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A Comparison of Cross-Database Access Techniques Using SAS® with SAS/ACCESS® Version 6.12 and SAS with SAS/ACCESS Version 8.1
A Comparison of Cross-Database Access Techniques Using SAS® with SAS/ACCESS® Version 6.12 and SAS with SAS/ACCESS Version 8.1

... names were truncated and numbered to insure short but unique names. These translated variable names could complicate communication between statisticians and database owners. In Version 8.1, the process is executed simply through specific access engines in the libname statement. The increased length ...
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... many DBMS. the selection criteria (for example, where empno = 11227) are examined and the use of indexes is detennined using internal algorithms in the DBMS. Given this condition, you might be paying for the overhead of maintaining indexes that may never be used. Note that the Version 6 database eng ...
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... would define. It can contain a partial portion of the database or a full scale database. The GIDB is a concerted effort between the programmer and the statistician. In order to create a GIDB, there should be more than one protocol involved or one protocol split out into two sets of reports based upo ...
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... with effect from the academic year 2014-15 onwards 1. OBJECTIVE OF THE PROGRAMME To Develop the Post Graduates in Computer Science with strong knowledge of theoretical Computer Science discipline who can be employed in Research and Development (R&D) units of Industries and Academic institutions. 2. ...
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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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