Rethinking Enterprise Search for the Big Data Age

The humble search engine has retained a prominent place in the toolboxes of would-be data explorers. You see Solr and Lucene sitting at the Hadoop table, right alongside SQL and machine learning. But some search experts–including one who helped build Microsoft Bing–says traditional search engines are too long in the tooth for today’s big data challenges.There’s no doubt that Internet search engines, such as Google and Bing, have changed how we retrieve information, says Donald Thompson, the co-founder and CTO of Maana and a long-time Microsoft developer. But when it comes to the enterprise search engines that companies often use to index and retrieve internal documents, there has been a major failure of innovation. The problem is that enterprise search has failed to keep up with their consumer-grade cousins, Thompson tells…

Link to Full Article: Rethinking Enterprise Search for the Big Data Age

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!