In an earlier blog post titled, “Use the Four V’s to Better Understand the Big Data Ecosystem,” I discussed the concepts of volume, velocity, variety and variability that represent the measurable dimensions of big data. I then reviewed some research on how the various tools that make up the big data “ecosystem” address these dimensions. Further vetting of these ideas has helped to fuel discussions about the role of enterprise search in addressing big data with customers, partners, analysts and a number of big data practitioners I met at the recent Strata conference in Santa Clara, California. One of the key takeaways of this research is the real-time element that search can add to a big data deployment—more on that later. As promised in my initial post, I developed the topic of search and the value it can bring to big data into a Vivisimo White Paper titled, Optimizing Big Data.
Posts Tagged ‘entity extraction’
Wrangling Big Data with Enterprise Search
Wednesday, April 4th, 2012Tags: analytics, Big Data, big data deployment architecture, big data ecosystem, business value, data indexing, data repositories, document conversion, enterprise search, entity extraction, Hadoop Distributed File System (HDFS), MapReduce, variability of data, variety of data, velocity of data, Vivisimo Velocity Platform, volume of data
Posted in information optimized | 1 Comment »
Evolving Beyond Traditional Search
Monday, January 9th, 2012Effective search is a difficult problem to solve for most organizations. The challenge of tackling complex interdependencies between source systems and trying to satisfy stakeholders with different search needs can be daunting. Unfortunately, poor search isn’t just an inconvenience, it’s a liability. The inability to find critical information when it’s needed most diminishes trust in systems impedes employee learning and leads to less than optimal decisions.
The good news is, these problems can be solved.
Tags: clustering, concept searching, contextual intelligence, dynamic adaptability, enterprise search, entity extraction, information connectivity, Information Optimization, relevance, relevancy ranking, social interaction, text analytics
Posted in information optimized | 1 Comment »

