Abstract: Systems and methods for testing components or scenarios with execution history are disclosed. A method may include: receiving, at a testing interface and from an application or program executed by a user electronic device, an identification of a test and one or more data layers of a plurality of data layers in pod to test, the plurality of data layers including a data collection layer, a data ingestion layer, a data messaging layer, a data enrichment layer, and a data connect layer; receiving, by the testing interface, a selection of testing parameters or values for the identified test; retrieving, by the testing interface, the identified test; executing, by the testing interface, the identified test on the identified one or more data layers using the selected testing parameters or values; retrieving, by testing interface, results of the execution of the test; and outputting, by the testing interface, the results.

Abstract: A method for providing personalized recommendations in real-time to facilitate electronic transactions is disclosed. The method includes automatically aggregating reference data from various sources, the reference data including user data and merchant data; receiving, via an application programming interface, an indication from a user, the indication including data that relates to a corresponding user activity; identifying a profile that corresponds to the user; determining, in real-time by using a model, recommendations for the user based on the indication, the reference data, and the profile; and providing, via the application programming interface, the recommendations to the user in response to the indication.

Abstract: Systems and methods for ingesting different data types using a are disclosed. According to one embodiment, a method for universal data ingestion may include: (1) receiving, at a data ingestion layer in a multi-layer pod, data from a data producer, wherein the data may be in any format; (2) ingesting, by the data ingestion layer, the data using a producer proxy agent or an ingestion application programming interface (API); (3) staging, by a data messaging/staging layer in the multi-layer pod, the ingested data; (4) enriching or transforming, by a data enrichment/transformation layer in the multi-layer pod, the staged data based on at least one customer requirement; and (5) routing, by a data connection layer in the multi-layer pod, the enriched or transformed data from the data messaging/staging layer to a data store at an appropriate velocity.

Abstract: Systems and methods for ingesting different data types using a are disclosed. According to one embodiment, a method for universal data ingestion may include: (1) receiving, at a data ingestion layer in a multi-layer pod, data from a data producer, wherein the data may be in any format; (2) ingesting, by the data ingestion layer, the data using a producer proxy agent or an ingestion application programming interface (API); (3) staging, by a data messaging/staging layer in the multi-layer pod, the ingested data; (4) enriching or transforming, by a data enrichment/transformation layer in the multi-layer pod, the staged data based on at least one customer requirement; and (5) routing, by a data connection layer in the multi-layer pod, the enriched or transformed data from the data messaging/staging layer to a data store at an appropriate velocity.

Abstract: Systems and methods for building and publishing schemas based on data patterns and data formats are disclosed. According to one embodiment, a method for building and publishing schemas may include: (1) accessing, by a schema recommendation program executed by a computer processor, a plurality of ingested objects in an object store; (2) extracting, by a data crawler, metadata from each of the plurality of ingested objects, wherein the metadata is related to a schema for the object and comprises an object name, a field name, and a field type; (3) identifying, by the data crawler, a plurality of potential schemas for the plurality of ingested objects based on the metadata; (4) receiving, by the schema recommendation program, a selection of one of the plurality of potential schemas; and (5) publishing, by the schema recommendation program, the selected potential schema to a catalog store.

Abstract: Systems and methods for ingesting different data types using a are disclosed. According to one embodiment, a method for universal data ingestion may include: (1) receiving, at a data ingestion layer in a multi-layer pod, data from a data producer, wherein the data may be in any format; (2) ingesting, by the data ingestion layer, the data using a producer proxy agent or an ingestion application programming interface (API); (3) staging, by a data messaging/staging layer in the multi-layer pod, the ingested data; (4) enriching or transforming, by a data enrichment/transformation layer in the multi-layer pod, the staged data based on at least one customer requirement; and (5) routing, by a data connection layer in the multi-layer pod, the enriched or transformed data from the data messaging/staging layer to a data store at an appropriate velocity.

Abstract: Systems and methods for testing components or scenarios with execution history are disclosed. A method may include: receiving, at a testing interface and from an application or program executed by a user electronic device, an identification of a test and one or more data layers of a plurality of data layers in pod to test, the plurality of data layers including a data collection layer, a data ingestion layer, a data messaging layer, a data enrichment layer, and a data connect layer; receiving, by the testing interface, a selection of testing parameters or values for the identified test; retrieving, by the testing interface, the identified test; executing, by the testing interface, the identified test on the identified one or more data layers using the selected testing parameters or values; retrieving, by testing interface, results of the execution of the test; and outputting, by the testing interface, the results.

Abstract: Systems and methods for universal auto-scaling are disclosed. In one embodiment, a method may include: (1) monitoring, by an auto-scale computer program executed by a computer processor, a utilization level at each of a plurality of data layers in a data pod, wherein each data layer comprises at least one node; (2) comparing, by the auto-scale computer program, each of the utilization levels to a threshold; (3) identifying, by the auto-scale computer program, that one of the thresholds is met or exceeded; and (4) deploying, by the auto-scale computer program, an additional node to the data layer with the met or exceeded utilization level.