Josh Shinavier
Appearances by year
- Data Day Texas
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 13, 2022 | Data Day Texas 2022 | Data Day Texas | panelist | Panel: How do you scale a knowledge Graph when there is no consensus as Linkedin Our friends at Chevron posed the following problem: How do you scale a knowledge Graph when there is no consensus? The problem takes many forms. | |
| Jun 13, 2022 | Data Day Texas 2022 | Data Day Texas | speaker | Transpilers Gone Wild - announcing Hydra as LinkedIn If you have ever built an enterprise knowledge graph, you know that heterogeneity comes at a cost. The more complex the interfaces to the graph become – more…Show lessIf you have ever built an enterprise knowledge graph, you know that heterogeneity comes at a cost. The more complex the interfaces to the graph become – more domain data models, more data representation languages and data exchange formats, more programming languages in which applications and ETL code are written – the more time is spent on mappings, and the harder it becomes to keep these mappings | |
| Jan 25, 2020 | Data Day Texas 2020 | Data Day Texas | keynote | TinkerPop 2020 as Uber What is now Apache TinkerPop began in late 2009 as a collection of developer tools that intermingled graph structure and processing. The framework quickly…Show lessWhat is now Apache TinkerPop began in late 2009 as a collection of developer tools that intermingled graph structure and processing. The framework quickly evolved into a unifying data model and query paradigm for the emerging family of property graph databases, contributing significantly to the rise of graphs in industry and in the open source community. | |
| Jan 26, 2019 | Data Day Texas 2019 | Data Day Texas | speaker | A Graph is a Graph is a Graph: Equivalence, Transformations, and Composition of Graph Data Models as Uber The power of graphs lies in their intuitiveness: there is nothing much simpler to visualize or reason about than a bunch of dots connected by a bunch of lines.…Show lessThe power of graphs lies in their intuitiveness: there is nothing much simpler to visualize or reason about than a bunch of dots connected by a bunch of lines. In practice, however, there are a variety of graph data models, separated by shades of expressivity and nuance. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Michael Uschold | 3 | 1 | 2022 |
| Amy Hodler | 3 | — | 2022 |
| Jans Aasman | 3 | — | 2022 |
| Jonathan Mugan | 3 | — | 2022 |
| Ryan Wisnesky | 2 | 1 | 2022 |
| Bivin Sadler | 2 | — | 2022 |
| Corey Lanum | 2 | — | 2022 |
| Dave Bechberger | 2 | — | 2022 |
| Leo Meyerovich | 2 | — | 2022 |
| Paige Roberts | 2 | — | 2022 |
| Ying Ding | 2 | — | 2022 |
| Jesse Anderson | 2 | — | 2020 |
| Josh Perryman | 2 | — | 2020 |
| Juan Sequeda | 2 | — | 2020 |
| Karthik Ramasamy | 2 | — | 2020 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.