Enterprise Search and Big Data Analytics 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 search and big data analytics technologies.
- They are written by our staff based on experience from 800+ enterprise search and big data analytics projects.
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Site search plays a critical role in e-commerce conversion and revenue. Search Technologies conducted research to identify the overall trends of how e-tailers are implementing site search. Our sample consists of 70 UK e-commerce websites.
Download our report to read about our findings and expert recommendations on how you can implement and improve e-commerce site search features for higher revenue.
The big data revolution has brought more efficient and cheaper data collection and storage. But the massive amount of business data comes with the challenge of doing big data analytics successfully in order to extract actionable business intelligence.
This e-book highlights the top five big data analytics use cases we have designed and implemented for our customers, including discussions around the challenges, technology stacks, and business results.
For SharePoint search users, moving content to the cloud can be a cost-effective approach. But what about your on-premises content? How do you select the appropriate deployment path and configurations? This white paper provides an overview of two SharePoint hybrid search options - Hybrid Federated Search and Cloud Hybrid Search. You will also get a deep-dive into the pros and cons, technical requirements, and use cases of each hybrid search option.
One of the most common ways to improve the performance of search engines is to parallelize the work that needs to be performed. As the data stored in search indices increases, data inside them gets split into multiple shards.
This tutorial discusses a shard placement technique for improving search engines' query performance. We've successfully applied this technique in several Elasticsearch and Solr search and analytics applications.
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 brings a cost-effective, complete solution that replaces your GSA effectively.
This white paper provides you an in-depth look into our GSA Replacement Solution 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.