Software and metadata structures for distributed and interactive database architecture for parallel and asynchronous data processing of complex data and for real-time query processingJoseph Kevin AnzaloneNevzat BalkirLen CaversBrian L Foreman
Load balancing architectures can be used to solve overloading problems on web sites. Recently, most of the contents of web pages are retrieved from a database. Thus, the arrangement of the database server in a load balancing architecture is one of the mo
In the ODBC architecture, an application (such as Access or a Microsoft Visual Basic program) connects to the ODBC Driver Manager, which in turn uses a specific ODBC driver (for example, Microsoft SQL ODBC driver) to connect to a data source (in this...
Performance:InfoSphere DataStage’s parallel processing architecture ensures high-performance data transfer and efficiently handles large data volumes. Data Integration:InfoSphere DataStage includes robust data quality and governance features, ensuring the integrity and accuracy of your migrated data. ...
EF v2 and Data Access Architecture Best Practices Data Performance and Fault Strategies in Silverlight 3 Building WPF and Silverlight Applications with a Single Code Base Using Prism Building Tuple Distributed Caching and Scalability Composing Applications with Silverlight and Prism...
Speeds up application performance for applications that require massively parallel processing for large data volumes across many compute instances. Review massively parallel processing architecture High-throughput data ingest Powers data ingest at extreme speeds for IoT applications. Loading data into an Oracl...
Apply when the partition option isDynamicRange. If you use a query to retrieve the source data, hook?AdfRangePartitionColumnNamein the WHERE clause. For an example, see theParallel copy from Azure Database for PostgreSQLsection.No partitionUpperBoundThe maximum value of the partition column to co...
Sets Transact-SQL and query processing behaviors to be compatible with the specified version of the Database Engine.
Fast transaction processing OLTP applications run faster with Exadata’s scale-out architecture. Exadata Database Machine X11M lets more transactions be processed in parallel with I/O latency as low as 14 microseconds and 25% faster database server cores than the previous-generation platform. ...
The parallel architecture of an FPGA and its ability to re-configure data paths into direct sink-to-source connections make them an ideal fit for SIMD acceleration. When used through hardware abstraction libraries like TSL, a single code base can be shipped and execu...