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Networking and Distributed Processing
Networking and Distributed Processing

... Platforms and the operating systems of client and server may differ These lower-level differences are irrelevant as long as a client and server share the same communications protocols and support the same applications ...
chapter 1 - Sacramento - California State University
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... Data privacy refers to the relationship between technology and the legal right to, or public expectation of privacy in the collection and sharing of data [16]. Although technology alone cannot address all privacy concerns, it is important that information systems take responsibility for the privacy ...
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... “I want to use a custom or 3rd party tool to backup/restore my farm! Does SharePoint support that?” ...
CS6362 1998 - Northumbria University
CS6362 1998 - Northumbria University

... type system of OODBs is much richer and complex. – RDBs require primary keys and foreign keys for implementing relationships, OODBs simply don’t. – Optimization of queries in OODBs is much complex than RDBs, but is mainly inspired from the Optimization techniques in RDBs. – OODBs support complex dat ...
SQL- and Operator-centric Data Analytics in Relational Main
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... HyPer [20] is a hybrid main-memory RDBMS that is optimized for both transactional and analytical workloads. It offers best-in-class performance for both, even when operating simultaneously on the same data. Adding capabilities to execute data analysis algorithms is the next step towards a unified da ...
OODB_Lecture1
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File Processing and Data Management Concepts
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CHOROCHRONOS: Research on Spatiotemporal Database Systems
CHOROCHRONOS: Research on Spatiotemporal Database Systems

... CHOROCHRONOS aims to achieve exactly this kind of interaction and synergy, and aims also to address the many real-life problems that require spatiotemporal concepts that go beyond traditional research in spatial and temporal databases (support moving objects is a good example of the latter [8, 21, 2 ...
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Chapter B: Hierarchical Model

... record into the work-area template for , and change the desired fields in that template.  Reflect the changes in the database by executing ...
Chapter B: Hierarchical Model
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... record into the work-area template for , and change the desired fields in that template.  Reflect the changes in the database by executing ...
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Securing Sensitive Data: A Comprehensive Guide to Encryption
Securing Sensitive Data: A Comprehensive Guide to Encryption

... Tokenization is the process of replacing sensitive data with unique identification symbols (a “token”) that acts as a proxy for the original information. The original data is kept in a master database that can be hardened, encrypted and keeps track of which token matches which original piece of data ...
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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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