The Forrester Muse
AUG 10, 2012 1:46pm ET

Related Links

How Not To Do Big Data in Health Care
April 11, 2014
Collaboration Important to Big Data Analytics Success
April 9, 2014
From Big Data to Just Data
April 8, 2014

Web Seminars

April 29: Create a data protection strategy with open, software-defined storage
April 29, 2014
New Best Practices To Manage Customer Information
May 7, 2014
May 13: Cost-effective, scale-out backup in 1 solution
May 13, 2014
blog

Is Big Data Really What You’re Looking For?

Print
Reprints
Email

Do you think you are ready to tackle Big Data because you are pushing the limits of your data Volume, Velocity, Variety and Variability? Take a deep breath (and maybe a cold shower) before you plunge full speed ahead into unchartered territories and murky waters of Big Data. Now that you are calm, cool and collected, ask yourself the following key questions:

  1. What’s the business use case? What are some of the business pain points, challenges and opportunities you are trying to address with Big Data? Are your business users coming to you with such requests or are you in the doomed-for-failure realm of technology looking for a solution?
  2. Are you sure it’s not just BI 101? Once you identify specific business requirements, ask whether Big Data is really the answer you are looking for. In the majority of my Big Data client inquiries, after a few probing questions I typically find out that it's really BI 101: data governance, data integration, data modeling and architecture, org structures, responsibilities, budgets, priorities, etc. Not Big Data.
  3. Why can’t your current environment handle it? Next comes another sanity check. If you are still thinking you are dealing with Big Data challenges, are you sure you need to do something different, technology-wise? Are you really sure your existing ETL/DW/BI/Advanced Analytics environment can't address the pain points in question? Would just adding another node, another server, more memory (if these are all within your acceptable budget ranges) do the trick?
  4. Are you looking for a different type of DBMS? Last, but not least. Do the answers to some of your business challenges lie in different types of databases (not necessarily Big Data) because relational or multidimensional DBMS models don’t support your business requirements (entity and attribute relationships are not relational)? Are you really looking to supplement RDBMS and MOLAP DBMS with hierarchical, object, XML, RDF (triple stores), graph, inverted index or associative DBMS?

Get access to this article and thousands more...

All Information Management articles are archived after 7 days. REGISTER NOW for unlimited access to all recently archived articles, as well as thousands of searchable stories. Registered Members also gain access to:

  • Full access to information-management.com including all searchable archived content
  • Exclusive E-Newsletters delivering the latest headlines to your inbox
  • Access to White Papers, Web Seminars, and Blog Discussions
  • Discounts to upcoming conferences & events
  • Uninterrupted access to all sponsored content, and MORE!

Already Registered?

Advertisement

Comments (3)
Boris, great insight. With the explosion of big data, companies are faced with data challenges in three different areas. First, you know the type of results you want from your data but it's computationally difficult to obtain. Second, you know the questions to ask but struggle with the answers and need to do data mining to help find those answers. And third is in the area of data exploration where you need to reveal the unknowns and look through the data for patterns and hidden relationships. The open source HPCC Systems big data processing platform can help companies with these challenges by deriving insights from massive data sets quick and simple. Designed by data scientists, it is a complete integrated solution from data ingestion and data processing to data delivery. More info at http://hpccsystems.com
Posted by HAANA M | Tuesday, August 14 2012 at 9:16AM ET
Add Your Comments:
You must be registered to post a comment.
Not Registered?
You must be registered to post a comment. Click here to register.
Already registered? Log in here
Please note you must now log in with your email address and password.

Are you actively evaluating master data management technologies and their ability to scale and support emerging trends around big data, social and mobile?

Yes 61%
No 23%
Don't Know 9%
Not Applicable 6%

 

Twitter
Facebook
LinkedIn
Login  |  My Account  |  White Papers  |  Web Seminars  |  Events |  Newsletters |  eBooks
FOLLOW US
Please note you must now log in with your email address and password.