume of data growing in the public domain is just too much to comprehend for a human mind. The frenzy for generating data comes with continuous innovation in mobility, wireless communications, stronger infrastructure and an ever ready audience to listen. If you want to know what is happening in a particular celebrity's personal life at any given moment, you can find a million social media sites, forums and more; if you want to know where the next internet led revolution will start, you can keep tuned into multiple facebook pages, multiple social media sites. The point is as facilities increase in scalability and technology is more affordable, you will have more data producers then data consumers, and more relevant will be the question of "what is noise and what is real information"?.

Data generation is not a bad idea, but who uses that data and how useful can that data be is a question of relevance. If you are on Facebook and post every hour to your page, chances are someone in your primary or extended network will be watching it or posting on your wall or something. Those critical transactions are needed for FB to run ads and look at influencer behaviors etc, they really do not care about the personal side of the data at all.

Now lets take a look at a consumer's own behavior,for example ( to make it easy)  how much of value do you see from data in your FB pages, and how much do you care about the data, say after one day, week, month or year ? you really do not think about it, as you are using the platform for free (actually paying for it in some very indirect way). This is why the need to look for Data Storms in the future.

The information overload from the public domain data that is produced for content sharing and sentiment sharing is causing a tizzy. There is value for points in time in this data, but where is it stored? who needs it? and does it make sense to keep it? what are the security threats for this data? Thus comes the big question of "Data Governance for Public Data". Sooner or later, we need to address this question and guess what I recommend that it be a decision that is driven and defined by the same consumers who generate the data everyday, as it is about their information privacy, security and more.

But till then, let's watch for weathermen to announce Data Storms or Data Weather Readings.

Posted November 30, 2011 9:24 AM
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