TDDD43 Advanced Data Models and Databases
Readings for NoSQL
- Brewer [ACM PODC'2000]: Towards Robust Distributed Systems
- Brewer [Computer , vol.45, no.2, pp.23-29, Feb. 2012]: CAP Twelve Years Later: How the "Rules" Have Changed
- Gilbert et al. [ACM SIGACT'2002]: Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services
- Fox et al. [SOSP'1997]: Cluster-Based Scalable Network Services
- Cattell [ACM SIGMOD Record'2010]: Scalable SQL and NoSQL data stores
- Grolinger et al. [Journal of Cloud Computing'2013]: Data management in cloud environments: NoSQL and NewSQL data stores
- Stonebraker et al. [ICDE'2005]: One Size Fits All: An Idea Whose Time Has Come and Gone
- Vogels [ACM Communications'2009]: Eventually Consistent
- Karger et al. [ACM STOC'1997], Consistent Hashing and Random Trees
- G. Coulouris et al. Distributed Systems: Concepts and Design, 5th Edition
- (optional) DeCandia et al. [ACM SIGOPS'2007], Dynamo: Amazon's Highly Available Key-value Store
- (optional) Chang et al. [OSDI'2006], Bigtable: A Distributed Storage System for Structured Data
- (optional) Ghemawat et al. [SOSP'2003], The Google File System
- Shvachko et al. [IEEE MSST'2010]: The Hadoop Distributed File System
- Dean et al. [ACM Communications'2008]: MapReduce: Simplified Data Processing on Large Clusters
- Leskovec et al.: MapReduce and the New Software Stack Chapter 2 Mining of Massive Datasets
Graph Data
- Documentation of the Apache TinkerPop framework
- Cypher: Introduction, Documentation, Reference Card
- Junghanns et al.: Management and Analysis of Big Graph Data: Current Systems and Open Challenges. In: Big Data Handbook (eds.: S. Sakr, A. Zomaya), Springer 2016.
- Batarfi et al.: Large Scale Graph Processing Systems: Survey and an Experimental Evaluation. Cluster Computing 18(3), 2015.
- McCune et al.: Thinking Like a Vertex: A Survey of Vertex-Centric Frameworks for Large-Scale Distributed Graph Processing. ACM Computing Surveys 48(2), 2015.
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Last updated: 2016-12-03