Palantir technologies inc. (20240184761). INDEXING AND RELAYING DATA TO HOT STORAGE simplified abstract

INDEXING AND RELAYING DATA TO HOT STORAGE

Organization Name

palantir technologies inc.

Inventor(s)

Robert Fink of San Francisco CA (US)

Amr Al Mallah of New York NY (US)

Haithem Turki of New York NY (US)

INDEXING AND RELAYING DATA TO HOT STORAGE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240184761 titled 'INDEXING AND RELAYING DATA TO HOT STORAGE

Simplified Explanation

The method involves receiving requests for log data from search nodes in a distributed system, identifying indexed log data based on the requests, and updating search and indexing nodes independently.

• Requests for log data are received from search nodes in a distributed system.
• Indexed log data is identified based on specific requests.
• Search and indexing nodes are updated independently.

Key Features and Innovation

• Efficient retrieval of log data in a distributed system.
• Independent updating of search and indexing nodes.
• Streamlined process for accessing indexed log data.

Potential Applications

This technology can be applied in various industries where efficient retrieval of log data is essential, such as cybersecurity, data analysis, and system monitoring.

Problems Solved

• Streamlining the process of accessing log data in a distributed system.
• Enhancing the efficiency of search and indexing nodes.
• Improving overall system performance and data retrieval speed.

Benefits

• Faster access to log data.
• Improved system performance.
• Enhanced data analysis capabilities.

Commercial Applications

• Cybersecurity companies can use this technology to quickly access and analyze log data for threat detection.
• Data analysis firms can benefit from the efficient retrieval of log data for trend analysis and reporting.

Prior Art

There may be existing technologies that focus on log data retrieval in distributed systems, but the specific method of independent updating of search and indexing nodes sets this innovation apart.

Frequently Updated Research

Research on optimizing the performance of search and indexing nodes in distributed systems may provide valuable insights into further enhancing this technology.

Unanswered Questions

Question 1

How does this method compare to traditional log data retrieval techniques in terms of speed and efficiency?

This method offers faster access to log data by independently updating search and indexing nodes, potentially improving overall system performance.

Question 2

What are the potential scalability challenges of implementing this technology in large distributed systems?

Scalability challenges may arise in large distributed systems due to the need for efficient coordination between search and indexing nodes. Implementing robust scaling mechanisms can help address these challenges.

Original Abstract Submitted

a method comprises receiving, from one or more search nodes of a distributed system, one or more requests for log data, the one or more search nodes being associated with one or more first storage systems; identifying an indexed portion of the log data stored in a second storage system of one or more second storage systems based on a particular request of the one or more requests, the log data being indexed by one or more indexing nodes independently from the one or more requests being received and processed by the one or more search nodes; changing a first number of the one or more search nodes and updating a second number of the one or more indexing nodes independently.