query types

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Published By: Lucidworks     Published Date: Aug 24, 2016
Online search functionality should feel seamless. Type what you’re looking for, and watch it appear instantly—like magic. No stumbling through category hierarchies or landing pages; just fast, accurate, search results pointing you to exactly what you want. Unfortunately, ecommerce search isn’t quite there yet. Download this eBook to learn 12 must-have query types to optimize your organization's eCommerce search.
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query types, search engine optimization, seo, search functionality, search results, ecommerce search
    
Lucidworks
Published By: Lucidworks     Published Date: Aug 13, 2015
12 Must have query types for Ecommerce search.
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lucidworks, query, search, ecommerce, conversion rate, transactions, search marketing, emerging marketing, internet marketing, crm & customer care, e-commerce
    
Lucidworks
Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
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