PATENT CLAIM ANALYSIS

Application Number: 16109106
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
Described is a system (and method) that provides a framework for performing data transformations, which may be part of an Extract, Transform, and Load (ETL) process. The system may perform a data transformation by creating a pipeline that executes a set of independent software components (or component, plugins, add-ons, etc.). The components may be executed as individual services (e.g., microservices) that may be provided within containers to allow the components to be deployed as self-contained units on various types of host systems including cloud-based infrastructures. In addition, to provide further flexibility for the framework, the components may be implemented using preexisting software libraries.

Claim (Index 24):
The method of  claim 23 , wherein the third sequence of transformation operations further comprises:\n reformatting the data of the third data table structure using a second reformat component to produce second reformatted data; replicating the second reformatted data using a replicate component to produce first and second copies of the second reformatted data; and joining the first reformatted data and the first copy of the second reformatted data using a first join component to produce the first joined data, wherein the updated data is based upon a comparison of the data associated with the current day in the first reformatted data and the data associated with the previous day in the first copy of the second reformatted data.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 96.0
- Lexical Diversity: 1.63158
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10465222', '15614608', '10118667', '14846919', '14051390']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4945508128425642
- 35 USC 102 Novelty (BERT): 0.4888786877873426
- Combined Prediction Score: 0.493983600337042
- Mean Citation Score: 100.9875342
- Max Citation Score: 103.695656
- Similarity Product: 59.80852575804901

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test