Abstract: In general, the subject matter of the present disclosure relates to a service for creating and executing software programs. For example, the disclosed service may include a service interface and an orchestrator. The service interface my receive input, including software code associated with a program or application. The orchestrator may, automatically based on an analysis of the code, or based on input from the user, send sections of the code to one or more kernels for execution under different execution environments.

Abstract: Generally, the present disclosure relates to solving issues with inefficient management of data within an organization by building a central repository of events within the data ecosystem. The data event management system, disclosed herein, offers a platform agnostic ledger of the data ecosystem that enables data transparency and identifies patterns/bottlenecks to properly adjust to meeting the needs of the data consumer. With this information, data driven decisions can be made to prioritize workload and ensure funding is supporting the consumer prioritized assets.

Abstract: The disclosed application relates to a tool by which a user may create a cloud workspace that includes a data memory space, as well as a tool for automatically identifying ad-hoc analyses on that data. The solution allows a user to connect to data sources using SQL or GUI tools, combine data from different data sources, prepare and clean the data, mine the data for insights, and move that data into downstream reporting tools for visualization. The system is linked to a code repository to allow data scientists to execute code from the code repository in trial data spaces, investigate that data, and prepare more in-depth analytics for downstream reporting tools.

Abstract: The disclosed application relates to a tool by which a user may create a cloud workspace that includes a data memory space, as well as a tool for automatically identifying ad-hoc analyses on that data. The solution allows a user to connect to data sources using SQL or GUI tools, combine data from different data sources, prepare and clean the data, mine the data for insights, and move that data into downstream reporting tools for visualization. The system is linked to a code repository to allow data scientists to execute code from the code repository in trial data spaces, investigate that data, and prepare more in-depth analytics for downstream reporting tools.

Abstract: The disclosed application relates to a tool by which a user may create a cloud workspace that includes a data memory space, as well as a tool for automatically identifying ad-hoc analyses on that data. The solution allows a user to connect to data sources using SQL or GUI tools, combine data from different data sources, prepare and clean the data, mine the data for insights, and move that data into downstream reporting tools for visualization. The system is linked to a code repository to allow data scientists to execute code from the code repository in trial data spaces, investigate that data, and prepare more in-depth analytics for downstream reporting tools.

Abstract: The subject matter of this disclosure relates to a software platform that ingests data from a variety of data sources, processes the data, and makes the data available for search. In addition, a data portal is described through which users can quickly find information and improve metadata to take advantage of the enterprise's data assets. Various aspects of disclosed software platforms include technologies for obtaining metadata without touching underlying data assets, technologies for using table or database lineage as a factor in determining document relevance, processes for receiving data pushed from data sources, and processes for exposing what a user needs to do to access particular data assets.

Abstract: Generally, the present disclosure relates to solving issues with inefficient management of data within an organization by building a central repository of events within the data ecosystem. The data event management system, disclosed herein, offers a platform agnostic ledger of the data ecosystem that enables data transparency and identifies patterns/bottlenecks to properly adjust to meeting the needs of the data consumer. With this information, data driven decisions can be made to prioritize workload and ensure funding is supporting the consumer prioritized assets.

Abstract: The subject matter of this disclosure relates to a software platform that ingests data from a variety of data sources, processes the data, and makes the data available for search. In addition, a data portal is described through which users can quickly find information and improve metadata to take advantage of the enterprise's data assets. Various aspects of disclosed software platforms include technologies for obtaining metadata without touching underlying data assets, technologies for using table or database lineage as a factor in determining document relevance, processes for receiving data pushed from data sources, and processes for exposing what a user needs to do to access particular data assets.