Waffle House, Inc. Aug 2017 - Oct 2018
Manager
Pure Smiles Sep 30, 2016 - May 24, 2017
Registered Dental Assistant
Kumon May 2013 - May 2014
Math Tutor
Tmom 2014 - 2014
Assitant
Pho Danh May 2011 - Aug 2011
Sous Chef
Education:
The University of Texas at San Antonio 2011 - 2015
Bachelors, Bachelor of Science, Biology, Microbiology, Pre Dental
Austin Community College 2012 - 2014
Bachelors, Biology
Lago Vista High School 2009 - 2011
Austin Community College 1970 - 1971
Bachelors
Interests:
Social Services Children Education Environment Poverty Alleviation Science and Technology Disaster and Humanitarian Relief Human Rights Animal Welfare Health
Platform Management Of Integrated Access Of Public And Privately-Accessible Datasets Utilizing Federated Query Generation And Query Schema Rewriting Optimization
- Austin TX, US David Lee Griffith - Austin TX, US Triet Minh Le - Austin TX, US Shad William Reynolds - Austin TX, US Arthur Albert Keen - Austin TX, US
Various techniques are described for platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization, including receiving at a dataset access platform a query formatted according to a first data schema, generating a copy of the query, saving the query and the copy to a datastore, parsing the copy of the query in the first schema using an inference engine, determining whether the query comprises data associated with an access control condition associated with accessing the dataset, the access control condition being configured to indicate whether the query is permitted to access the dataset, and rewriting, using a proxy server, the copy of the query in a second schema by converting the copy of the query into a triple associated with the query and another triple associated with the access control condition.
Platform Management Of Integrated Access Of Public And Privately-Accessible Datasets Utilizing Federated Query Generation And Query Schema Rewriting Optimization
- Austin TX, US David Lee Griffith - Austin TX, US Triet Minh Le - Austin TX, US Shad William Reynolds - Austin TX, US Arthur Albert Keen - Austin TX, US
Various techniques are described for platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization, including receiving at a dataset access platform a query formatted according to a first data schema, generating a copy of the query, saving the query and the copy to a datastore, parsing the copy of the query in the first schema using an inference engine, determining whether the query comprises data associated with an access control condition associated with accessing the dataset, the access control condition being configured to indicate whether the query is permitted to access the dataset, and rewriting, using a proxy server, the copy of the query in a second schema by converting the copy of the query into a triple associated with the query and another triple associated with the access control condition.
Computerized Tools To Discover, Form, And Analyze Dataset Interrelations Among A System Of Networked Collaborative Datasets
- Austin TX, US Bryon Kristen Jacob - Austin TX, US Jon Loyens - Austin TX, US David Lee Griffith - Austin TX, US Triet Minh Le - Austin TX, US Joseph Boutros - Austin TX, US
Assignee:
data.world, Inc. - Austin TX
International Classification:
G06F 16/25 G06F 9/54 G06F 16/21 G06F 16/248
Abstract:
Various techniques are disclosed for computerized tools to discover, form, and analyze dataset interrelations among a system of networked collaborative datasets including a repository configured to receive and store a dataset, and a dataset consolidation system configured to receive data to form a first input to initiate creation of a dataset based on a set of data, to activate a programmatic interface, to transform the set of data from a first format to an atomized format to form an atomized dataset, to monitor the creation of the dataset, to present data representing a status of a portion of the creation of the dataset, to calculate automatically dataset attributes of the linked dataset, to generate a plurality of sub-queries, and to retrieve data representing query results from the at least one of the different data repositories.
Consolidator Platform To Implement Collaborative Datasets Via Distributed Computer Networks
- Austin TX, US David Lee Griffith - Austin TX, US Triet Minh Le - Austin TX, US Arthur Albert Keen - Austin TX, US Alexander John Zelenak - Austin TX, US Jon Loyens - Austin TX, US Brett A. Hurt - Austin TX, US Shad William Reynolds - Austin TX, US Joseph Boutros - Austin TX, US
Assignee:
data.world, Inc. - Austin TX
International Classification:
G06F 16/2458 G06F 16/2457 G06F 21/62
Abstract:
Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a system may include data ingestion controller configured to format datasets to form a first and a second atomized dataset, the second atomized dataset including the first atomized dataset and one or more other atomized datasets. The system may include a dataset query engine configured to identify a portion of a dataset relevant to a query, and to retrieve query results from at least one of different data repositories.
Dataset Analysis And Dataset Attribute Inferencing To Form Collaborative Datasets
- Austin TX, US David Lee Griffith - Austin TX, US Triet Minh Le - Austin TX, US Jon Loyens - Austin TX, US Brett A. Hurt - Austin TX, US Arthur Albert Keen - Austin TX, US
Assignee:
data.world, Inc. - Austin TX
International Classification:
G06F 16/25 G06N 20/00 G06F 16/901 G06N 5/02
Abstract:
Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving a dataset having a data format into a dataset ingestion controller configured to form a collaborative dataset, interpreting data of the dataset against data classifications at an inference engine to derive at least an inferred attribute, associating the data with annotative data identifying the inferred attribute, and converting the dataset at a format converter to form an atomized dataset.
Platform Management Of Integrated Access Of Public And Privately-Accessible Datasets Utilizing Federated Query Generation And Query Schema Rewriting Optimization
- Austin TX, US David Lee Griffith - Austin TX, US Triet Minh Le - Austin TX, US Shad William Reynolds - Austin TX, US Arthur Albert Keen - Austin TX, US
Various techniques are described for platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization, including receiving at a dataset access platform a query formatted according to a first data schema, generating a copy of the query, saving the query and the copy to a datastore, parsing the copy of the query in the first schema using an inference engine, determining whether the query comprises data associated with an access control condition associated with accessing the dataset, the access control condition being configured to indicate whether the query is permitted to access the dataset, and rewriting, using a proxy server, the copy of the query in a second schema, and optimizing the rewriting by identifying a database engine to execute the query and including other data converted into another triple associated with an attribute of the query.
- Austin TX, US David Lee Griffith - Austin TX, US Triet Minh Le - Austin TX, US John Loyens - Austin TX, US Brett A. Hurt - Austin TX, US Arthur Albert Keen - Austin TX, US
Assignee:
data.world, Inc. - Austin TX
International Classification:
G06F 16/25 G06F 16/245 G06F 16/28
Abstract:
Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query of a consolidated dataset that may include datasets formatted atomized datasets, analyzing the query to classify portions of the query to form classified query portions, partitioning the query into sub-queries as a function of a classification type for each of the classified query portions, and retrieving data representing a query result from distributed data repositories.
Loading Collaborative Datasets Into Data Stores For Queries Via Distributed Computer Networks
- Austin TX, US David Lee Griffith - Austin TX, US Triet Minh Le - Austin TX, US Jon Loyens - Austin TX, US Brett A. Hurt - Austin TX, US Arthur Albert Keen - Austin TX, US
Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a system may include an atomized workflow loader configured to receive an atomized dataset to load into a data store, and to determine resource requirements data to describe at least one resource requirement. The atomized workflow loader may be further configured to select a data store type based on a resource requirement, and perform a load operation of the atomized dataset as a function of the data store type.
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