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Building OLAP Cubes from Columnar NoSQL Data Warehouses
International Conference on Model and Data Engineering, 2016Khaled Dehdouh
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2012
Designing a data warehouse is one of the most important aspects of a business intelligence solution. If the data warehouse is designed correctly, all other aspects of the solution will benefit. Conversely, if it is created incorrectly, it will cause no end of problems.
Randal Root, Caryn Mason
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Designing a data warehouse is one of the most important aspects of a business intelligence solution. If the data warehouse is designed correctly, all other aspects of the solution will benefit. Conversely, if it is created incorrectly, it will cause no end of problems.
Randal Root, Caryn Mason
openaire +2 more sources
Comparative study of data warehouses modeling approaches: Inmon, Kimball and Data Vault
International Conference on System Reliability and Safety, 2016Lamia Yessad, Aissa Labiod
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Augmenting Data Warehouses with Big Data
Information systems management, 2015N. Jukic +3 more
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Data Analytics and Data Warehouses
2011This chapter focuses on how to extract information from package software systems. This information will be used for decision support system (DSS) purposes and typically be presented to the user in an on-line display format or as a report. The concept behind DSS is that it deals with data “after the fact,” meaning that the data are no longer in a ...
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2008
A data warehouse (DW) is a complete intelligent data storage and information delivery or distribution solution enabling users to customize the flow of information through their organization (Inmon & Hackathorn, 2002). It provides all authorized members of users’ organization with flexible, secure, and rapid access to critical information and ...
Huanyu Ouyang, John Wang
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A data warehouse (DW) is a complete intelligent data storage and information delivery or distribution solution enabling users to customize the flow of information through their organization (Inmon & Hackathorn, 2002). It provides all authorized members of users’ organization with flexible, secure, and rapid access to critical information and ...
Huanyu Ouyang, John Wang
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Towards a Programmable Semantic Extract-Transform-Load Framework for Semantic Data Warehouses
International Workshop on Data Warehousing and OLAP, 2015Rudra Pratap Deb Nath +2 more
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Streaming Data into the Warehouse
2020In the last chapter, we covered myriad ways to take your data and load it into your BigQuery data warehouse. Another significant way of getting your data into BigQuery is to stream it. In this chapter, we will cover the pros and cons of streaming data, when you might want to use it, and how to do it.
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Modelling and implementing big data warehouses for decision support
, 2017M. Y. Santos +2 more
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Modeling and Querying Data Warehouses on the Semantic Web Using QB4OLAP
International Conference on Data Warehousing and Knowledge Discovery, 2014Lorena Etcheverry +2 more
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