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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!

July 2013 Archives

Last few months have been extremely busy on my calendar and one of the factors was the interview that I did with EnterpriseWeb and its cofounders Dave Duggal and Bill Maylk. This startup is having a vision of the next generation platform, where everything that happens in an organization is an event that can be indexed and searched by any business user at any point in time, and an adaptive platform is needed to provide the scalability and flexibility of this demand.

The platform that is built to handle the demands of a modern enterprise class workload, shows  the best in class architecture of combining the Zachman Architecture approach with web style REST API's and a semantic framework that can provide access to any data within the enterprise. This architecture also boasts of highly secure approach to protecting information that makes it a robust approach especially at the enterprise level.

The EnterpriseWeb platform has no compile time versus run time architecture, due to the fact that events occur in an enterprise in real-time. The underlying platform supports late binding features that make it simple to define and design dynamic applications that can provide value of high scale and magnitude to the end user.

Another feature of the architecture that is very impressive is the unified repository that surpassed expectations when it came to performance and scalability. The concept of one architecture for everybody simplifies the fact that many metadata management processes need to be implemented and followed in the enterprise. This approach in my opinion is the best way to manage semantic data in any size of organization.

Enterprise data today means data from within the enterprise and outside the enterprise including social media, web forums, 3rd party data, competitive intelligence data and more. In this model of data integration integrating data is relatively simple compared to traditional architecture approaches and one can build adapters for each type of data that needs to be integrated into the enterprise.

The overall goal of this company is to provide a new platform for the next generation architecture and after seeing the product demo and underlying architecture, it is definitely a robust and scalable architecture that can meet those goals. Feel free to visit the website and learn more. As I learn more about this architecture, I will post details in my blog or article.

Posted July 15, 2013 10:29 PM
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