We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.

Blog: Krish Krishnan Subscribe to this blog's RSS feed!

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!

I'm getting a lot of questions from audiences about Big Data - what is it? Hadoop - what is this? and more importantly why do i need to understand this now? will it be needed for my organization?. Bottom line is that the user community is completely befuddled with the whole Big Data and Hadoop messages. Let us take a step back and clear the slate.

What is Big Data? in a true sense, data that has been used to make decisions with respect to your business - transactional, spreadsheets, emails, campaigns, sales-force, call center, competitive intelligence, analytics, legal contracts, manuals, web data, consumer forums, content management systems and more form the foundation for Big Data. Another dimension to view this is data that lies outside of transactional and EDW systems, that influence your business decisions and provide you insights into the consumer and product behavior is also called Big Data, as it has no defined structure or storage mechanism. Big Data is big in terms of size, volume and complexity independent of Time.

Now let us come to Hadoop, it is a software solution framework, distributed by Apache foundation. The architecture of Hadoop lends to distributed and parallel computing techniques, by which you can manage massive volumes of data and process it to harness the underlying value in a relatively manageable time. Hadoop is an ecosystem as it is a community developed project and has continued contributions from the community of developers.

Is Big Data worth pursuing for any organization? very much yes. But like any other solution you need a strong business case to implement this type of program. You need a very strong governance model to analyze the type of data you want and what business value will it bring to the organization. It is a maturity journey, and it is not a turnkey solution to switch on a technology from any vendor and declare victory.

Do I need to use Hadoop and learn everything it has as a framework? well if you have to yet start the Big Data journey, all RDBMS and DW Appliance vendors are working on a race against time to bring Hadoop integration via your favorite DB platform. But even after that integration is complete from the given vendor, you still need to understand how Hadoop works and what type of problems will it solve, you will need to understand TextualETL and how you can write business rules in English to process text data of any type and much more. But the silver lining in this cloud of complexity is, all these technologies are evolving and will mature by the time you are ready to adopt them. They are all GUI driven and self managing, they all address problems that your current RDBMS or EDW platforms cannot resolve.

Two words of advise, Learn everything you can about these topics, sort out Blather and Real Information on these topics.

Remember not every business is Facebook or Twitter or FourSquare, but every business will evolve in the future to adopt similar models to emerge Customer Centric. As you start this journey, remember it is a Continuum and has multiple stages of maturity.

Posted December 15, 2011 8:38 PM
Permalink | No Comments |

Leave a comment