Palantir Technologies Inc.

Beyang Liu

Kevin Simler

Lindsay Canfield

Adit Kumar

Karl Hanson

Punya Biswal

Nima Ghamsari

Eugene Marinelli

A multipath explorer may allow a user to quickly visualize an entire population of data hierarchically in a tree-like structure. For example, a user can select a first filter to be applied to a data set, and the multipath explorer can display data in the data set that satisfies the first filter requirements and data in the data set that does not satisfy the first filter requirements. A second filter can be applied to the data in the data set, and the multipath explorer can display data in the data set that satisfies the first and second filter requirements, data in the data set that satisfies the first filter requirements and not the second filter requirements, data in the data set that satisfies the second filter requirements and not the first filter requirements, and data in the data set that does not satisfy the first or second filter requirements.

Filter chains for exploring large data sets

Methods and systems for providing a plurality of applications with concurrent access to data are disclosed. One such method includes identifying attributes of an expected data set to be accessed concurrently by the applications, initializing a shared cache with a column data store configured to store the expected data set in columns, and creating a memory map for accessing a physical memory location in the shared cache. The method may also include mapping the applications' data access requests to the shared cache with the memory map. Only one instance of the expected data set is stored in memory, so each application is not required to create additional instances of the expected data set in the application's memory address space. Therefore, larger expected data sets may be entirely stored in memory without limiting the number of applications running concurrently.

System and method utilizing a shared cache to provide zero copy memory mapped database

Methods and systems for providing a plurality of applications with concurrent access to data are disclosed. One such method includes identifying attributes of an expected data set to be accessed concurrently by the applications, initializing a shared cache with a column data store configured to store the expected data set in columns and creating a memory map for accessing a physical memory location in the shared cache. The method may also include mapping the applications' data access requests to the shared cache with the memory map. Only one instance of the expected data set is stored in memory, so each application is not required to create additional instances of the expected data set in the application's memory address space. Therefore, larger expected data sets may be entirely stored in memory without limiting the number of applications running concurrently.

Filter chains with associated multipath views for exploring large data sets

Growing community of inventors

Menlo Park, CA, United States of America

Beyang Liu