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Parallel Query Processing in Shared Disk Database Systems
Parallel Query Processing in Shared Disk Database Systems

... parallelism, e.g., XPRS [SKP088) and Volcano [Gr90]. However, SE has significant limitations with respect to meeting high performance and avail· ability requirements. In panicular, the shared memory can become a performance bottleneck thereby limiting the scalability of the architecture. Consequentl ...
Week 7 Table Analysis
Week 7 Table Analysis

... • Computer speeds have overcome slow response in most applications • Low training costs • Inertia – many tools are available for RDBMS, large personnel pool ...
Parallel Databases - Brown Computer Science
Parallel Databases - Brown Computer Science

... Result of the local aggregation is partitioned on the grouping attributes, and the aggregation performed again at each processor Pi to get the final result. ...
The Essentials of Clinical Data Management
The Essentials of Clinical Data Management

... Prior to site coordinators and staff completing case report forms or entering data into the data management system, they will need to be trained on the proper procedures to carry out these tasks ƒ Data managers are responsible for conducting the training with the site staff on the proper way to ...
The Entity-Relationship Model
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...  A collection of databases, tables and related objects organised in a ...
Oracle Migration Assessment
Oracle Migration Assessment

... end of the range a migration can be accomplished with minimal help from EnterpriseDB beyond any standard documentation and training that are available. At the lower end of the range, some consulting from EnterpriseDB experts may be needed to implement portions of the database and its client applicat ...
Storing OWL Ontologies in SQL Relational Databases
Storing OWL Ontologies in SQL Relational Databases

... which cannot be guaranteed as ontologies are often built in a distributed way. This means, for example, that one user may define an employee as having a social security number, but not foresee a martial status. This will not stop, however, another user from asserting that a given employee is married ...
DBTaint: Cross-Application Information Flow Tracking via Databases
DBTaint: Cross-Application Information Flow Tracking via Databases

... such as Cross-site Scripting (XSS) attacks, are among top software vulnerabilities [4]. Information flow tracking is a logical approach for preventing these attacks by tracking malicious input [10, 14]. However, the application and effectiveness of information flow tracking is limited by the only tw ...
IBM
IBM

...  Database is divided into multiple database partitions  Database partitions run on same or separate servers (shared-nothing)  Each partition has its own table spaces, log, configuration, etc.  Data is spread over N database partitions  Queries are executed in parallel on all database partitions ...
Introduction to Database Systems, Data Modeling and SQL
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... • True object-oriented DBMSs are not widely used, but there is ORM (object relational mapping) which provides the bridge. • Data associated with object-oriented applications are typically stored in conventional or extended relational databases. ...
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... Embedded hardware units and devices in a system, Embedded software in a system, Examples of embedded systems, Design process in Embedded system, Formalization of system design, Design process and design examples(smart card, digital camera, mobile phone), Classification of Embedded Systems, Skills re ...
Spatial Query Languages
Spatial Query Languages

... ConvexHull: Smallest convex geometric set enclosing the geometry SymmDiff: Return the portions of two geometries that do not intersect with each other ...
Automating Layout of Relational Databases
Automating Layout of Relational Databases

... that are co-accessed during query execution. For workloads containing queries that co-access multiple objects, the gain in I/O performance by choosing an appropriate database layout other than full striping can be significant. While the specific problem of high random I/O accesses due to large co-ac ...
Nuværende produktnavn i Middeldatabasen 50724 AB Aclonifen
Nuværende produktnavn i Middeldatabasen 50724 AB Aclonifen

Chapter 5: Other Relational Languages
Chapter 5: Other Relational Languages

... customers who have an account at the Perryridge branch.  We need to:  Join depositor and account.  Project customer-name, account-number and balance. ...
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... to access value of field for current record in recordset to check if we are at the end of the recordset ...
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... ▪ Conceptual Models enhance the communication between IT developers and clients (the final users): no IT knowledge is required to understand such visual language. It schematizes the Multidimensional view over the data. ▪ An instance of a conceptual model is called conceptual schema, that is a concis ...
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... • If the changes do not yield expected results, they can be undone and the component restored to its original state • Reason OODBMS is such a strong player in the CAD and computer-aided manufacturing ...
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... Performance must equal/exceed relational equivalents  Design amenable to future plans w.r.t. type evolution  Structured types must be supported in columns (someday)  Localize initial changes to query compiler where possible ...
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... customer was running a database with NO backups and a disaster hit them. Here is the complete story • Disaster Recovery Stories by Alejandro Vargas • OTN Forums is the other good place ...
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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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