Overview
- Comprehensively analyzes existing and new solutions for disk-based parallel database management systems
- Demonstrates the feasibility of a parallel main memory DBMS based on shared-storage
- Provides a showcase for creating a columnar database
- Includes supplementary material: sn.pub/extras
Part of the book series: In-Memory Data Management Research (IMDM)
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Table of contents (11 chapters)
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A Database System Architecture for a Shared Main Memory-Based Storage
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Database Operator Execution on a Shared Main Memory-Based Storage
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Evaluation
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Conclusions
Keywords
About this book
Authors and Affiliations
About the author
Dr. Christian Tinnefeld received his B.Sc. and M.Sc. degrees from the Hasso Plattner Institute at the University of Potsdam, Germany, where he also pursued his doctoral studies. His main research interests are In-Memory Databases and Cloud Computing. In the former area, he has been collaborating with SAP for six years and contributed to initial concepts of the SAP HANA database. In the latter area, Christian has been collaborating with the RAM Cloud Project at Stanford University, California, USA for three years.
Bibliographic Information
Book Title: Building a Columnar Database on RAMCloud
Book Subtitle: Database Design for the Low-Latency Enabled Data Center
Authors: Christian Tinnefeld
Series Title: In-Memory Data Management Research
DOI: https://doi.org/10.1007/978-3-319-20711-7
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-20710-0Published: 28 July 2015
Softcover ISBN: 978-3-319-37389-8Published: 17 October 2016
eBook ISBN: 978-3-319-20711-7Published: 07 July 2015
Series ISSN: 2196-8055
Series E-ISSN: 2196-8063
Edition Number: 1
Number of Pages: XIX, 130
Number of Illustrations: 37 b/w illustrations
Topics: Business IT Infrastructure, Database Management, Memory Structures, Data Storage Representation