Noodling on NoSQL: Thoughts on Multi-Structured Data Management
FEB 20, 2014 4:18pm ET

Related Links

Data Acceleration: A Technology Architecture for High Speed Insights
September 12, 2014
How Banks Are Using Big Data to Set Deposit Rates
September 8, 2014
Using Big Data To Help Seniors Live Well
September 3, 2014

Web Seminars

Why Data Virtualization Can Save the Data Warehouse
September 17, 2014
Essential Guide to Using Data Virtualization for Big Data Analytics
September 24, 2014
Blog

Is There a Place for NoSQL in BI and Analytics?

Print
Reprints
Email

A question I receive quite a bit from people who are newly introduced to NoSQL platforms and the overall concept of multi-structured data sets is the following:

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 (7)
John,

Thanks for an excellent article. I agree, the most important thing is the question. This applies not only to connecting to NoSQL or Hadoop but also why you decide on a particular architecture in the first place. So it comes down to not what toy is the shiniest of newest but what helps you answer the questions that the business is asking over the long term.

I also want to amplify another point you bring up--"For advanced analytical practices, whether the data is structured or multi-structured, you often need to prepare the data for analytical models - so there is no reason that you cannot use multi-structured."

I would say that this is true for any type of analytics/data exploration/business intelligence/slice and dice/. --the vehicle that we are using to make sense of the data has its own input requirements. For example, Business Objects was originally designed to go against a RDBMS. As the need emerged it needed go against a cube structure.

So I view the problem of BI or Data Visualization tools going against a new architecture. The broader question is, how do I access and modify the data in a particular source to conform with the requirements of the tool that I need to answer the business question.

Posted by Wayne A | Friday, February 21 2014 at 11:28AM ET
John, Thanks for an excellent article. I agree, the most important thing is the question. This applies not only to connecting to NoSQL or Hadoop but also why you decide on a particular architecture in the first place. So it comes down to not what toy is the shiniest of newest but what helps you answer the questions that the business is asking over the long term.

I also want to amplify another point you bring up--"For advanced analytical practices, whether the data is structured or multi-structured, you often need to prepare the data for analytical models - so there is no reason that you cannot use multi-structured."

I would say that this is true for any type of analytics/data exploration/business intelligence/slice and dice/. --the vehicle that we are using to make sense of the data has its own input requirements. For example, Business Objects was originally designed to go against a RDBMS. As the need emerged it needed go against a cube structure.

So I view the problem of BI or Data Visualization tools going against a new architecture. The broader question is, how do I access and modify the data in a particular source to conform with the requirements of the tool that I need to answer the business question. | Friday, February 21 2014 at 11:28AM ET

Posted by Wayne A | Friday, February 21 2014 at 11:43AM 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.
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.