Snowflake had 95 patents in digitalization during Q2 2024. Snowflake Inc’s patents in Q2 2024 focus on optimizing database export systems for faster processing, completing questionnaires using structured and unstructured data, configuring processing stacks with telemetry APIs, ranking data listings in a search engine based on signals, and securely transmitting encrypted data files between database deployments. GlobalData’s report on Snowflake gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Snowflake had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Export data from tables into partitioned folders on an external data lake (Patent ID: US20240211491A1)
The patent filed by Snowflake Inc. describes a database export system that utilizes multiple nodes to process data and generate structured result files partitioned by an export parameter. This system aims to distribute and merge data efficiently to avoid creating small files and increase processing speed through parallelism. By generating result files of a specified maximum size in a final format, the system optimizes parallel processing based on factors such as the number of processing nodes, available memory, requested final file sizes, and operation-based ordering to complete data exports in a scalable multi-stage approach.
The method outlined in the patent involves receiving a command to export data from a database to an external datastore, performing lower and higher level projections using a plurality of nodes, and storing the result files in the external datastore. The system allows for structuring files in the external datastore based on a partition-by parameter setting and a final file type. Additionally, the method includes unloading files to an intermediate storage, hashing files at different levels, and generating files in temporary and final file formats. The patent also covers machine-storage mediums and systems embodying instructions for executing the described operations, emphasizing the efficient processing and storage of exported data.
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