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Augmenting Data Warehouses with Big Data
Information systems management, 2015N. Jukic+3 more
semanticscholar +1 more source
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.
openaire +2 more sources
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
semanticscholar +1 more source
Modeling and Querying Data Warehouses on the Semantic Web Using QB4OLAP
International Conference on Data Warehousing and Knowledge Discovery, 2014Lorena Etcheverry+2 more
semanticscholar +1 more source
Design process for Big Data Warehouses
International Conference on Data Science and Advanced Analytics, 2014F. D. Tria, E. Lefons, F. Tangorra
semanticscholar +1 more source
A Semantic Model for Movement Data Warehouses
International Workshop on Data Warehousing and OLAP, 2014Renato Fileto+5 more
semanticscholar +1 more source
Scalable Scheduling of Updates in Streaming Data Warehouses
IEEE Transactions on Knowledge and Data Engineering, 2012Lukasz Golab+2 more
semanticscholar +1 more source
A data masking technique for data warehouses
International Database Engineering and Applications Symposium, 2011R. Santos, Jorge Bernardino, M. Vieira
semanticscholar +1 more source
Data Warehouses: Next Challenges
European Business Intelligence Summer School, 2011A. Vaisman, E. Zimányi
semanticscholar +1 more source
Tuning servers, storage and database for energy efficient data warehouses
IEEE International Conference on Data Engineering, 2010Meikel Pöss, R. Nambiar
semanticscholar +1 more source