Database architecture (R)evolution: New hardware vs. new software

The last few years have been exciting for data management system designers. The explosion in user and enterprise data coupled with the availability of newer, cheaper, and more capable hardware have lead system designers and researchers to rethink and, in some cases, reinvent the traditional DBMS arc...

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Bibliographic Details
Main Authors: Madden, Samuel R. (Contributor), Harizopoulos, S. (Author), Argyros, T. (Author), Boncz, P. A. (Author), Dietterich, D. (Author), Waas, F. M. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-04-12T17:04:35Z.
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Online Access:Get fulltext
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100 1 0 |a Madden, Samuel R.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Madden, Samuel R.  |e contributor 
100 1 0 |a Madden, Samuel R.  |e contributor 
700 1 0 |a Harizopoulos, S.  |e author 
700 1 0 |a Argyros, T.  |e author 
700 1 0 |a Boncz, P. A.  |e author 
700 1 0 |a Dietterich, D.  |e author 
700 1 0 |a Waas, F. M.  |e author 
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260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2012-04-12T17:04:35Z. 
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520 |a The last few years have been exciting for data management system designers. The explosion in user and enterprise data coupled with the availability of newer, cheaper, and more capable hardware have lead system designers and researchers to rethink and, in some cases, reinvent the traditional DBMS architecture. In the space of data warehousing and analytics alone, more than a dozen new database product offerings have recently appeared, and dozens of research system papers are routinely published each year. In this panel, we will ask our panelists, a mix of industry and academic experts, which of those trends will have lasting effects on database system design, and which directions hold the biggest potential for future research. We are particularly interested in the differences in views and approaches between academic and industrial research. 
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655 7 |a Article 
773 |t 2010 IEEE 26th International Conference on Data Engineering (ICDE)