Scalable SQL and NoSQL data stores

Cattell, R. G. G.

doi:10.1145/1978915.1978919

Cited by 1,056 publications

(459 citation statements)

References 4 publications

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“…As regards the proper data storage solution, Hadoop's ecosystem incorporates HBase [29]. HBase is a distributed column-oriented database (e.g., [30]), which also falls in the category of NoSQL storage systems (e.g., [31]), that founds on the underlying Hadoop Distributed File System (HDFS) (e.g., [32]) for common data processing routines. HBase has been proved to be highly scalable.…”

Section: Hadoop: An Overviewmentioning

confidence: 99%

An Effective and Efficient MapReduce Algorithm for Computing BFS-Based Traversals of Large-Scale RDF Graphs

2016

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Nowadays, a leading instance of big data is represented by Web data that lead to the definition of so-called big Web data. Indeed, extending beyond to a large number of critical applications (e.g., Web advertisement), these data expose several characteristics that clearly adhere to the well-known 3V properties (i.e., volume, velocity, variety). Resource Description Framework (RDF) is a significant formalism and language for the so-called Semantic Web, due to the fact that a very wide family of Web entities can be naturally modeled in a graph-shaped manner. In this context, RDF graphs play a first-class role, because they are widely used in the context of modern Web applications and systems, including the emerging context of social networks. When RDF graphs are defined on top of big (Web) data, they lead to the so-called large-scale RDF graphs, which reasonably populate the next-generation Semantic Web. In order to process such kind of big data, MapReduce, an open source computational framework specifically tailored to big data processing, has emerged during the last years as the reference implementation for this critical setting. In line with this trend, in this paper, we present an approach for efficiently implementing traversals of large-scale RDF graphs over MapReduce that is based on the Breadth First Search (BFS) strategy for visiting (RDF) graphs to be decomposed and processed according to the MapReduce framework. We demonstrate how such implementation speeds-up the analysis of RDF graphs with respect to competitor approaches. Experimental results clearly support our contributions.

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Section: Hadoop: An Overviewmentioning

confidence: 99%

An Effective and Efficient MapReduce Algorithm for Computing BFS-Based Traversals of Large-Scale RDF Graphs

2016

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“…NoSQL databases such as MongoDB are designed to perform simple tasks with high scalability [6]. For providing high performance updates, NoSQL databases generally sacrifice strong consistency by providing so called eventual consistency compared with the ACID transactions of regular DBMSs.…”

Section: Nosql Databasesmentioning

confidence: 99%

“…NoSQL databases cover different kind of data store families, such as document stores, graph databases, cloud-based data stores. [6] gives an overview of list features on the state-of-the-art NoSQL databases such as MongoDB [25], Cassandra [5], Redis [27], HBase [16], Memcached [24], and CouchDB [9]. However, Cassandra [5], Redis [27], HBase [16], Memcached [24], and CouchDB [9] do not provide full secondary indexing, which is essential for scalable performance of numerical queries.…”

Section: Nosql Databasesmentioning

confidence: 99%

Scalable Queries Over Log Database Collections

2015

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In industrial settings, machines such as trucks, hydraulic pumps, etc. are widely distributed at different geographic locations where sensors on machines produce large volumes of data. The data produced is stored locally in autonomous databases called log databases. The collection of log databases is dynamically changing when new sites are dynamically added or removed from the federation.In this application context, an efficient way to search and analyze passed behavior of products in use is desired. To enable scalable queries over collections of distributed and autonomous log databases we developed the FLOQ (Fused LOg database Query processor) system, which provides a global view of the working status of all machines on the sites through a meta-database integrating the dynamic log database collection. A particular challenge in this scenario is a scalable way to process numerical queries that identify anomalies by joining data from the metadatabase with data selected from the collection of distributed and autonomous log databases. The Thesis describes the architecture of FLOQ. In particular different strategies to execute numerical queries over log database collections are investigated. FLOQ allows both the meta-database and the log databases to be stored in multiple formats using different kinds of data managers. FLOQ provides general and extensible mechanisms for efficient processing of queries over different kinds of distributed data sources.

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“…Those uncertainties made us decided to use relational databases management systems (RDBMS) [26] and NoSQL [27] databases. Comparing both we can state that NoSQL have simple access patterns, compromise on consistency for performance and Ad-hoc data format.…”

Section: Database Technologiesmentioning

confidence: 99%

Open Source Technologies Involved in Constructing a Web-Based Football Information System

Rodrigues

Belguinha

Gomes

et al. 2013

Advances in Intelligent Systems and Computing

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Abstract. The current information systems and match analysis software associated to professional football output a huge amount of statistics. Many football professionals are particularly interested in real time information about the tactical plan occurring during the match, and the relations between that information and what was prepared in the training sessions. It is fundamental to have on the bench, and on-the-fly, the most relevant information each time they have to take a decision. In this paper, we present a set of open source technologies involved in building a multi-platform web based integrated football information system, supported in three main modules: user interfaces, databases, and the tactical plan detection and classification. We show that the selected technologies are suitable for those modules, allowing field occurrences to trigger meaningful information.

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Scalable SQL and NoSQL data stores

Cited by 1,056 publications

References 4 publications

An Effective and Efficient MapReduce Algorithm for Computing BFS-Based Traversals of Large-Scale RDF Graphs

An Effective and Efficient MapReduce Algorithm for Computing BFS-Based Traversals of Large-Scale RDF Graphs

Scalable Queries Over Log Database Collections

Open Source Technologies Involved in Constructing a Web-Based Football Information System

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