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  Browse All Reviews > Information Systems (H) > Database Management (H.2) > Systems (H.2.4) > Distributed Databases (H.2.4...)  
  1-10 of 203 Reviews about "Distributed Databases (H.2.4...)": Date Reviewed
  Graph data management: fundamental issues and recent developments
Fletcher G., Hidders J., Larriba-Pey J.,  Springer International Publishing, New York, NY, 2018. 186 pp. Type: Book (978-3-319961-92-7)

Graph databases are now key in supporting semantic web and linked open data, as well as in application domains for software engineering, geographical databases, social networks, telecommunication, bioinformatics, chemistry, and datasets like DBLP....

Nov 13 2020
  Blurring the lines between blockchains and database systems: the case of hyperledger fabric
Sharma A., Schuhknecht F., Agrawal D., Dittrich J.  SIGMOD 2019 (Proceedings of the 2019 International Conference on Management of Data, Amsterdam, the Netherlands, 105-122, 2019. Type: Proceedings

In the past decade, we have witnessed the rise of blockchain systems, encouraged by the hype around cryptocurrencies. Blockchain-based systems are capable of storing and sharing information while protecting its integrity--a property that dist...

Jun 16 2020
  Building blockchain projects
Prusty N.,  Packt Publishing, Birmingham, UK, 2017. 404 pp. Type: Book (978-1-787122-14-7)

Readers will get a first look at how to access the Ethereum blockchain and working code, as well as how to “do” something with this technology. Unlike Bitcoin, the preceding cryptocurrency, Ethereum can execute arbitrary programs on it...

May 28 2019
  Algorithms for data science
Steele B., Chandler J., Reddy S.,  Springer International Publishing, New York, NY, 2017. 430 pp. Type: Book (978-3-319457-95-6)

This 430-page book contains an excellent collection of information on the subject of practical algorithms used in data science. The authors present the algorithms in the context of applications. The discussion of each algorithm starts with some ba...

Sep 11 2017
  Husky: towards a more efficient and expressive distributed computing framework
Yang F., Li J., Cheng J.  Proceedings of the VLDB Endowment 9(5): 420-431, 2016. Type: Article

Husky is a continuity point on the scientific approach to massive data computing, an approach that is still at the peak of hype. This approach certainly would be the origin of further investigation to provide a more effective framework to gain ins...

Feb 7 2017
  Analytic queries over geospatial time-series data using distributed hash tables
Malensek M., Pallickara S., Pallickara S.  IEEE Transactions on Knowledge and Data Engineering 28(6): 1408-1422, 2016. Type: Article

This paper explores the advantages and complications of using a novel indexing scheme for managing big data and geospatial attributes. The indexing system is built with the goal of an optimal compromise among scalability, expressiveness, and perfo...

Jul 21 2016
  An online integrated resource allocator for guaranteed performance in data centers
Divakaran D., Le T., Gurusamy M.  IEEE Transactions on Parallel and Distributed Systems 25(6): 1382-1392, 2014. Type: Article

Network resources can easily become the bottleneck in a data center (DC), potentially corrupting service-level objectives. Yet most previous work on resource allocation in virtualized DCs focuses only on server resources, ignoring communication as...

Sep 8 2015
  Think big with big data: identifying suitable big data strategies in corporate environments
Ebner K., Bühnen T., Urbach N.  HICSS 2014 (Proceedings of the 47th Annual Hawaii International Conference on System Sciences, Waikoloa Village, HI,  Jan 6-9, 2014) 3748-3757, 2014. Type: Proceedings

While “no insight without analysis” is even truer for big data, organizations today still face the challenge of identifying an adequate technical architecture for achieving that. For this task, in the case of traditional data routinely...

Sep 11 2014
  Joe Celko’s complete guide to NoSQL: what every SQL professional needs to know about non-relational databases
Celko J.,  Morgan Kaufmann Publishers Inc., San Francisco, CA, 2013. 244 pp. Type: Book (978-0-124071-92-6)

Most contemporary database professionals have been educated on relational models and products; however, most lack experience with legacy data systems, and many have little experience with the latest non-relational approaches....

Mar 4 2014
  Distributed strategies for mining outliers in large data sets
Angiulli F., Basta S., Lodi S., Sartori C.  IEEE Transactions on Knowledge and Data Engineering 25(7): 1520-1532, 2013. Type: Article

The outlier detection problem is a well-studied data mining task where the goal is to isolate data points that are significantly different from the majority of data points in a dataset. The solution to this problem plays an important role in appli...

Oct 21 2013
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