|
| |
1 - 25 of 478 | Next Page
|
Featured Sponsors
ReferenceWare by SkillSoft Corporation
ReferenceWare – the fastest way to problem-solve and learn - provides full access to the unabridged contents of thousands of business and technology titles in a searchable, collaborative environment!
|
Using Social Search to Drive Innovation through Collaboration by Vivisimo, Inc.
December 22, 2009 - (Free Research)
This paper, will try to help you strike a balance between solid business thinking and explosive enthusiasm for any new technology option with 2.0 in the description. Our goal is to give you a new way of looking at old challenges.
|
Learn More About KnowledgeStorm by KnowledgeStorm, Inc
(E-mail this company)
June 2007 - (Free Research)
KnowledgeStorm is the Internet's top-ranked search resource for technology solutions and information. With our premier network, search expertise and performance tools and services, KnowledgeStorm provides technology vendors the most opportunities to reach buyers on the Internet and convert them into Web leads.
|
How to Effectively Deploy and Manage Enterprise Search by Lucid Works
August 2012 - (Free Research)
Enterprise search offers significant businesses benefits – if you know how to deploy and manage it effectively. Read through this informative presentation transcript to learn enterprise search implementation and administration best practices from Lynda Moulton, a content and search technology guru with 30+ years of experience.
|
Programmer’s Guide: Using LucidWorks Enterprise to add search to your Web Application by Lucid Works
December 2010 - (Free Research)
This step-by-step guide shows a programmatic approach to working with LucidWorks Enterprise, the search solution from LucidWorks Enterprise built on Apache Solr. We’ll show how to add content, index it, create a web page (with example PHP code) to send search requests and display results, and more.
|
Thomson Reuters Unleashes New Products with a Shared IT Infrastructure Built on NetApp by NetApp
January 2012 - (Free Research)
This case study outlines a recent development in Thompson Reuters' legal research service. In this study, you'll learn about the infrastructure technologies and solutions Reuters' implemented in order to successfully engineer this enhanced search platform, and learn about the benefits it brought the company. Read on for more.
|
Getting Started With LucidWorks Enterprise by Lucid Works
October 2010 - (Free Research)
This document provides a working knowledge of the LucidWorks Enterprise search development platform. Learn about installation, indexing content from local files, web sites, databases, searching, as well as improving the user experience using features such as user alerts, auto-complete and spell-check. Previous programming experience not required.
|
Minimizing Windows 7 “Interface Shock” by Global Knowledge
March 2011 - (Free Research)
This paper examines that many organizations want to take advantage of the speed, security, reliability, and flexibility of Windows 7, and how it is possible to minimize interface shock for users by leveraging Group Policy to make Windows 7 look more like Windows XP.
|
5 Steps to Faster Data Classification by Varonis
May 2013 - (Free Research)
This white paper covers five key steps you can take to achieve faster data classification. Read on to learn more about classifying unstructured data, identifying data owners, using meta-data and more.
|
How to Start a Windows Vista Pilot Deployment by Microsoft
November 2008 - (Free Research)
Thinking about deploying Windows Vista? This guide gives an overview of how to successfully manage a pilot program that provides the best experience for pilot users and helps to provide positive project justification to business decision makers.
|
Data Sheet: Oracle Endeca Information Discovery by Oracle Corporation UK Ltd
December 2012 - (Free Research)
View this white paper to learn more about Oracle Endeca Information Discovery. With this enterprise data discover platform you can have rapid, intuitive exploration and analysis of information from any combination of structured or unstructured sources.
|
Getting more visibility for your Windows Store app Part 1: Create great apps by Microsoft
January 2013 - (Free Research)
In this white paper, discover best practices for great app development, from planning to requirements to nuts-and-bolts coding. Read on for more information and tips on going beyond stock templates, supporting searching and sharing, being resolution and DPI aware, and more.
|
e-Guide: Oracle Backup and Recovery Best Practices by Regan Technologies
February 2011 - (Free Research)
Backing and managing data efficiently is becoming one of the most important tasks a backup/storage administrator deals with. IT professionals have been seeking and searching for better ways to manage and refresh their testing and development strategies. Download this guide to learn more.
|
Business Technology Marketing Benchmarks: 2006-2007 Data and Trends by KnowledgeStorm Webinars
(E-mail this company)
August 2006 - (Free Research)
Find out what 1,900 B2B marketers in software, hardware and technology services industries revealed about what works for lead generation. Supplement this report with the webinar titled "KnowledgeStorm Webinars: Business Technology Marketing Benchmarks: 2006-2007 Data and Trends" and learn about B2B e-mail and search engine marketing strategies.
|
Best Practices for Managing Unstructured Data by HP & Intel®
December 2012 - (Free Research)
This E-Guide explores several best practices and approaches for managing and integrating these new types of data. In addition, learn about the differences between using enterprise search versus text analysis for processing unstructured data.
|
Avoiding Data Quality Failure: Identifying Data Quality by Pitney Bowes Business Insight
March 2008 - (Free Research)
This presentation transcript features speaker Evan Levy, partner and co-founder of Baseline Consulting, a professional services firm concentrating on enterprise data issues. This discussion is about data quality and some of the challenges and pitfalls that are seen during data quality implementation.
|
|
|