US 2025/0165487 A1 · HYBRID DATA ANALYTICS IN ON-PREMISE AND CLOUD COMPUTING ENVIRONMENTS

Abstract

Techniques described herein relate to performing hybrid data analytics, including generating and training data queries and/or taxonomies using on-premise data analytics tools, modifying the queries, and then executing the modified queries within a cloud computing environment using a query execution platform on the cloud environment. A query transformer may be used to modify the queries (e.g., NLP or text analytics queries) using operation mapping, fine-tuning, and/or search and replace listings, into modified queries compatible with the native data analytics functionalities of the cloud environment. An initial one-time data retrieval may be performed from the cloud computing environment to allow the queries to be generated and trained effectively using the on-premise tools and based on the organization's data. After transforming and validating the modified queries, these queries may be deployed within the cloud environment, and executed using a query execution platform implementing specially-designed functions built on the native cloud tools to execute the modified queries on organization's data within the cloud environment.

Claims20

Dependent claims

A system, comprising:

one or more processors;
and
one or more non-transitory computer-readable media storing computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving, by a first computer system in an on-premise computing infrastructure of an organization, a first data set comprising a first plurality of text data records;
executing a first query, using a first data analytics software tool executing on the first computer system, wherein executing the first query comprises applying the first query to the first data set;
validating the first query, based at least in part on the execution of the first query;
transforming the first query into a second query associated with a second data analytics software tool;
accessing a data store associated with the organization, wherein the data store is stored in a cloud computing environment separate from the on-premise computing infrastructure, the data store comprising a second plurality of text data records;
executing the second query, using the second data analytics software tool executing in the cloud computing environment, wherein executing the second query comprises applying the second query to the data store;
and
determining a set of query output records associated with the organization, based at least in part on the execution of the second query.

8 more elements

One or more non-transitory computer-readable media storing instructions executable by a processor, wherein the instructions, when executed by the processor, cause the processor to perform operations comprising:

receiving a first query compatible with a first data analytics software tool executing within an on-premise computing infrastructure of an organization;
receiving a first data set comprising a first plurality of text data records associated with the organization;
executing the first query, using the first data analytics software tool, wherein executing the first query comprises applying the first query to the first data set and outputting a first result;
transforming, based at least in part on the first result, the first query into a second query associated with a second data analytics software tool;
executing the second query, in a cloud computing environment separate from the on-premise computing infrastructure, using the second data analytics software tool, wherein executing the second query comprises applying the second query to a data store associated with the organization and stored within the cloud computing environment;
and
determining a set of query output records associated with the organization, based at least in part on the execution of the second query.

4 more elements

Dependencies are inferred from the claim text.

Hybrid data analytics in on-premise and cloud computing environments

Life of this patent

Hybrid data analytics in on-premise and cloud computing environments

Life of this patent

Abstract

Claims20