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relational solutions

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Published By: Data Stax     Published Date: Apr 27, 2012
This paper examines key data management challenges facing modern businesses and explains how DataStax Enterprise provides the first post-relational database solution to handle real-time, analytic, and search data without using RDBMS solutions.
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datastax, data stax, data management, database management, database, enterprise, search data, rdbms
Data Stax
Published By: IBM     Published Date: Sep 11, 2013
Learn how Point-of-Sale data can yield pertinent and timely information such as which products are selling and when and where they are selling.
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relational solutions, ibm, power of demand data, demand data, point-of-sale, pos, data
Published By: IBM     Published Date: Aug 06, 2014
Point-of-sale (POS) data can yield pertinent and timely information including which products are selling, when they are selling and where. Companies that can quickly and aggressively employ this information gain valuable advantages over their competitors.
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ibm, retail, relational solutions, power, demand data, data, point-of-sale
Published By: IBM     Published Date: Jun 21, 2017
There are many types of databases and data analysis tools to choose from when building your application. Should you use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right ft? What about polyglot persistence and the need for advanced analytics? If you feel a bit overwhelmed, donít worry. This guide lays out the various database options and analytic solutions available to meet your appís unique needs. Youíll see how data can move across databases and development languages, so you can work in your favorite environment without the friction and productivity loss of the past.
Tags : 
data analysis, key value, document database, analytics

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