Abstract: Data storage in a distributed computing system may involve the implementation of key/value stores across multiple storage structures of the distributed computing system, where a key may represent an index and a value may represent an object to store and/or retrieve. A given key/value store may be accessed by multiple compute nodes of the distributed computing system. Duplication and/or versioning may be implemented in or across one or more of the key/value stores.

Abstract: A data processing task may be implemented in a distributed computing system by the use of a workflow broken into flowlets that are arranged in a directed acyclic graph between data sources and data sinks. Such an arrangement may include various flow control and/or fault tolerance schemes, among other features.

Abstract: Data storage in a distributed computing system may involve the implementation of key/value stores across multiple storage structures of the distributed computing system, where a key may represent an index and a value may represent an object to store and/or retrieve. A given key/value store may be accessed by multiple compute nodes of the distributed computing system. Duplication and/or versioning may be implemented in or across one or more of the key/value stores.

Abstract: A data processing task may be implemented in a distributed computing system by the use of a workflow broken into flowlets that are arranged in a directed acyclic graph between data sources and data sinks. Such an arrangement may include various flow control and/or fault tolerance schemes, among other features.

Abstract: Systems and methods are disclosed for creating a digital consumer profile that may be dynamically and transiently generated, drawing upon attribute data that is available at time of the digital consumer profile creation. The digital consumer profile may further provide for dynamic and transient generations of a plurality of user profiles to fit definitions and use cases not anticipated at the outset of targeting or attribution efforts and attribute data collection. Regulatory conditions, privacy policies, enterprise rules and the like may determine, at least in part, the collection, analysis, and auditing of attribute data, and the merging of such data to form aliases that may be associated with consumers. The digital consumer service may comprise binding expression syntax to dynamically, and transiently, identify profiles to give flexibility and extensibility beyond having a flat match table.