Abstract: Techniques are provided for more efficiently using the bandwidth of the I/O path between a CPU and volatile memory during the performance of database operation. Relational data from a relational table is stored in volatile memory as column vectors, where each column vector contains values for a particular column of the table. A binary-comparable format may be used to represent each value within a column vector, regardless of the data type associated with the column. The column vectors may be compressed and/or encoded while in volatile memory, and decompressed/decoded on-the-fly within the CPU. Alternatively, the CPU may be designed to perform operations directly on the compressed and/or encoded column vector data. In addition, techniques are described that enable the CPU to perform vector processing operations on the column vector values.

Abstract: Techniques are provided for more efficiently using the bandwidth of the I/O path between a CPU and volatile memory during the performance of database operation. Relational data from a relational table is stored in volatile memory as column vectors, where each column vector contains values for a particular column of the table. A binary-comparable format may be used to represent each value within a column vector, regardless of the data type associated with the column. The column vectors may be compressed and/or encoded while in volatile memory, and decompressed/decoded on-the-fly within the CPU. Alternatively, the CPU may be designed to perform operations directly on the compressed and/or encoded column vector data. In addition, techniques are described that enable the CPU to perform vector processing operations on the column vector values.

Abstract: Techniques are provided for more efficiently using the bandwidth of the I/O path between a CPU and volatile memory during the performance of database operation. Relational data from a relational table is stored in volatile memory as column vectors, where each column vector contains values for a particular column of the table. A binary-comparable format may be used to represent each value within a column vector, regardless of the data type associated with the column. The column vectors may be compressed and/or encoded while in volatile memory, and decompressed/decoded on-the-fly within the CPU. Alternatively, the CPU may be designed to perform operations directly on the compressed and/or encoded column vector data. In addition, techniques are described that enable the CPU to perform vector processing operations on the column vector values.

Abstract: Techniques are provided for more efficiently using the bandwidth of the I/O path between a CPU and volatile memory during the performance of database operation. Relational data from a relational table is stored in volatile memory as column vectors, where each column vector contains values for a particular column of the table. A binary-comparable format may be used to represent each value within a column vector, regardless of the data type associated with the column. The column vectors may be compressed and/or encoded while in volatile memory, and decompressed/decoded on-the-fly within the CPU. Alternatively, the CPU may be designed to perform operations directly on the compressed and/or encoded column vector data. In addition, techniques are described that enable the CPU to perform vector processing operations on the column vector values.

Abstract: Techniques are provided for more efficiently using the bandwidth of the I/O path between a CPU and volatile memory during the performance of database operation. Relational data from a relational table is stored in volatile memory as column vectors, where each column vector contains values for a particular column of the table. A binary-comparable format may be used to represent each value within a column vector, regardless of the data type associated with the column. The column vectors may be compressed and/or encoded while in volatile memory, and decompressed/decoded on-the-fly within the CPU. Alternatively, the CPU may be designed to perform operations directly on the compressed and/or encoded column vector data. In addition, techniques are described that enable the CPU to perform vector processing operations on the column vector values.

Abstract: Techniques are provided for more efficiently using the bandwidth of the I/O path between a CPU and volatile memory during the performance of database operation. Relational data from a relational table is stored in volatile memory as column vectors, where each column vector contains values for a particular column of the table. A binary-comparable format may be used to represent each value within a column vector, regardless of the data type associated with the column. The column vectors may be compressed and/or encoded while in volatile memory, and decompressed/decoded on-the-fly within the CPU. Alternatively, the CPU may be designed to perform operations directly on the compressed and/or encoded column vector data. In addition, techniques are described that enable the CPU to perform vector processing operations on the column vector values.

Abstract: A database system that incorporates numerous features that reduce the total cost of maintaining the database system is provided. That database system includes a database appliance that executes a database server on a platform that includes a special purpose operating system specifically tailored to the services required by the database server. The database appliance configures itself by detecting the environment in which it resides and setting operational parameters based on the detected environment. The configuration metadata of all components of the system are stored in a centralized repository which itself may reside external to the system. Both the database server configuration and the operating system configuration are managed by a remotely located integrated management console, which interacts with and configures the system at the database system level, the operating system level and, optionally, at the hardware subsystem level. Backup management may also be performed remotely.

Abstract: A method and apparatus for dynamic quality adjustment based on changing streaming constraints is provided. According to one aspect of the present invention, a video stream is sent to a client according to a set of streaming constraints. At least a subset of the video information in the video stream is sent from a first source. Next, a signal is received indicating a relaxation of streaming constraints corresponding to the video stream. In one embodiment, the signal is a freeze frame signal. In another embodiment, the signal is a slow motion signal. In response to the signal, a set of improved quality video information from a second source is accessed and sent to the client. According to one embodiment, the set of improved quality video information comprises a still image. According to another embodiment, the set of improved quality video information comprises a set of preprocessed video information ready to be streamed.

Abstract: A method and apparatus are disclosed for using one device to configure information to be displayed on another device with different display capabilities. Techniques are described for receiving input on a management device, which specifies information for display on a target device. The management device generates an image of how the specified information will appear when displayed on the target device. Additional input may be received on the management device that changes the information to be displayed or the format of the information. The management device modifies the image to reflect such changes. The management device may display an image of the target device that includes the display of the selected information. The management device may also emulate the target device, thereby permitting a user to simulate physical use of the target device by manipulating the image of the target device on the management device.

Abstract: A method of executing a marketing campaign. In one embodiment the method comprises selecting collateral for a proposed marketing message and associating the marketing message with a plurality of customers. For each customer in the plurality of customers, a proposed marketing message is generated; a sales representative is assigned to the customer using an automated assignment rule; the customer-to-sales representative assignment made according to the automated assignment rule is electronically communicated to the assigned sales representative and the assigned sales representative is allowed to modify the proposed marketing message for the customer to create a personalized marketing message. The method also includes delivering the personal modified marketing messages to customers.

Abstract: A database system that incorporates numerous features that reduce the total cost of maintaining the database system is provided. That database system includes a database appliance that executes a database server on a platform that includes a special purpose operating system specifically tailored to the services required by the database server. The database appliance configures itself by detecting the environment in which it resides and setting operational parameters based on the detected environment. The configuration metadata of all components of the system are stored in a centralized repository which itself may reside external to the system. Both the database server configuration and the operating system configuration are managed by a remotely located integrated management console, which interacts with and configures the system at the database system level, the operating system level and, optionally, at the hardware subsystem level. Backup management may also be performed remotely.

Abstract: A database system that incorporates numerous features that reduce the total cost of maintaining the database system is provided. That database system includes a database appliance that executes a database server on a platform that includes a special purpose operating system specifically tailored to the services required by the database server. The database appliance configures itself by detecting the environment in which it resides and setting operational parameters based on the detected environment. The configuration metadata of all components of the system are stored in a centralized repository which itself may reside external to the system. Both the database server configuration and the operating system configuration are managed by a remotely located integrated management console, which interacts with and configures the system at the database system level, the operating system level and, optionally, at the hardware subsystem level. Backup management may also be performed remotely.

Abstract: A database system that incorporates numerous features that reduce the total cost of maintaining the database system is provided. That database system includes a database appliance that executes a database server on a platform that includes a special purpose operating system specifically tailored to the services required by the database server. The database appliance configures itself by detecting the environment in which it resides and setting operational parameters based on the detected environment. The configuration metadata of all components of the system are stored in a centralized repository which itself may reside external to the system. Both the database server configuration and the operating system configuration are managed by a remotely located integrated management console, which interacts with and configures the system at the database system level, the operating system level and, optionally, at the hardware subsystem level. Backup management may also be performed remotely.

Abstract: A database system that incorporates numerous features that reduce the total cost of maintaining the database system is provided. That database system includes a database appliance that executes a database server on a platform that includes a special purpose operating system specifically tailored to the services required by the database server. The database appliance configures itself by detecting the environment in which it resides and setting operational parameters based on the detected environment. The configuration metadata of all components of the system are stored in a centralized repository which itself may reside external to the system. Both the database server configuration and the operating system configuration are managed by a remotely located integrated management console, which interacts with and configures the system at the database system level, the operating system level and, optionally, at the hardware subsystem level. Backup management may also be performed remotely.

Abstract: A database system that incorporates numerous features that reduce the total cost of maintaining the database system is provided. That database system includes a database appliance that executes a database server on a platform that includes a special purpose operating system specifically tailored to the services required by the database server. The database appliance configures itself by detecting the environment in which it resides and setting operational parameters based on the detected environment. The configuration metadata of all components of the system are stored in a centralized repository which itself may reside external to the system. Both the database server configuration and the operating system configuration are managed by a remotely located integrated management console, which interacts with and configures the system at the database system level, the operating system level and, optionally, at the hardware subsystem level. Backup management may also be performed remotely.

Abstract: A method and apparatus are disclosed for using one device to configure information to be displayed on another device with different display capabilities. Techniques are described for receiving input on a management device, which specifies information for display on a target device. The management device generates an image of how the specified information will appear when displayed on the target device. Additional input may be received on the management device that changes the information to be displayed or the format of the information. The management device modifies the image to reflect such changes. The management device may display an image of the target device that includes the display of the selected information. The management device may also emulate the target device, thereby permitting a user to simulate physical use of the target device by manipulating the image of the target device on the management device.