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Planning, Implementing, and Administering Scaleout Solutions with
Planning, Implementing, and Administering Scaleout Solutions with

... local queries, and to choose the most efficient overall query plan. To set up a linked server, you can use either the Server Objects/Linked Server/New Linked Server entry in the SQL Server Management Studio (SSMS) Object Browser or use the sp_addlinkedserver system stored procedure. With SSMS, you s ...
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Architecting Data Management: 7 Principles using SAS(R), DataFlux(R) and SQL
Architecting Data Management: 7 Principles using SAS(R), DataFlux(R) and SQL

... For “FINCO”, some of the rule fields never have any “bad” data in the live source tables. How can we show that the rule logic works for these fields? By creating an alternate set of source tables with test data. When we create this test data, we want to include both “good” data and “bad” data. For m ...
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... manufacturer provides worldwide customers with predictive field maintenance to improve productivity. These are just a few examples out of many. Thousands of companies have implemented in-memory computing, and many are doing things that would not otherwise ...
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Automatic partitioning of database applications

... For applications that exhibit different operating modes, such as the browsing versus shopping mix in TPC-W, each mode could be profiled separately to generate partitions suitable for it. The Pyxis runtime includes a mechanism to dynamically switch between different partitionings based on current CPU ...
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Get the Best Out of Oracle Data Pump Functionality

... Nokia • Nokia is a world leader in mobility • Head office in Finland; R&D, production, sales, marketing activities around the world • World’s #1 manufacturer of mobile devices, with estimated 40% share of global device market in 2009 ...
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... using FOP. When starting with existing, tested, and optimized data management systems and incrementally detaching features to introduce variability this results in a stripped-down version that contains only the core functionality. Additional features can be added when required for a certain use case ...
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Exadata Product Overview

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... Having a history of new features or bug fixes to Primavera’s scheduling software including when or what version it was introduced has proven to be valuable with claims work in the past. P6™ has had so many growing pains and is only just now beginning to be documented by outside people. The problem w ...
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New SQL Performance Optimizations to Enhance Your SAS® Client and Solution Access to the Database

... SAS® SQL has been used for years as the way many SAS® products query for their data. Take a look at the new SQL performance optimizations that have been added to this bellwether procedure, optimizations designed to greatly expand query pass-thru capability to data bases and shorten your SAS client a ...
Advancements in web-database applications for rabies surveillance
Advancements in web-database applications for rabies surveillance

... across the landscape [8] and cycles in time [9,10], sufficient samples should be collected to capture the variation underlying the spatio-temporal characteristics of an epizootic. Failure to do so can bias the accuracy of epidemiological measures over space and time relative to the sampling design [ ...
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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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