Palantir Technologies Inc.

Rahij Ramsharan

Mark Elliot

Matthew Sills

Ankit Shankar

Lawrence Manning

Anshuman Prasad

Casey Patton

Andrew Ash

Arjun Mathur

Joseph Ellis

Thomas Mathew

Mitchell Skiles

Andy Chen

Sri Krishna Vempati

Jonathan Victor

Christopher Wynnyk

Samuel Sinensky

Joanna Peller

Nikhil Taneja

Scott Adams

Christopher Rogers

Ryan Norris

Anuraag Bahl

Vinoo Ganesh

Joshua Casale

Aydin Keskin

Mackenzie Bohannon

Robert Kruszewski

Alexis Daboville

Hugh Zabriskie

Rushad Heerjee

James Thompson

Parvathy Menon

Adam Borochoff

Benjamin Duffield

Joseph Rafidi

Patrick Szmucer

Elliot Colquhoun

Katherine Ketsdever

John Mathews

Morten Telling

Kamran Khan

Computing systems methods, and non-transitory storage media are provided for retrieving information regarding an operation to be performed by a platform, performing a preliminary validation of the operation, generating details regarding the preliminary validation, transmitting at least a subset of the details of the preliminary validation to the platform, and populating the generated details on an interface. If the preliminary validation fails, the platform refrains from performing the operation. Furthermore, the logic describing the operation can be executed on different platforms and is not bound or limited to one platform.

Approaches of augmenting and streamlining task execution

Apparatus and methods receive input descriptive of a retention policy; evaluate one or more datasets against the retention policy to determine one or more deletable data elements in the one or more datasets; and delete the one or more deletable data elements from a data store.

Data deletion system and method

A computer system can receive one or more edits to be made to a canonical dataset and can temporarily store the one or more edits in a buffer. In response to receipt of a query of the canonical dataset, the computer system can rewrite the query to read from the canonical dataset and the buffer; combine the one or more edits from the buffer with the canonical dataset to form a combined dataset based on resolution policies to avoid conflicts between data; rewrite the query to execute on the combined dataset in lieu of the canonical dataset to optimize query performance; and execute the query on the combined dataset.

Low-latency database system

A database system comprised of a decoupled compute layer and storage layer is implemented to store, build, and maintain a canonical dataset, a temporary buffer, and an edits dataset. The canonical dataset is a set of batch updated data. The data is appended in chunks to the canonical dataset such that the canonical dataset becomes a historical dataset over time. The buffer is a write ahead log that contains the most recent chunks of data and provides atomicity and durability for the database system. The edits dataset is the set of data that contains edits such as cell mutations, row appends and/or row deletions. The database system enables users to make cell or row-level edits to tables and observe those edits in analytical systems or downstream builds with minimal latency.

A method, performed by one or more processors, including: receiving a user query; deriving, based on the user query, a search engine query for use with search engine software and a data access query for use with data access software; sending, to the search engine software, the search engine query to cause the search engine software to locate first data stored in a search engine index; sending, to the data access software, the data access query to cause the data access software to locate second data stored in a distributed data store; receiving, from the search engine software, the first data; and receiving, from the data access software, the second data.

Data retrieval system and method

A system for troubleshooting network problems is disclosed. A model can use demographic information, network usage information, and network membership information to determine an importance of a problem. The importance of the problem for the user who reported the problem, a number of other users affected by the problem, and the importance of the problem to the other users can be used to determine a priority for resolving the problem. Before and after a work order is executed to resolve the problem, network metrics can be gathered, including aggregate network metrics, and automatically presented in various user interfaces. The analysis of the metrics can be used to update a database of which work orders are assigned in response to which problems.

Computer network troubleshooting

A database system comprised of a decoupled compute layer and storage layer is implemented to store, build, and maintain a canonical dataset, a temporary buffer, and projection datasets. The canonical dataset is a set of batch updated data. The data is appended in chunks to the canonical dataset such that the canonical dataset becomes a historical dataset over time. The buffer is a write ahead log that contains the most recent chunks of data and provides atomicity and durability for the database system. The projection datasets are indexes of the canonical dataset and/or the buffer that may have single or multiple column sort-orders and/or particular data formats. The writes to the canonical dataset, projection datasets, and buffer may be asynchronous and therefore the database system is advantageously less resource constrained.

Projections for big database systems

Growing community of inventors

London, United Kingdom

Rahij Ramsharan