Performance Of Mysql ( Non Cluster ) And Hadoop - 1243 Words

Overview: This section describes the purpose of this research, the rationales for undertaking it and the background knowledge that is relevant to this research. It provides the research background that describes the polemic in the Database Management Systems (DBMS); research question in regards of performance of MySQL (non cluster) and Hadoop; the research aim; the research objectives; and the research outline. 1.1. Background The weakness of the relational database unfolded by the rise of web-driven application (Lake and Crowther, 2013; Dede et al., 2013), whereas non-relational database gained their popularity (Li and Manoharan, 2013; Parker et al., 2013; Prasad and Gohil, 2014). However, since it was believed that a relational and a non-relational database had a different function, therefore Parker et al. (2013); Tudorica and Bucur (2011) stated that those databases were not comparable. Relational database appropriates for modest structured dataset, while non-relational database suitable for large unstructured dataset (Parker et al., 2013). In regards of choosing a database platform, it was recommended to choose a database platform that had an excellent performance (A MySQL AB, 2005; Lake and Crowther, 2013; Kulshrestha and Sachdeva, 2014). In the era of web-driven database application, it is necessary to have an excellent performance of database due to the necessity of processing a huge amount of data traffic (Butcher and Maslakowsky, 2003). Due to the important roleShow MoreRelatedResearch : Structured And Unstructured Dataset771 Words   |  4 Pageset al., 2013), whereas non-relational database gained their popularity (Li and Manoharan, 2013; Parkr et al., 2013; Prasad and Gohil, 2014). However, since relational and non-relational have different function depends on the form and the size of the dataset, therefore Parker et al. (2013); Tudorica and Bucur (2011) stated that those two types of database platform are not comparable. Relational database is suitable for structured dataset with modest size of data, while non-relational database is forRead MoreDescription And Analysis Of The Run Time Pattern1496 Words   |  6 Pagestimes execution, comparison of the overall run time using an arithmetic mean approach and error analysis. Run Time Pattern in Three Executions MySQL (non cluster) had a stable pattern within three executions, while Hadoop did not. According to my investigation, it caused by the following reason: I executed MySQL (non cluster) through SSH window, whereas Hadoop was executed through Ambari client browser. The connection through SSH did not use Internet public network, while client browser used it. InRead MoreReport Assignment1748 Words   |  7 Pagesbuddet1989@gmail.com †¢ Over all 4 years of IT experience in analysis, design and development using Hadoop, Java and J2EE. †¢ 3+ years experience in Big Data technologies and Hadoop ecosystem projects like Map Reduce, YARN, HDFS, Apache Cassandra, Spark, NoSQL, HBase, Oozie, Hive, Tableau, Sqoop, Pig, Storm, Kafka, HCatalog, Zoo Keeper and Flume †¢ Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and MapRead MoreInvestigation Into An Efficient Hybrid Model Of A With Mapreduce + Parallel Platform Data Warehouse Architecture Essay1954 Words   |  8 PagesCarolina, USA E-mail: skotturi@uncc.edu Abstract—Parallel databases are the high performance databases in RDBMS world that can used for setting up data intensive enterprise data warehouse but they lack scalability whereas, MapReduce paradigm highly supports scalability, nevertheless cannot perform as good as parallel databases. 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These databases can be installed, configured and maintained on a Cloud server by the user himself. This option is popularly called the â€Å"Doit-Yourself† approach (DIY). Few providers offer readymade database services such as Xeround’s MySQL [4]. In â€Å"Do-it-Yourself† approach, the developers manually ensure reliabili ty and elasticity service. Selection of a DBaaSRead MoreBig Data Belongs In A Warehouse Not A Silo4480 Words   |  18 PagesTraditional data warehouse technologies were not designed for this volume, velocity and variety of data, which is collectively referred to as big data. Some people believe that the answer to challenges posed by big data lie in a relatively new group of non-relational data storage and management products known collectively as NoSQL. However, NoSQL system development is different from traditional data warehouse development in that it is application driven. This has led some pundits to postulate that NoSQLRead MoreA Brief Note On Internet And Cloud Technology1815 Words   |  8 PagesUsing concurrent processing data retrieval is fast and NoSQL process using concurrent processing. Introduction: Present day most of the clients are using the traditional databases like Oracle, DB2 etc and are experiencing problems in storage and performance. A large number of changes are required so that they can overcome all the drawback of the traditional database and researches are carrying out which is resulting in the database which differ from the normal database characteristics. Various numberRead MoreSurvey On Graph Databases : Graph Database3635 Words   |  15 PagesUniversity of Edinburgh Abstract. Graph databases, also called graph-oriented database, is a type of not only SQL (NoSQL) database based on graph theory that can store, map and query data relationships. Because this kind of database ensures its robust performance in processing graph-like data, it has been widely used in industry, for instance, Facebook and Twitter are using graph databases to store and analyze their user proles. This paper re- viewed motivations and development of graph databases. Then