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Document
Document

... Hadoop is an excellent technology to use for transforming data of varying structures to formats useful for analytics Hadoop also excels at handling very large amounts of disparate data ...
Data Mining
Data Mining

... History of Data Mining • Although OLAP tools support multidimensional analysis and decision making, additional data analysis tools are required for in-depth analysis, such as data classification and clustering. • Also huge amounts of data is accumulated beyond database and data warehouses such as w ...
Guidelines for locating data on “Salmon Supporting Streams”, as
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... that is the best place to start. There are two primary approaches to obtaining fish distribution information from the StreamNet database: Our main online query system (a tabular system which allows users to select criteria to locate information); and an interactive map application that allows users ...
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... into the databases, difficulties have been identified and solutions to overcoming them found. Most MS have however been very busy taking care of the implementation of the EPC schemes and have thus not had time or resources to investigate the possibilities for exploiting the information in the databa ...
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Clusterpoint

Clusterpoint is a privately held European technology company developing and supporting Clusterpoint database software platform. Company was co-founded by software engineers with expertise in Big data computing. Founders were dissatisfied with complexity, scalability and performance limitations of relational database architecture. The first version of the product was released in 2006. Company is venture capital backed.Clusterpoint database is a document-oriented database server platform for storage and processing of XML and JSON data in a distributed fashion on large clusters of commodity hardware. Database architecture blends ACID-compliant OLTP transactions, full-text search and analytics in the same code, delivering high availability and security.Clusterpoint database enables to perform transactions in a distributed document database model in the same way as in a SQL database. Users can perform secure real-time updates, free text search, analytical SQL querying and reporting at high velocity in very large distributed databases containing XML and JSON document type data. Transactions are implemented without database consistency issues plaguing most of NoSQL databases and can safely run at high-performance speed previously available only with relational databases. Real time Big data analytics, replication, loadsharing and high-availability are standard features of Clusterpoint database software platform.Clusterpoint database enables web-style free text search with natural language keywords and programmable relevance sorting of results. Constant and predictable search response time with latency in milliseconds and high quality of search results are achieved using policy-based inverted indexation and unique relevance ranking method. Database also supports essential SQL query, that can be combined with free text search in a single REST API.For most of its history Clusterpoint was servicing business customers as an enterprise software vendor.In January 2015 Clusterpoint changed the licensing policy to free software license version. From February 2015 Clusterpoint database is available as a cloud service (DBAAS). The latest Clusterpoint database production version is 3.0, released in February, 2015.
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