Palantir technologies inc. (20240202174). SYSTEM AND METHODS FOR OBJECT VERSION TRACKING AND READ-TIME/WRITE-TIME DATA FEDERATION simplified abstract

From WikiPatents
Jump to navigation Jump to search

SYSTEM AND METHODS FOR OBJECT VERSION TRACKING AND READ-TIME/WRITE-TIME DATA FEDERATION

Organization Name

palantir technologies inc.

Inventor(s)

Peter Wilczynski of San Francisco CA (US)

Alexander Ryan of Palo Alto CA (US)

Allen Chang of Sunnyvale CA (US)

Daniel Cervelli of Mountain View CA (US)

Julie Tibshirani of Palo Alto CA (US)

Timothy Wilson of Palo Alto CA (US)

SYSTEM AND METHODS FOR OBJECT VERSION TRACKING AND READ-TIME/WRITE-TIME DATA FEDERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240202174 titled 'SYSTEM AND METHODS FOR OBJECT VERSION TRACKING AND READ-TIME/WRITE-TIME DATA FEDERATION

The abstract of the patent application describes a system and method for retrieving specific pieces of data from multiple data sources without ingesting the entire contents of those sources. When a request for an object is made, the system searches for the relevant data fragments in different sources, generates data queries, retrieves and transforms the data, and then assembles and forwards the data to the requesting client.

  • Nodes associated with each data source generate data queries
  • Data fragments are retrieved and transformed into an object-based data structure
  • Only relevant data pieces are obtained, avoiding ingestion of entire data sources
  • Object versioning ensures the most up-to-date data is retrieved
  • Data is joined and forwarded to the requesting client

Potential Applications: - Data retrieval and integration in distributed systems - Efficient data querying and processing in large-scale databases - Object-based data management in cloud computing environments

Problems Solved: - Avoiding unnecessary data ingestion in distributed systems - Streamlining data retrieval and processing for specific objects - Ensuring data consistency and accuracy in multi-source environments

Benefits: - Reduced data processing and storage costs - Improved data retrieval efficiency and accuracy - Enhanced data management and integration capabilities

Commercial Applications: Title: "Efficient Data Retrieval and Integration System for Distributed Environments" This technology can be applied in industries such as: - Cloud computing - Big data analytics - IoT data management

Questions about the technology: 1. How does the system ensure the most up-to-date data is retrieved? The system employs object versioning to retrieve the latest data fragments from different sources. 2. What are the key benefits of using object-based data management in distributed systems? Object-based data management improves data retrieval efficiency and accuracy while reducing processing costs.


Original Abstract Submitted

systems and methods are provided in order to avoid ingesting the entire contents of one or more data sources. an object may be associated with one or more pieces/fragments of data that can be stored in different data sources. when a request for the object is initiated, a search for those pieces/fragments of data can be performed. nodes associated with each data source may generate data queries appropriate for its corresponding data source, retrieve, and if needed transform the data into an object-based data structure. any pieces/fragments of data that have been discovered and retrieved can be joined, e.g., by an application programming interface server, and forwarded to a requesting client or application. in this way, only data relevant to the object is obtained. moreover, object versioning can be employed so that the most up-to-date data is obtained.