Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query into a collaborative dataset consolidation system, identifying datasets relevant to the query, generating one or more queries to access disparate data repositories, and retrieving data representing query results. In some cases, one or more queries are applied (e.g.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving a dataset and dataset attributes and identifying a first version of the dataset. The method may include identifying data that varies from a first version of the dataset, and generating a second version of the dataset to include a first subset and a second subset of atomized data. The method may include storing subsets of atomized data points as an atomized dataset.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query into a collaborative dataset consolidation system, identifying datasets relevant to the query, generating one or more queries to access disparate data repositories, and retrieving data representing query results. In some cases, one or more queries are applied (e.g.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a system may include data ingestion controller configured to format datasets to form a first and a second atomized dataset, the second atomized dataset including the first atomized dataset and one or more other atomized datasets. The system may include a dataset query engine configured to identify a portion of a dataset relevant to a query, and to retrieve query results from at least one of different data repositories.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query of a consolidated dataset that may include datasets formatted atomized datasets, analyzing the query to classify portions of the query to form classified query portions, partitioning the query into sub-queries as a function of a classification type for each of the classified query portions, and retrieving data representing a query result from distributed data repositories.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a system may include an atomized workflow loader configured to receive an atomized dataset to load into a data store, and to determine resource requirements data to describe at least one resource requirement. The atomized workflow loader may be further configured to select a data store type based on a resource requirement, and perform a load operation of the atomized dataset as a function of the data store type.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving a dataset having a data format into a dataset ingestion controller configured to form a collaborative dataset, interpreting data of the dataset against data classifications at an inference engine to derive at least an inferred attribute, associating the data with annotative data identifying the inferred attribute, and converting the dataset at a format converter to form an atomized dataset.

Abstract: A personalized content delivery system provides personalized content to e-commerce customers visiting client web pages. A content management server, a data aggregation server, a personalization/segmentation database and a content management interface server interconnect via a data network or the Internet/WWW. Client web pages reside upon client web servers and upon third party web servers and contain personalized content delivery code (PCDC), which is executed when a customer computer receives the web page. Upon execution of the PCDC, the customer computer sends a query across the Internet to the content management server, the query identifying the client and the customer computer identity and may include a secondary client identifier. In response to the query, the content management server identifies personalized content corresponding to the client and to the customer computer identity.

Abstract: In accordance with a particular embodiment, the present disclosure is directed to a system including a web page that is downloadable from a web server to an e-commerce customer computer. The web page includes at least one image to be displayed on the e-commerce customer computer the web page also includes a personalized content delivery code to be executed by the e-commerce customer computer that causes the e-commerce customer computer to send a query to a content management server that includes the identity of the e-commerce customer. The system also includes a content management server to receive the query from the e-commerce customer computer via a communications network, the content management server storing customer attributes and identifying personalized content to be communicated to the e-commerce customer computer based on the customer attributes. The content management server delivers the personalized content based upon an identity of an e-commerce customer.

Abstract: In a particular embodiment, the disclosure is directed to a system including a web page that is downloadable from a web server to an e-commerce customer computer. The web page includes at least one image to be displayed on the e-commerce customer computer. The web page also includes a personalized content delivery code to be executed by the e-commerce customer computer that causes the e-commerce customer computer to: retrieve an identity of the e-commerce customer; retrieve a session ID previously created and saved in a memory on the e-commerce customer computer; and send a query to a content management server that includes the identity of the e-commerce customer and the session ID. The system also includes a content management server to receive the query from the e-commerce customer computer via a data network, the content management server identifying personalized content to be communicated to the e-commerce customer computer.

Abstract: In accordance with a particular embodiment, the present disclosure is directed to a system including a web page that is downloadable from a web server to an e-commerce customer computer. The web page includes at least one image to be displayed on the e-commerce customer computer. The web page also includes a personalized content delivery code to be executed by the e-commerce customer computer that causes the e-commerce customer computer to send a query to a content management server that includes the identity of the e-commerce customer. The system also includes a content management server to receive the query from the e-commerce customer computer via a communications network, the content management server storing customer attributes and identifying personalized content to be communicated to the e-commerce customer computer based on the customer attributes. The content management server delivers the personalized content based upon an identity of an e-commerce customer.