Maximizing Search Technology for Analytics and Big Data Usage by Lucid WorksWelcome, Guest      sign in | register | help

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Research Abstract
Maximizing Search Technology for Analytics and Big Data Usage
by Lucid Works

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Published on: September 17, 2012
Type of content: PODCAST
Format: Unknown
Price: FREE


There is a perfect storm brewing: organizations are amassing large volumes of multi-structured data, yet there are few cost-effective ways to analyze this data without data scientists, who seems to be as elusive as a white unicorn.  Although there are higher level languages on the horizon, like Hive and Pig, that promise to give mere mortals access to Hadoop-bound data, there is an easier approach that some may consider old school: search technology.

Think about it: search tools can index both structured and unstructured data and thanks to new add-ons, such as Hadoop integration, natural language processing, columnar databases, simple query languages, and visualization interfaces, they can also handle many analytical tasks.

In this podcast, you will learn:

  • The value of using search to perform analytics

  • The marriage of search and big data

  • The technology that powers search-enabled analytics

  • Use cases for search-enabled analytics¬†

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