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Graph Pattern Matching in GSQL - TigerGraph
Graph Pattern Matching in GSQL - TigerGraph
In this short technical blog, I will show you how to use GSQL to search a graph for all the occurrences of a small graph pattern. We call this pattern matching. Consider the problem of matching a pattern of vertices and directed edges in a...
·tigergraph.com·
Graph Pattern Matching in GSQL - TigerGraph
Graph Database vs. Document Database: Different Levels of Abstraction - DATAVERSITY
Graph Database vs. Document Database: Different Levels of Abstraction - DATAVERSITY
Graph databases and document databases make up a subcategory of non-relational databases or NoSQL. NoSQL databases were created to get a handle on large amounts of messy Big Data, moving very quickly. Managers use the non-relational toolkit to gain business insights and detect patterns in information on the fly, as Big Data streams into the system. Many companies, especially those with a large web presence like Google, Facebook, and Twitter, consider NoSQL databases a must-have.
·dataversity.net·
Graph Database vs. Document Database: Different Levels of Abstraction - DATAVERSITY
Global Graph Database Market Size, Prospects, Growth Trends, Key Trend, Future Expectations and Forecast from 2019 to 2025 – Express Press Release Distribution
Global Graph Database Market Size, Prospects, Growth Trends, Key Trend, Future Expectations and Forecast from 2019 to 2025 – Express Press Release Distribution
Albany, US, 2019-Jan-23 — /EPR Network/ —Market Research Hub (MRH) has actively included a new research study titled “Global Graph Database Market” Size
·express-press-release.net·
Global Graph Database Market Size, Prospects, Growth Trends, Key Trend, Future Expectations and Forecast from 2019 to 2025 – Express Press Release Distribution
Andrei Kashcha on Twitter
Andrei Kashcha on Twitter
https://t.co/7T0EOs6yG7 - Made this tiny tool to discover related subreddits.The graph is created based on jaccard similarity between two subreddits. Jaccard similarity is constructed from set of shared users.Source code https://t.co/J9r1jl1JjR pic.twitter.com/4hcg7mI4sg— Andrei Kashcha (@anvaka) January 10, 2019
·twitter.com·
Andrei Kashcha on Twitter
TinkerPop on Twitter: "3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb… https://t.co/mY
TinkerPop on Twitter: "3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb… https://t.co/mY
“3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb”
·twitter.com·
TinkerPop on Twitter: "3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb… https://t.co/mY
Analyze Amazon Neptune Graphs using Amazon SageMaker Jupyter Notebooks
Analyze Amazon Neptune Graphs using Amazon SageMaker Jupyter Notebooks
Whether you’re creating a new graph data model and queries, or exploring an existing graph dataset, it can be useful to have an interactive query environment that allows you to visualize the results. In this blog post we show you how to achieve this by connecting an Amazon SageMaker notebook to an Amazon Neptune database. […]
·aws.amazon.com·
Analyze Amazon Neptune Graphs using Amazon SageMaker Jupyter Notebooks