Abstract: A method and architecture for using dynamically loaded plugins is described herein. The dynamically loaded plugin architecture comprises a parent context and a plugin repository. The parent context may define one or more reusable software components. The plugin repository may store one or more plugins. When a plugin is loaded, a child context may be created dynamically. The child context is associated with the plugin and inherits the one or more reusable software components from the parent context.

Abstract: A method and architecture for using dynamically loaded plugins is described herein. The dynamically loaded plugin architecture comprises a parent context and a plugin repository. The parent context may define one or more reusable software components. The plugin repository may store one or more plugins. When a plugin is loaded, a child context may be created dynamically. The child context is associated with the plugin and inherits the one or more reusable software components from the parent context.

Abstract: A data relationships storage platform for analysis of one or more data sources is described herein. A data processing system may be communicatively coupled to one or more data sources and one or more big-data databases. One or more collectors may collect data pieces from the one or more data sources. One or more analyzer may analyze the collected data pieces to determine whether one or more relationships exist between the collected data pieces. The analysis results in one or more data globs that include one or more of the data pieces and relationship information, such as tags. The tagged data globs may be communicated to and stored in one or more big-data databases.

Abstract: A data relationships storage platform for analysis of one or more data sources is described herein. A data processing system may be communicatively coupled to one or more data sources and one or more big-data databases. One or more collectors may collect data pieces from the one or more data sources. One or more analyzer may analyze the collected data pieces to determine whether one or more relationships exist between the collected data pieces. The analysis results in one or more data globs that include one or more of the data pieces and relationship information, such as tags. The tagged data globs may be communicated to and stored in one or more big-data databases.

Abstract: An enterprise data processing module and method are described herein. The enterprise data processing module comprises at least one collector and at least one analyzer. The collectors may be operable to collect data pieces from a plurality of data sources. The analyzers may be operable to analyze the collected data pieces to determine cross-source relationships that exist between the data pieces collected from the plurality of sources. The analyzed data pieces may be stored in one or more big-data databases as blocks of data according to the cross-source relationships.

Abstract: A method and architecture for using dynamically loaded plugins is described herein. The dynamically loaded plugin architecture comprises a parent context and a plugin repository. The parent context may define one or more reusable software components. The plugin repository may store one or more plugins. When a plugin is loaded, a child context may be created dynamically. The child context is associated with the plugin and inherits the one or more reusable software components from the parent context.

Abstract: An enterprise data processing module and method are described herein. The enterprise data processing module comprises at least one collector and at least one analyzer. The collectors may be operable to collect data pieces from a plurality of data sources. The analyzers may be operable to analyze the collected data pieces to determine cross-source relationships that exist between the data pieces collected from the plurality of sources. The analyzed data pieces may be stored in one or more big-data databases as blocks of data according to the cross-source relationships.

Abstract: A method and architecture for using dynamically loaded plugins is described herein. The dynamically loaded plugin architecture comprises a parent context and a plugin repository. The parent context may define one or more reusable software components. The plugin repository may store one or more plugins. When a plugin is loaded, a child context may be created dynamically. The child context is associated with the plugin and inherits the one or more reusable software components from the parent context.

Abstract: A data relationships storage platform for analysis of one or more data sources is described herein. A data processing system may be communicatively coupled to one or more data sources and one or more big-data databases. One or more collectors may collect data pieces from the one or more data sources. One or more analyzer may analyze the collected data pieces to determine whether one or more relationships exist between the collected data pieces. The analysis results in one or more data globs that include one or more of the data pieces and relationship information, such as tags. The tagged data globs may be communicated to and stored in one or more big-data databases.

Abstract: A data relationships storage platform for analysis of one or more data sources is described herein. A data processing system may be communicatively coupled to one or more data sources and one or more big-data databases. One or more collectors may collect data pieces from the one or more data sources. One or more analyzer may analyze the collected data pieces to determine whether one or more relationships exist between the collected data pieces. The analysis results in one or more data globs that include one or more of the data pieces and relationship information, such as tags. The tagged data globs may be communicated to and stored in one or more big-data databases.

Abstract: A method and architecture for using dynamically loaded plugins is described herein. The dynamically loaded plugin architecture comprises a parent context and a plugin repository. The parent context may define one or more reusable software components. The plugin repository may store one or more plugins. When a plugin is loaded, a child context may be created dynamically. The child context is associated with the plugin and inherits the one or more reusable software components from the parent context.

Abstract: A method and architecture for using dynamically loaded plugins is described herein. The dynamically loaded plugin architecture comprises a parent context and a plugin repository. The parent context may define one or more reusable software components. The plugin repository may store one or more plugins. When a plugin is loaded, a child context may be created dynamically. The child context is associated with the plugin and inherits the one or more reusable software components from the parent context.

Abstract: A data relationships storage platform for analysis of one or more data sources is described herein. A data processing system may be communicatively coupled to one or more data sources and one or more big-data databases. One or more collectors may collect data pieces from the one or more data sources. One or more analyzer may analyze the collected data pieces to determine whether one or more relationships exist between the collected data pieces. The analysis results in one or more data globs that include one or more of the data pieces and relationship information, such as tags. The tagged data globs may be communicated to and stored in one or more big-data databases.

Abstract: A data relationships storage platform for analysis of one or more data sources is described herein. A data processing system may be communicatively coupled to one or more data sources and one or more big-data databases. One or more collectors may collect data pieces from the one or more data sources. One or more analyzer may analyze the collected data pieces to determine whether one or more relationships exist between the collected data pieces. The analysis results in one or more data globs that include one or more of the data pieces and relationship information, such as tags. The tagged data globs may be communicated to and stored in one or more big-data databases.

Abstract: An enterprise data processing module and method are described herein. The enterprise data processing module comprises at least one collector and at least one analyzer. The collectors may be operable to collect data pieces from a plurality of data sources. The analyzers may be operable to analyze the collected data pieces to determine cross-source relationships that exist between the data pieces collected from the plurality of sources. The analyzed data pieces may be stored in one or more big-data databases as blocks of data according to the cross-source relationships.

Abstract: An enterprise data processing module and method are described herein. The enterprise data processing module comprises at least one collector and at least one analyzer. The collectors may be operable to collect data pieces from a plurality of data sources. The analyzers may be operable to analyze the collected data pieces to determine cross-source relationships that exist between the data pieces collected from the plurality of sources. The analyzed data pieces may be stored in one or more big-data databases as blocks of data according to the cross-source relationships.

Abstract: A method and architecture for using dynamically loaded plugins is described herein. The dynamically loaded plugin architecture comprises a parent context and a plugin repository. The parent context may define one or more reusable software components. The plugin repository may store one or more plugins. When a plugin is loaded, a child context may be created dynamically. The child context is associated with the plugin and inherits the one or more reusable software components from the parent context.

Abstract: A method and architecture for using dynamically loaded plugins is described herein. The dynamically loaded plugin architecture comprises a parent context and a plugin repository. The parent context may define one or more reusable software components. The plugin repository may store one or more plugins. When a plugin is loaded, a child context may be created dynamically. The child context is associated with the plugin and inherits the one or more reusable software components from the parent context.

Abstract: A data relationships storage platform for analysis of one or more data sources is described herein. A data processing system may be communicatively coupled to one or more data sources and one or more big-data databases. One or more collectors may collect data pieces from the one or more data sources. One or more analyzer may analyze the collected data pieces to determine whether one or more relationships exist between the collected data pieces. The analysis results in one or more data globs that include one or more of the data pieces and relationship information, such as tags. The tagged data globs may be communicated to and stored in one or more big-data databases.

Abstract: An enterprise data processing module and method are described herein. The enterprise data processing module comprises at least one collector and at least one analyzer. The collectors may be operable to collect data pieces from a plurality of data sources. The analyzers may be operable to analyze the collected data pieces to determine cross-source relationships that exist between the data pieces collected from the plurality of sources. The analyzed data pieces may be stored in one or more big-data databases as blocks of data according to the cross-source relationships.