Gartner predicts that data and analytics innovations fueled by graph technology will increase 7x by 2025, and 30% of organizations worldwide will use graph technology in the decision-making process by 2023. However, even though graph technologies have been around for 15+ years, it has mostly been in the past till now as a niche play, limited to advanced R&D and early exploration on small datasets. In this talk, we will share common themes from our enterprise customers’ main motivation to adopt graph technology like TigerGraph, how our product and solution capabilities are able to accelerate their adoption journey, and our on-going innovation pipeline to make graph technologies mainstream by catering towards the growing needs from enterprise...
Real-world applications may involve different kinds of graph computing workloads, which can be categ...
Big Data, a concept that means many things for many people, has ceased to be limited to the world o...
Recent developments in graph database mostly are huge projects involving big organizations, big oper...
In the era of big data, the graph models are becoming very popular data models as they can naturally...
Graphs are, by nature, "unifying abstractions" that can leverage interconnectedness to represent, ex...
Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will ...
Graphs are, by nature, ‘unifying abstractions’ that can leverage interconnectedness to represent, ex...
In the Big Data era, graph processing has been widely used to represent complex system structure, ca...
12 pages, 3 figures, collaboration between the large-scale systems and data management communities, ...
Abstract: Business operations are increasingly fragmented. It is difficult for organizations to coor...
The world is currently in the midst of a data revolution. Consumers now inhabit a digital world and ...
Graph structured data is ubiquitous in daily life and scientific areas and has attracted increasing ...
The Modern Data Stack has revolutionized analytics and enabled thousands of companies to leverage th...
The objective of this industry study was to capture baseline statistics on the size, nature and dire...
Emerging technologies like internet of things (IoT), block chain, cloud computing, machine learning,...
Real-world applications may involve different kinds of graph computing workloads, which can be categ...
Big Data, a concept that means many things for many people, has ceased to be limited to the world o...
Recent developments in graph database mostly are huge projects involving big organizations, big oper...
In the era of big data, the graph models are becoming very popular data models as they can naturally...
Graphs are, by nature, "unifying abstractions" that can leverage interconnectedness to represent, ex...
Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will ...
Graphs are, by nature, ‘unifying abstractions’ that can leverage interconnectedness to represent, ex...
In the Big Data era, graph processing has been widely used to represent complex system structure, ca...
12 pages, 3 figures, collaboration between the large-scale systems and data management communities, ...
Abstract: Business operations are increasingly fragmented. It is difficult for organizations to coor...
The world is currently in the midst of a data revolution. Consumers now inhabit a digital world and ...
Graph structured data is ubiquitous in daily life and scientific areas and has attracted increasing ...
The Modern Data Stack has revolutionized analytics and enabled thousands of companies to leverage th...
The objective of this industry study was to capture baseline statistics on the size, nature and dire...
Emerging technologies like internet of things (IoT), block chain, cloud computing, machine learning,...
Real-world applications may involve different kinds of graph computing workloads, which can be categ...
Big Data, a concept that means many things for many people, has ceased to be limited to the world o...
Recent developments in graph database mostly are huge projects involving big organizations, big oper...