Abstract: Methods, systems, and devices supporting data storage are described. A database system may store order information for an organization. This order information may span multiple steps of an order lifecycle, including order creation, order changes, order fulfillment, etc. To efficiently store order information for low-latency querying and data consistency, the database system may implement order summaries. For example, a database server may receive a new order data object associated with an order identifier and may create a corresponding order summary data object. If the database system receives any additional data objects associated with the same order identifier, the database server may update the order summary data object based on the additional data objects. If the database system receives a query for information related to the order, the system may retrieve queried values directly from the order summary data object, rather than aggregating data on-the-fly across multiple underlying data objects.

Abstract: Methods, systems, and devices supporting data storage are described. A database system may store order information for an organization. This order information may span multiple steps of an order lifecycle, including order creation, order changes, order fulfillment, etc. To efficiently store order information for low-latency querying and data consistency, the database system may implement order summaries. For example, a database server may receive a new order data object associated with an order identifier and may create a corresponding order summary data object. If the database system receives any additional data objects associated with the same order identifier, the database server may update the order summary data object based on the additional data objects. If the database system receives a query for information related to the order, the system may retrieve queried values directly from the order summary data object, rather than aggregating data on-the-fly across multiple underlying data objects.

Abstract: Matching objects using keys based on match rules is described. A system generates a match rule key based on a match rule, wherein the match rule specifies whether two objects match. The system creates candidate keys by applying the match rule key to data objects. The system creates a probe key by applying the match rule key to a probe object. The system determines whether the probe key matches a candidate key. The system determines whether the probe object matches a candidate object based on applying the match rule to the probe object and the candidate object if the probe key matches the candidate key corresponding to the candidate object. The system identifies the probe object and the candidate object as matching based on the match rule if the probe object matches the candidate object.

Abstract: Systems and methods are provided for cleaning data in a customer relationship management system. A system receives a plurality of records from an on-demand system. The system identifies a record from the plurality of records that matches a stored record for a customer relationship management system. The system determines whether to update the stored record using the identified record. The system updates the stored record using the identified record in response to a determination to update the stored record using the identified record.

Abstract: Matching objects using keys based on match rules is described. A system generates a match rule key based on a match rule, wherein the match rule specifies whether two objects match. The system creates candidate keys by applying the match rule key to data objects. The system creates a probe key by applying the match rule key to a probe object. The system determines whether the probe key matches a candidate key. The system determines whether the probe object matches a candidate object based on applying the match rule to the probe object and the candidate object if the probe key matches the candidate key corresponding to the candidate object. The system identifies the probe object and the candidate object as matching based on the match rule if the probe object matches the candidate object.

Abstract: Systems and methods are provided for cleaning data in a customer relationship management system. A system receives a plurality of records from an on-demand system. The system identifies a record from the plurality of records that matches a stored record for a customer relationship management system. The system determines whether to update the stored record using the identified record. The system updates the stored record using the identified record in response to a determination to update the stored record using the identified record.

Abstract: A smart stuffed animal includes a head portion, a torso portion and four limbs. An air flow ventilation device is embedded within the torso portion of the smart stuffed animal to provide air circulation and reduce the settlement of carbon dioxide. The air ventilation device comprises soft foam fan blades.

Abstract: A smart stuffed animal includes a head portion, a torso portion and four limbs. An air flow ventilation device is embedded within the torso portion of the smart stuffed animal to provide air circulation and reduce the settlement of carbon dioxide. The air ventilation device comprises soft foam fan blades.