Abstract: A data exchange that provides historical data indexed by date is provided. The data exchange may include a raw data layer, a model data layer, a delta staging layer, a delta database and a plurality of workspaces. The raw data layer may be a landing zone for raw data records. The model data layer may include modeled data records. The delta staging layer may be a landing zone for changed data. The changed data may correspond to changes made to the data records. The delta database may be divided into partitions. Each partition may hold data records that changed during a given time period. A plurality of data records may be continuously transferred from the raw data layer to both the model data layer and the delta staging layer. Once, during a predetermined time period, the contents of the delta staging layer may replace the contents of a partition.

Abstract: Methods and systems for providing data manifests as a service (DMAAS) are described herein. A first computing system, may generate a first data manifest comprising a first count parameter and a first hash parameter associated with a first data exchange transaction between the first computing system and a second computing system, store the first data manifest to a blockchain data store and transfer a data payload of the first data exchange transaction. The second computing system may analyze the data payload received via the transport mechanism, generate a second data manifest including a second count parameter and a second hash parameter and store the second data manifest to the blockchain data store. A DMAAS computing system facilitates access to the blockchain data store, identifies transmission errors, and triggers acceptance of data at the second computing system upon a successful data exchange transaction.

Abstract: A data exchange that provides historical data indexed by date is provided. The data exchange may include a raw data layer, a model data layer, a delta staging layer, a delta database and a plurality of workspaces. The raw data layer may be a landing zone for raw data records. The model data layer may include modeled data records. The delta staging layer may be a landing zone for changed data. The changed data may correspond to changes made to the data records. The delta database may be divided into partitions. Each partition may hold data records that changed during a given time period. A plurality of data records may be continuously transferred from the raw data layer to both the model data layer and the delta staging layer. Once, during a predetermined time period, the contents of the delta staging layer may replace the contents of a partition.

Abstract: A data exchange that provides self-service data provisioning is provided. The data exchange may include a raw data layer, a model data layer, a plurality of workspaces and a testing environment. The raw data layer may be a landing zone for raw data records received from systems of record. The raw data layer may receive a plurality of raw data records, model and process the data records and transfer the data records to the model data layer. The model data layer may be a data layer that includes data modeled to data exchange specifications and enables queries to be executed on the data included in the model data layer. Each workspace may be allocated to a consumer. The consumer may query the plurality of data records within the model data layer. The testing environment may test scripts to ensure that the scripts conform to a predetermined set of testing specifications.

Abstract: A data exchange that provides self-service data provisioning is provided. The data exchange may include a raw data layer, a model data layer, a plurality of workspaces and a testing environment. The raw data layer may be a landing zone for raw data records received from systems of record. The raw data layer may receive a plurality of raw data records, model and process the data records and transfer the data records to the model data layer. The model data layer may be a data layer that includes data modeled to data exchange specifications and enables queries to be executed on the data included in the model data layer. Each workspace may be allocated to a consumer. The consumer may query the plurality of data records within the model data layer. The testing environment may test scripts to ensure that the scripts conform to a predetermined set of testing specifications.

Abstract: Methods and systems for providing data manifests as a service (DMAAS) are described herein. A first computing system, may generate a first data manifest comprising a first count parameter and a first hash parameter associated with a first data exchange transaction between the first computing system and a second computing system, store the first data manifest to a blockchain data store and transfer a data payload of the first data exchange transaction. The second computing system may analyze the data payload received via the transport mechanism, generate a second data manifest including a second count parameter and a second hash parameter and store the second data manifest to the blockchain data store. A DMAAS computing system facilitates access to the blockchain data store, identifies transmission errors, and triggers acceptance of data at the second computing system upon a successful data exchange transaction.

Abstract: Methods and systems for providing data manifests as a service (DMAAS) are described herein. a first computing system, may generate a first data manifest comprising a first count parameter and a first hash parameter associated with a first data exchange transaction between the first computing system and a second computing system, store the first data manifest to a blockchain data store and transfer a data payload of the first data exchange transaction. The second computing system may analyze the data payload received via the transport mechanism, generate a second data manifest including a second count parameter and a second hash parameter and store the second data manifest to the blockchain data store. A DMAAS computing system facilitates access to the blockchain data store, identifies transmission errors, and triggers acceptance of data at the second computing system upon a successful data exchange transaction.

Abstract: Methods and systems for providing data manifests as a service (DMAAS) are described herein. a first computing system, may generate a first data manifest comprising a first count parameter and a first hash parameter associated with a first data exchange transaction between the first computing system and a second computing system, store the first data manifest to a blockchain data store and transfer a data payload of the first data exchange transaction. The second computing system may analyze the data payload received via the transport mechanism, generate a second data manifest including a second count parameter and a second hash parameter and store the second data manifest to the blockchain data store. A DMAAS computing system facilitates access to the blockchain data store, identifies transmission errors, and triggers acceptance of data at the second computing system upon a successful data exchange transaction.