Enterprise Search and Big Data White Papers
- White papers are free to download. A link to the complimentary PDF copy will be sent to the email address you provide.
- The white papers represent unbiased, product neutral insights on enterprise search and big data technologies.
- They are written by our staff based on experience from 800+ enterprise search and big data implementations
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Support for the Google Search Appliance (GSA) will end in March 2019. Starting your GSA migration early will ensure a smooth transition and reduce risks. Built with GSA users in mind and around open source search engines, Search Technologies' Enterprise Search StackTM is a cost-effective, complete solution that replaces your GSA effectively.
This white paper provides you an in-depth look into the ST Search StackTM and how it produces identical or better results than the GSA.
With the growth of mobile devices, catering to the needs of mobile users has become critical to business strategy, especially if you have a content-rich or e-commerce centric website, app, or both.
This how-to guide will provide you an overview of the latest trends in mobile app search as well as step-by-step discussions on what to do to improve search experience for your app users.
With the Google Search Appliance (GSA) reaching its end-of-life, you need to start thinking about your search strategy moving forward. There's a lot more to it than just replacing the "yellow box" and putting another search solution in its place.
This e-book will provide you a guideline for avoiding pitfall and ensuring a seamless transition to your new search solution.
Hiring an outside team to help with your search and big data projects is a considerable investment. How do you select the right partner for your company's use case and specific requirements?
This e-book discusses 10 practical things that a good search and big data consultancy should be able to do for you. It can serve as a guideline for your strategy planning and vendor selection.
Whether you are planning to implement a new search engine, replace the existing one to meet business objectives, or make improvements to the current one, a thorough assessment of certain functionalities and performance metrics will be key to your success.
This e-book discusses the top 10 criteria you should consider when evaluating your options and provides a practical guideline for choosing the right one for your needs.
Collecting and analyzing log data - system logs and user logs – can help organizations find greater insights, leading to better performance and revenue. And with their affordability and enterprise-grade capabilities, open source technologies have made it possible for businesses of all sizes to efficiently perform log analytics.
This white paper will give you a deep-dive into combining the Elastic Stack and Apache Kafka to build a flexible, powerful open source log analytics architecture.
Top quality search accuracy is not achieved with technology alone or through a one-time “quick fix.” It can be achieved with a careful, continuous improvement process driven by a varied set of metrics. The starting point is an objective, statistically valid measurement of search accuracy. Search Technologies recommends using this white paper as a reference guide. The techniques discussed have been successfully used for computing search engine accuracy metrics and using engine scoring to improve accuracy over time.
As data grows, organizations are increasingly seeking for an intelligent information discovery and analytics platform that goes beyond keyword searches and better understands users' intent.
This white paper expands on Gartner's "insight engines" concept and explores how intelligent search engines with big data and natural language processing will be key in the new age of search, analytics, and business intelligence.
This white paper provides a deep-dive into how organizations are using big data techniques to transform modern search and analytics, bringing higher efficiency and cost savings to the digital workplace.
You'll learn about how machine learning and predictive analytics can be leveraged for versatile big data and search applications in e-commerce, media and publishing, recruiting, and fraud detection.
Studies show that e-commerce search fails to provide an optimal user experience most of the time, even for top-tier e-commerce companies. A modern e-commerce search architecture can overcome search functionality weaknesses, better serve users, and make impacts on revenue.
This white paper covers topics such as metric-driven search improvements, big data for user behavior analytics, and open source e-commerce search technologies.