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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!

One of the hottest topics trending today is the user adoption to in-memory data-stores. While in-memory has been around for more than 20 years, there are several significant events leading to its widespread adoption, and the most common among them include

  • Big Data
  • Commoditization of Infrastructure
  • Emergence of NoSQL databases

In a recent conversation with Roger Gaskell, the CTO of Kognitio, I had an opportunity to hear their vision for the future. It is interesting to hear that the queries and users coming to Kognitio are looking to adopt the architecture as an in-memory datastore to their existing EDW or new Big Data environment.

It is not a well known fact that Kognitio had been designed as in-memory data store in its original avatar as WhiteCross (there are several mentions in the web if you are interested). In the first 20 years of its existence, the company could not bring the in-memory design to forefront due to the cost factors  The UK based company had been accepted as a second generation DW Appliance, though going by fellow analyst records, their customer base was not a publicly available artifact. I had mentioned them in my coverage of DW Appliance industry since 2007 and they have continued to remain a part of that space.

Roger briefed me about the Cloud based model from Kognitio and discussed their recent partnerships with Allteryx and HortonWorks from a big data extension perspective. In a typical Big Data solution architecture, we can see how Kognotio will fit into the big picture. Remember that you need to create a heterogenous solution to become scalable and flexible.

While Kognitio may not have a deep pockets of another in-memory vendor SAP. Their technology is something taking a look at, especially if you are non-SAP environment.

Roger cited some clients who were already engaged in the technology evaluation for Big Data platform from an in-memory perspective. However the client names are under NDA and were not disclosed. Going by the recent spate of announcements from Kognitio and its partners, the indications are that the latest trend is in Kognitio's direction. Let us see how this evolution continues.

We will look at other technologies in this series later this week into next.

Posted July 23, 2012 5:31 PM
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