This guide is a primer for enterprise search. It covers the basics about what to look for when choosing an enterprise-search solution and some expert tips for developing it so it meets the unique needs of your organization.

This content will be useful for both those on the business side who want to better understand enterprise search and also for a technical audience such as engineers who want to get a summary of key concepts before diving into the weeds.

It’s

Kürzlich hatte ich eine Diskussion mit einigen Architekten, die für eines der größten Krankenversicherungs-Systeme in den USA arbeiten. Sie interessierten sich für die Aggregation ihrer unzähligen Silos mit medizinischen Daten (Gesundheitsdaten) und wollten diese Integration durch die Umwandlung der Daten in über 100 Milliarden semantische Tripel erreichen. Hier unser Vorschlag:

Als ich mit dem Projekt begann, wollten die Architekten des Unternehmens semantische Tripel verwenden, um die

Say you’re working on a project that calls for something specific, like a “one-quarter-inch slotted magnetic screwdriver.” But when you go to the website of a hardware chain and type that phrase into the search field, zero results appear. You sigh and search again, typing simply “screwdriver.” This time, 652 matches fill your screen. You sigh again, frustrated by the “Goldilocks experience” so common to online searches—too little information or too much information, never resulting in

I met with a friend of mine the other day who, when it comes technology subjects, I like to say – “she knows enough to be dangerous.” During our lunch she asked me about Hadoop and if I could explain it to her because in her mind it was like teenage sex – “everyone is talking about it but very few people are actually doing it.”

I couldn’t help but laugh at the analogy and on one level I think she is right.  I participate in a lot of meetups around Dallas/Fort Worth and many of these