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Navegando por Data de Publicação, começando com "2021-07-06"

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    Andanças, movimentos e luta quilombola no Norte de Minas Gerais
    (Universidade Federal de São Carlos, 2021-07-06) Costa, Pedro Henrique Mourthé de Araújo; Vianna, Anna Catarina Morawska; https://lattes.cnpq.br/2245801371286766; https://lattes.cnpq.br/2245801371286766
    This dissertation is an ethnography of the quilombolas – rural black communities – located in the North region of the State of Minas Gerais, their luta [struggle], movements and an-danças [wayfaring]. Following my quilombola research partners in various events and activ-ities in the world of social movements and undertaking visits and stays in communities from 2016 to 2018 allowed me to understand how the quilombola struggle is done in movement, in the circulation of people, knowledge, things, symbols, practices and traditions. In their wayfaring and caminhadas [walks], the quilombolas take their flags, clothing, ornaments, instruments, songs, gritos de ordem [slogan chanting], prayers and batuque [drumming]. All these elements, which circulate and give form to the struggle, define a particular mode of political engagement. The struggle demands a kind of engagement for which movement is central, being related to various kinds of knowledge, acquired and produced through wayfar-ing. Besides its importance to the region's territorial struggles, wayfaring is also immanent to the quilombola way of life in their territories. In this sense, I try to think of wanderings not only as physical displacements between different places. Instead, the idea is to reflect about these and other movements as a unique way of living and acting in the world. Or ra-ther, a way to dwell the worlds among which they circulate in their struggle.
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    Análise comparativa de benchmarks para banco de dados NoSQL orientados a grafos de propriedades
    (Universidade Federal de São Carlos, 2021-07-06) Silva, Laís Bethânia Brito; Ciferri, Ricardo Rodrigues; https://lattes.cnpq.br/8382221522817502; https://lattes.cnpq.br/2331554659302226
    The new era of data economics, based on data sets with enormous volume, wide variety of formats, and rapid speed in data production and utilization, has brought the need for new data management structures and methods. Then come Not Only SQL (NoSQL) databases, which provide a new way of storing and retrieving data with features that go beyond relational database management systems. NoSQL databases are divided into four major models: key -value, column-oriented, document-oriented and graph-oriented. They are able to scalably handle the storage and processing of gigantic volumes of data with a flexible format, where manipulations are not exclusively performed through the SQL language. These data sets, many of which, modeled as large graphs, to - a challenge for industry and academia, which has been increasingly committed to research and innovation in the area. Thus, there is a natural increase in demand for performance analysis systems for Graph Oriented NoSQL Databases. This implies the need for new benchmarks capable of testing these new technologies and that guide users to identify tools that best adapt to their applications. Many studies approach the proposal of benchmarks for an analysis of Graph Oriented NoSQL Database systems. However, no study studies the comparison of such benchmarks. Thus, this Master's research work aimed to carry out a comparative analysis of benchmarks for performance evaluation of Graph Oriented NoSQL Databases, with specific emphasis on the property graph model, and thus highlight as main differences between these, in addition to identifying strengths and limitations of each benchmark. Thus, it becomes possible to identify the most appropriate benchmark to analyze the performance of Property Graph-Oriented NoSQL Database systems according to a set of requirements of a specific domain. Application. Among the several existing benchmarks, it was investigated to compare the LDBC SNB, XGDBench, HPC-SGAB, TGDB and Cyclone benchmarks. In general terms, the LDBC-SNB benchmark stood out in relation to the other benchmarks, especially when it comes to query types and performance measures, and because of its tester support for several graph-oriented NoSQL DBMS's.
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