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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!

January 2011 Archives

2010 saw many mergers and new companies coming into foray. In the world of Data Warehouse Appliances, we saw a fair share too. IBM + Netezza, Teradata + Kickfire, Oracle + Sun, EMC + Greenplum, while Aster Data continued and Microsoft is emerging, we also see new entrants making the mark like ExtermeData. Bottom line here is "The Data Warehouse Appliance Is Here To Stay".

Whether you accept it or not, the new age of Business Intelligence (driven by increased consumer awareness from both an enterprise and its individual customers perspective) has put demand on Data Warehouses and their ability to execute both in real time and in history; add to this complexity the need driven by analytical queries (now the hunger fueled by In-Memory Analytical Applications), add to this the thought process of Social Media, Unstructured Data and much more to come.

Take this example,  you see a customer standing in an Electronics superstore looking at a 3D TV, and then running a barcode scan application on his smartphone to priceshop for the same item from local competetion, and get price and inventory information from competitors across the next 5 miles, you wonder wow where did we land and how did we get here.

This kind of query, analysis and retrieval is what will drive the Data Warehouse of the future. In this case the customer may buy the product here or elsewhere. But the company that wrote the scan application now has potential market research data that it can resell to the stores, manufacturers, distributors and more. In order to make that information consumable, they need a hardware platform and here is where many such organizations will start looking at fast, cheap and commodity platform.  A platform to scale, to compute with Hadoop or R and be able to relate to SQL very easily. This is the platform maturity that the data warehouse appliance is maturing to and very quickly.

Most of the vendors today can get you all the bells and whistles, the base idea is which one will fit your bill and your budget. More to come in next posting....

Posted January 11, 2011 10:23 PM
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