Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

July 21, 2011

Hadoop Advancing Information Management

Filed under: Conferences,Hadoop — Patrick Durusau @ 6:25 pm

Hadoop Advancing Information Management

I first saw this at Alex Popescu’s myNoSQL site and decided to explore further.

From the Ventana Research site:

Newly conducted benchmark research from Ventana Research shows organizations are recognizing that addressing big data needs requires new approaches to data and information management. New processes and new technologies have begun to take hold, as have the beginnings of a set of best practices. In particular, Hadoop is emerging in fore-front as a solution for managing large-scale data. The research findings indicate that Hadoop is already being used in one third of big data environments and evaluated in nearly another fifth. The research also found that Hadoop is additive to existing technologies according to almost two thirds of research participants.

Topping the lists of benefits in Hadoop adoption are newly found capabilities – 87% of organizations using Hadoop report being able to do new things with big data versus 52% of other organizations, 94% perform new types of analytics on large volumes of data, 88% analyze data at greater level of detail. These research statistics already validate the arrival of Hadoop as a key component of organization’s information management efforts. However, challenges remain with over half the organizations indicating some level of dissatisfaction with Hadoop.

Like me you probably want some more than breathless numbers and more detail. That is going to be available:

Ventana Research will detail the findings of this benchmark research in a live interactive webinar on July 28, 2011 at 10:00 AM Pacific time [1 PM Eastern] that will discuss the research findings and offer recommendations for improvement. Key research findings to be discussed will include:

  • The current state of organizations’ thinking on how best to apply Big Data management techniques.
  • Top patterns in the adoption of new methods and technologies
  • The current state, future direction of and potential investments
  • The competencies required to manage large-scale data.
  • Recommendations for organizations to act on immediately.

Of course I am looking for places in the use of Hadoop where subject identity is likely to be recognized as an issue.

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